Fulltime Data Scientist openings in Seattle, United States on September 09, 2022

Data Scientist II – AI/ML at Novo Nordisk

Location: Seattle

About the Department

Are you enthusiastic about driving the design of next generation healthcare solutions that will change the life of patients with diabetes and other serious chronic diseases? Do you want to be on the cutting edge of science to discover novel therapies and delivery technologies that patients both need and want?

The Novo Nordisk research center Seattle serves as the foundation of the Novo Nordisk U.S. research and development efforts for diabetes, obesity, liver disease and other therapeutic areas. In addition to discovering new therapies and technologies, our dynamic team of scientists and engineers lead an aspirational charge to pioneer scientific breakthroughs that have the potential to prevent and ultimately cure chronic disease. It is where science and technology intersect, and a vision can become a clinical reality. Are you ready to make a difference? Then join us as we drive change to defeat chronic disease.

Who we are?

The AI and Analytics Team is part of Novo Nordisks Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology.

We believe in the value of a diverse and inclusive culture. Together, we build and grow talent to ensure the development of new solutions. The team is comprised of collaborative, diverse and passionate people who have a true sense of pride in their work. We are committed to helping each other grow, and we are driven by the opportunity to make a difference in the lives of people living with chronic disease. Everything we do starts and ends with the patient. And, while changing the future of chronic disease treatment, such as diabetes and obesity, is no easy task, we also recognize the importance of an enjoyable workplace, which is why weve cultivated a culture of fun, ingenuity, and innovation. Our competitive compensation package and support of a healthy work-life balance all add to a best-in-class employee experience.

Please note we are open to hiring at more senior titles commensurate with experience

alternative location for this position can be our Lexington, MA facility

The Position

This Data Scientist will contribute to the research teams effort towards exploring and creating new technology and being a world leader in data science within our fields. This Data Scientist will bring elements of data collection, preparation, and engineering as well as software engineering in a data science context, specifically in the applications of AI and Machine Learning (ML) approaches.. Moreover, the Data Scientist will, with guidance from more senior Data Scientists, contribute to the development and validation of Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, and work closely with other engineers to build AI/ML-fueled products.

Relationships

The Data Scientist II reports to the head of the related research area. Internal partners include data scientists, specialists, engineers, software developers, technology scouts & partnership developers, system engineers, designers, anthropologists, medical doctors, IT professionals, and others across US and Denmark.

External relationships include commercial and academic collaboration partners.

Essential Functions
• Develop and validate algorithms based various AI/ML approaches.
• Implement and maintain local and cloud-based data and computational environments and platforms and help to integrate data from different sources.
• Perform data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity.
• Develop web applications to visualize how AI/ML works which may include a complex data visualization as an integral part of data science activity.
• Collaborate with other Data Scientists, as well as engineers and/or scientists from other disciplines to complete daily tasks
• Collaborate with other data scientists to design, code, train, test, deploy, and iterate on machine learning systems
• Occasionally demonstrates initiative in identifying and addressing unmet patient needs using data

Collaborative teamwork
• Actively participates in cross-functional teams to develop AI and ML solutions
• Actively participates in virtual global team meetings regularly
• Achieves business goals, shares learnings, knowledge and skills and promotes cross-functional teamwork
• Occasionally collaborate with external partners
• Prepare and present written and oral reports and proposals to peers and management

Physical Requirements

0-10% overnight travel required.

Qualifications
• Bachelors degree required. Masters degree preferred. Degree within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline is preferred
• Bachelors degree with 3+ years relevant experience required or Masters Degree with 1+ years relevant experience can be considered. Advanced degree can be substituted for experience.
• Relevant experience includes:
• Experience with software development which includes writing high quality code processing data using Python, R, or Matlab.
• Ability to develop and validate algorithms against clinical data, ensuring appropriateness of fit for data science processes.
• Experience with with modern data science approaches including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks and deep learning. May also have expertise in statistical modeling or broader applied mathematics such as optimization theory.
• Ability to perform in-depth data analysis and present results and conclusions to engineering and leadership teams.
• Preferred experience includes:
• Experience with containerization and standard cloud services such as AWS S3, EC2, and Lamba Function.
• Experience in data management, database management system, and familiarity with NoSQL and/or Graph database.
• Experience in pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, were life changing.

Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.

Novo Nordisk requires all new hires to be fully vaccinated against COVID-19 prior to the first date of employment. As required by applicable law, Novo Nordisk will consider requests for reasonable accommodation.

If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
Apply Here
For Remote Data Scientist II – AI/ML roles, visit Remote Data Scientist II – AI/ML Roles

********

Senior Data Scientist at Docusign

Location: Seattle

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

Our agreement with employees

DocuSign is committed to building trust and making the world more agree-able for our employees, customers, and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At DocuSign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better. And for that, you’ll be loved by us, our customers, and the world in which we live.

The team

Our Product & Program Management teams work on some of the most impactful and challenging problems in the Software industry. We are a highly collaborative cross-border group that operates on the edge between Engineering and the business and helps to design solutions from concept to launch – all while focusing on and advocating for what’s best for our customers. We work closely with Engineering and Design to create some of the most innovative never-been-done-before products. We partner with the Sales, Customer Success, Marketing, Finance, Legal, and Security teams to bring the product to market.

This position

DocuSigns Data Science team is looking for a Sr. Data Scientist to lead the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the product data science team and work directly in partnership with a variety of stakeholders including but not limited to design, content, product, and engineering partners to support and empower them with data-driven actionable insights.

You would be Embedded in a specific product space requiring you to establish and grow relationships. As a Data Scientist, you’ll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of DocuSign’s products. If you are an experienced data scientist and passionate about building products and capabilities that enable a culture of test and learn, and data-driven product development, then this could be a great role for you.

The Product Data Science team works on some of the most impactful and challenging problems in the Software industry. We are a highly collaborative and customer-centric cross-border group with the purpose of enabling a culture of data-driven product development at DocuSign. We do this by providing fast and easy access to quality data and insights to the product organization, building data and AI-driven products and capabilities for our customers, and enabling experimentation into a seamless part of the product development lifecycle to enable smarter decision-making and better product development. We hire people with a broad set of skills and people who want to work on creating never-been-done-before solutions at scale while ensuring world-class reliability and security. Our Agreement Cloud is a revolutionary solution that changes the way people live, work, and come to an agreement.

This position is an individual contributor role reporting to the Director of Data Science and is designated Flex.

Responsibilities

Collaborate with cross-functional teams to research, build and improve data science and Machine Learning models and analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention

Be the subject matter expert for driving the product data strategy

Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact

Define KPIs with goals, own and manage regular reports around product usage and success

Design and build automated dashboards that connect data from internal and external data sources, with visualizations and tools that allow business users to self-serve on their website data needs

Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests

Leverage data to develop actionable analytical insights & present findings to senior management

Evangelize models, frameworks, analysis, and insights with stakeholders and business partners

Act with a sense of urgency and purpose, identify and resolve roadblocks, reach out to cross-functional team members to solicit input and/or assist when appropriate

Basic qualifications

MS or PhD in quantitative fields (Statistics, Math, CS, Economics or Finance preferred)

8+ years of demonstrated experience with machine learning or data science

4+ years of experience in a data science or analytics role in a SaaS/Cloud industry

Hands-on experience solving real business problems is required

Proficiency in Python and SQL

Deep knowledge of statistics and rigorous analytical technique

Experience designing and refining machine learning models

Strong data analysis and scientific thinking skills

Hands-on experience with all the following:

Pulling data from external sources using APIs

Join data from disparate data systems

Distilling large data sets into actionable insights that drive business value

Ability and a knack for communicating data and technical work to non-technical stakeholders

Strong communication and leadership skill especially the ability to collaborate cross-functionally and lead through influence across functional and organizational lines

Knowledge and experience of agile/scrum product development

Preferred qualifications

Ability to present data in a visual format and explain the insights clearly and concisely

Experience with data visualization tools such as Qlik/Qlikview, Tableau, PowerBI, etc.

Highly motivated, organized, self-starter who thrives in a fast-paced environment

A strong individual contributor who partners well with internal teams

Strong knowledge and hands-on experience with statistical testing such as A/B, multivariate, and bayesian testing
Apply Here
For Remote Senior Data Scientist roles, visit Remote Senior Data Scientist Roles

********

AI/ML – Sr. Data Scientist – Statistician, AI/ML Data at Apple

Location: Seattle

AI/ML – Sr. Data Scientist – Statistician, AI/ML Data

Seattle,Washington,United States

Machine Learning and AI
• The Siri Data Organization is seeking a dedicated Data Scientist to conduct Expertise in causality (experimentation, econometrics, and general statistical modeling) and knowledge of how to leverage these skills to solve hard practical product problems.
• Strong communication skills (written and verbal) and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners
• Capable of driving projects of varying sizes and scopes – some will take months and some will take weeks and you will need to know when to dive deep Data-querying skills (SQL and/or Spark, etc.)
• Experience with a scripting language for data processing and development (e.g., Python, R, or Scala)
• Ability to stay focused and prioritize a heavy workload while achieving exceptional quality upbeat, adaptable, and results-oriented with a positive attitude
Description

The Siri Data Organization is seeking a passionate Data Scientist to conduct methodological research in the realm of experimentation and causal inference methods! Your work will provide the building blocks for tracking and iterating on our product. It will drive core metrics and help to produce data sets that empower engineering teams across Siri to iterate on their features using data. You will: – Conduct statistical research to drive how we calculate our metrics and conduct measurement – your work will drive sound inferences about the Siri product – Deep dive our methodologies to determine how we can best engineer our evaluation/experimentation systems – Partner closely with evaluation/experimentation engineering teams (engineers, PMs, analysts) to get your methodological developments translated into technologies that Siri engineering will use every day!

Education & Experience

Prefer advanced degree + 3 years of industry experience. An academic background is in a quantitative field such as Statistics, Biology, Cognitive Science, Economics, Sociology, or similar.

Additional Requirements

Apple Footer

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple is required to comply with a COVID-19 vaccination mandate issued by the New York City Department of Health. We will verify the vaccination status of all New York City team members who are working at an Apple Store, office, or partner store in New York City. New York City Department of Health Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apply Here
For Remote AI/ML – Sr. Data Scientist – Statistician, AI/ML Data roles, visit Remote AI/ML – Sr. Data Scientist – Statistician, AI/ML Data Roles

********

Data Scientist, AWS Product Analytics at Amazon Web Services

Location: Seattle

Description

Job summary

Amazon is looking for an outstanding Data Scientist to join the AWS Product Analytics and Data Science team. This is your opportunity to be a core member of the AWS Product Analytics team that has direct impact on the long-term roadmap of the AWS Product teams. This role is within a broader Data science, Business Intelligence & Data engineering team that focuses on using statistical modeling and machine learning to drive actionable and impactful business decisions across AWS. Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day.

On the AWS Product Analytics team, you will be surrounded by people who are exceptionally talented, bright, and driven, and believe that data-driven decision making is critical to our success. To be successful in this role, you have a strong passion for analytics and accountability, set high standards with a focus on superior business outcome. You should also have strong business acumen who feels comfortable tackling ambiguous business problems in dynamic business environment. Your decision will influence AWS VP and Director level product and business decisions that directly impact AWS product roadmap and customer experience.

We take working hard, having fun, and making history seriously. AWS sets the standard for functionality, cost, and performance for many cloud-based services, but its still early days for cloud computing, and there are boundless opportunities to continue to redefine the world of cloud computing – come help us make history!

Key job responsibilities

The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and strong business acumen. As a Data Scientist, you will discover and solve real world problems by analyzing one of the worlds largest datasets, developing statistical and machine learning models to drive business decisions, adopting best practices, and conducting data science research and development. You will also collaborate closely with business leaders, software engineers, economists, and researchers.
• You will adopt the best practices for delivering high quality data science projects, influencing analytics roadmap, setting best practices
• You will work on high visibility and high business impact problems that directly influence AWS product roadmaps and business decisions. You will spend time formulating and defining science problem based on business requirements.
• You will translate business problems into analytical framework and form testing hypotheses that can be answered with available data using scientific methods or identify additional data needed
• You will work on a diverse set of analytics problems, such as user growth, pricing, forecasting, causal inference, marketing research, experimentation, and other machine learning problems
• You will collaborate with cross-function teams with AWS business leaders, data engineers, software engineers, economists, and other scientists
• You will help define key performance indicators for key business programs and propose analytics framework that drive business value
• You are familiar with state-of-the-art statistical and machine learning methods, understand the full life-cycle of analytics projects, have hands-on experience building end-to-end analytics solutions
Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

This position involves on-call responsibilities, typically for one week every two months. We dont like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we dont get paged for the same issue twice.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

A day in the life

You will work directly with internal stakeholders including, product managers, go-to-market leaders, and other business leaders at manager and director level. You will work with customer face-to-face by decompose their ambiguous business problem into a science problem. You will adopt best practices and hold high standard for the team. You will test different business hypotheses and build statistical, machine learning, and causal inference models. You will solve the most impactful and challenging business today to provide actionable insights.

About the team

We are trusted analytics thought partner to enable AWS product and business leaders to make informed product decisions and drive revenue growth, through rigorous science methods, reusable analytics frameworks, and scalable analytics products.

BASIC QUALIFICATIONS
• Masters degree or equivalent in Statistics, Computer Science, Economics, Engineering, Applied Math, Operations Research, Business Analytics, Marketing Research, or related quantitative fields
• 2+ years of work experience applying various statistical and machine learning methods, such as regression, classification, forecasting, causal inference, experiment design, and deep learning
• 2+ years’ of experience with scripting languages (e.g. Python), data querying languages (e.g. SQL), and statistical/mathematical software (e.g. R, SAS)
• Excellent verbal and written communication to communicate with business partners
• Demonstrated ability to independently drive the full life-cycle of a data science project
PREFERRED QUALIFICATIONS
• PhD degree or equivalent in Statistics, Computer Science, Economics, Engineering, Applied Math, Operations Research, Business Analytics, Marketing Research, or related quantitative fields
• 4+ years of work experience applying various statistical and machine learning methods, such as regression, classification, forecasting, causal inference, experimentation, marketing research, or deep learning
• Sound business judgment with demonstrated ability to balance technical and business needs to make the right decisions about technology, models and methodologies
• Experience with AWS or other Cloud technologies is preferred
• Experience working in product analytics team is preferred
• Experience in consulting firm, marketing research, and team leading experience is preferred
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Apply Here
For Remote Data Scientist, AWS Product Analytics roles, visit Remote Data Scientist, AWS Product Analytics Roles

********

Data Scientist II at Novo Nordisk

Location: Seattle

About the Department

Are you enthusiastic about driving the design of next generation healthcare solutions that will change the life of patients with diabetes and other serious chronic diseases? Do you want to be on the cutting edge of science to discover novel therapies and delivery technologies that patients both need and want?
The Novo Nordisk research center Seattle serves as the foundation of the Novo Nordisk U.S. research and development efforts for diabetes, obesity, liver disease and other therapeutic areas. In addition to discovering new therapies and technologies, our dynamic team of scientists and engineers lead an aspirational charge to pioneer scientific breakthroughs that have the potential to prevent and ultimately cure chronic disease. It is where science and technology intersect, and a vision can become a clinical reality. Are you ready to make a difference? Then join us as we drive change to defeat chronic disease.

Who we are?
The AI and Analytics Team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology.
We believe in the value of a diverse and inclusive culture. Together, we build and grow talent to ensure the development of new solutions. The team is comprised of collaborative, diverse and passionate people who have a true sense of pride in their work. We are committed to helping each other grow, and we are driven by the opportunity to make a difference in the lives of people living with chronic disease. Everything we do starts and ends with the patient. And, while changing the future of chronic disease treatment, such as diabetes and obesity, is no easy task, we also recognize the importance of an enjoyable workplace, which is why we’ve cultivated a culture of fun, ingenuity, and innovation. Our competitive compensation package and support of a healthy work-life balance all add to a best-in-class employee experience.

Please note we are open to hiring at more senior titles commensurate with experience

alternative location for this position can be our Lexington, MA facility

The Position

This Data Scientist will contribute to the research team’s effort towards exploring and creating new technology and being a world leader in data science within our fields. This Data Scientist will bring elements of data collection, preparation, and engineering as well as software engineering in a data science context, specifically in the applications of AI and Machine Learning (ML) approaches Moreover, the Data Scientist will, with guidance from more senior Data Scientists, contribute to the development and validation of Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, and work closely with other engineers to build AI/ML-fueled products.

Relationships

The Data Scientist II reports to the head of the related research area. Internal partners include data scientists, specialists, engineers, software developers, technology scouts & partnership developers, system engineers, designers, anthropologists, medical doctors, IT professionals, and others across US and Denmark.

External relationships include commercial and academic collaboration partners.

Essential Functions

Develop and validate algorithms based various AI/ML approaches.
Implement and maintain local and cloud-based data and computational environments and platforms and help to integrate data from different sources.
Perform data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity.
Develop web applications to visualize how AI/ML works which may include a complex data visualization as an integral part of data science activity.
Collaborate with other Data Scientists, as well as engineers and/or scientists from other disciplines to complete daily tasks
Collaborate with other data scientists to design, code, train, test, deploy, and iterate on machine learning systems
Occasionally demonstrates initiative in identifying and addressing unmet patient needs using data

Collaborative teamwork

Actively participates in cross-functional teams to develop AI and ML solutions
Actively participates in virtual global team meetings regularly
Achieves business goals, shares learnings, knowledge and skills and promotes cross-functional teamwork
Occasionally collaborate with external partners
Prepare and present written and oral reports and proposals to peers and management

Physical Requirements

0-10% overnight travel required.

Qualifications

Bachelor’s degree required. Master’s degree preferred. Degree within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline is preferred
Bachelor’s degree with 3+ years’ relevant experience required or Master’s Degree with 1+ years’ relevant experience can be considered. Advanced degree can be substituted for experience.
Relevant experience includes:
Experience with software development which includes writing high quality code processing data using Python, R, or Matlab.
Ability to develop and validate algorithms against clinical data, ensuring appropriateness of fit for data science processes.
Experience with with modern data science approaches including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks and deep learning. May also have expertise in statistical modeling or broader applied mathematics such as optimization theory.
Ability to perform in-depth data analysis and present results and conclusions to engineering and leadership teams.
Preferred experience includes:
Experience with containerization and standard cloud services such as AWS S3, EC2, and Lamba Function.
Experience in data management, database management system, and familiarity with NoSQL and/or Graph database.
Experience in pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.

Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.

Novo Nordisk requires all new hires to be fully vaccinated against COVID-19 prior to the first date of employment. As required by applicable law, Novo Nordisk will consider requests for reasonable accommodation.

If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
Apply Here
For Remote Data Scientist II roles, visit Remote Data Scientist II Roles

********

100% REMOTE Data Scientist/Engagement Manager at Jobot

Location: Seattle

100% REMOTE Data Scientist/Engagement Manager / $$$ / work life balance, amazing growth, top compensation, great culture!

This Jobot Job is hosted by Jillian Morgan

Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.

Salary $120,000 – $170,000 per year

Company Overview

A bit about us

The company’s vision is to be the world’s largest problem solver. We enable viable and valuable data and analytics transformations for our clients. Our mission is to help Fortune 500 or similar organizations

build core capabilities that set them on a path to achieve analytics self-sufficiency. We are transforming the way companies execute enterprise-wide data engineering and data science initiatives. With a holistic range of services, products & platforms across analytics consulting, data engineering, data science and

management consulting, we are disrupting the analytics services and products space. To help us achieve

our objectives, we are looking for passionate and experienced practitioners to be part of our US organization and become a part of the growth story for one of the fastest growing AI/ML companies in the world.

Why join us?

Top compensation

401K/Match

Medical

Dental

Vision

Flexible Scheduling

Work Life Balance

Ability to work with a multitude of different clients

Job Details

Role Description

We are looking for passionate individuals to help our clients solve complex challenges enabling their sustained analytics transformation. As a member of our Client Services team, you will lead a team of Associates and Senior Associates who design, execute and implement cutting edge analytical solutions. You are responsible for institutionalizing data driven insights and recommendations to bring customer strategies to life. An ideal candidate should be able to manage client engagements and relationships while leading internal teams. Your role will involve generating insights and developing recommendations, and communicating strategy and delivery plan with clients. The candidate will become familiar with the strategic direction of our customers and help them translate their goals into action on existing projects while also developing a pipeline of additional projects.

As an Engagement Manager, you will
• Design strategy and roadmap for building analytics capabilities of large organizations
• Build relationships with customers to become a trusted partner who provides thought leadership and strategic guidance
• Proactively identify sales and business development opportunities for your existing clients
• Lead, mentor and coach a team of Associates and Senior Associates across our US offices to ensure the success of both our team members and our customers
• Work with your counterparts in India – who lead local Data Science teams – to effectively deliver projects leveraging our global delivery model
• Solve complex business problems for organizations, leveraging conventional and new age data sources and applying cutting-edge advanced analytics techniques

Required Qualifications
• Bachelor’s degree
• 7+ years’ experience managing projects in a fast-paced environment across various industries or functions with demonstrated track record of successful leadership
• Proven technical expertise (Regression, Machine Learning, Classification, Time series etc.) and knowledge of various analytics tools (R/SAS/Python/SPSS etc.)
• Demonstrated ability to structure and manage large scale analytics programs – identifying resource and technical requirements, defining methodology and operationalizing the program
• Strong networking capability coupled with growth mindset focused on acquiring new projects and growing existing engagements
• Experience in working with cross-functional and cross-cultural teams
• High level of comfort dealing with ambiguity and change; must be able to translate business gaps into analytics problems defining the analytical approach, delivering actionable insights and operationalizing recommendations
• Demonstrated ability to build strong client relationships, often in complex and sensitive environments
• Must be willing to travel up to 80% of the time

Preferred Qualifications
• Bachelor’s degree in a quantitative field
• Master’s in Business Analytics, Data Sciences or equivalent
• Consulting background a plus

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
Apply Here
For Remote 100% REMOTE Data Scientist/Engagement Manager roles, visit Remote 100% REMOTE Data Scientist/Engagement Manager Roles

********

Data Scientist at BCG GAMMA

Location: Seattle

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

BCG GAMMA combines innovative skills in computer science, artificial intelligence (AI), statistics, and machine learning with deep industry and functional expertise. The BCG GAMMA team is comprised of world-class data scientists, software and data engineers, as well as product experts with a consulting mindset.

We specialize in creating competitive advantage for our clients through AI driven transformations. Our teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-build to industry specific leading edge AI software solutions.

What You’ll Do

As a Data Scientist, you’ll be part of our rapidly growing team. You’ll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You’ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.

Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG GAMMA. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.

WHO YOU ARE

We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies
• Comfortable in a client-facing role with the ambition to lead teams
• Likes to distill complex results or processes into simple, clear visualizations
• Explain sophisticated data science concepts in an understandable manner
• Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
• Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
• Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
• Have strong project management skills

What You’ll Bring (Experience & Qualifications)

YOU BRING
• Degree in computer science, applied mathematics, statistics, machine learning, or other data centric disciplines with relevant internships or up to 5 years of relevant industry work experience providing advanced analytics solutions
• Strong record of extracurricular activity, professional accomplishment, and leadership
• Additional experience in core analytic methods such as predictive modeling, customer segmentation/clustering, network analysis, supply chain optimization, simulation, etc.
• Fluency in at least one coding language (e.g. Python, R)

WORK ENVIRONMENT
• Fast-paced, intellectually intense, service-oriented environment
• Fluency in English is required as well as fluency in the local language for some locations
• Ability to travel based on client and business needs. Expect 30-50%
Apply Here
For Remote Data Scientist roles, visit Remote Data Scientist Roles

********

Data Scientist- Seattle, Washington at PAE CONSULTING ENGINEERS INC

Location: Seattle

Job Details

Job Location
Seattle Office – Seattle, WA

Position Type
Full Time

Job Category
Information Technology

About the Role

The Data scientist utilizes their analytical, statistical, and programming skills to collect, analyze, interpret and summarize data from various sources, and transform that data into actionable information used for business intelligence. The Data Scientist guides and collaborates with peers and stakeholders to visualize the development of intelligence in a meaningful way that enables data driven insights, strategy, and decisions.

What You’ll Do
• Work with PAE stakeholders to identify opportunities to utilize data and intelligence to drive business solutions.
• Mine and analyze structured and unstructured data from various sources, including software applications, databases, PAE’s data warehouse, data lakes, etc.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Utilize predictive modeling, AI/ML technologies, and other approaches to develop capabilities that improve and optimize PAE business operations, design activities, and strategic planning.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance, data accuracy and quality.
• Identify and analyze data patterns and trends to propose solutions and strategies to business challenges.
• Develop interactive reports, calculators, and dashboards using data visualization tools and techniques.
• Document processes and research with an eye toward knowledge sharing and cross training.
• Assist in the design, implementation and maintenance of data infrastructure.
• Assist leadership and stakeholders in the development of strategic roadmaps, execution plans, and budgets.
• Research and stay abreast of AEC-centric application technologies and industry trends.
• Maintain familiarity with PAE’s information workflows and tools with an eye toward efficiency, intelligence, and innovation.
What You bring
• Bachelor’s degree in computer science, statistics, applied math or related field. Master’s degree preferred.
• 4+ years’ experience working as a data scientist or similar role.
• 4+ years’ direct experience and regular usage of data science and data visualization tools/platforms, and associated languages (Python, R, Java, SQL, etc.).
• Strong problem-solving skills with an emphasis on solution development.
• Experience using languages (Python, R, Java, SQL, etc.) to manipulate data and draw insights from large data sets.
• Extensive background in data mining and statistical analysis of both structured and unstructured data.
• Experience creating data architectures, manipulating data sets and building statistical models.
• Experience developing interactive reports, calculators, and dashboards using data visualization tools (Tableau, Power BI, etc.) and techniques, and familiarity with the limitations and strengths between them.
• Knowledge of AI/machine learning techniques and their real-world advantages and drawbacks.
• Knowledge of advanced statistical techniques and concepts and experience with associated applications.
• Ability to interpret communicated concepts/business needs and use extrapolation and creativity to collaboratively develop solutions.
• Experience using web services, associated languages, and APIs for data integration from various online sources.
• Experience with distributed data/computing tools.
• Experience operating within the Agile framework for solution development.
• Excellent communication and documentation skills, including experience translating complex technical subjects in a way that is meaningful to the target audience.
• Ability to always maintain a professional, positive and friendly manner.
• Strong time and task management capabilities, able to adapt, shift focus, and prioritize workflow with minimal supervision.
• Experience and ability to engage with peers and leadership in process improvement and problem resolution.
Who We Are

PAE is a pioneering mechanical and electrical engineering firm that continually sets the bar for sustainability in the built environment. From our offices in Portland, Eugene, Seattle, and San Francisco, we employ an integrated and responsive approach to project design that balances the environmental, economic, and social goals of every client we work with. PAE promotes a work environment that encourages creative problem-solving and the sharing of ideas through an open office environment and a culture of continuing education. Our portfolio includes more than 130 LEED rated or registered projects as well as dozens of projects that have either achieved or are pursuing the Living Building Challenge, Architecture 2030, Carbon Neutral, and Net Zero Energy/Net Zero Water status.

A Triple Bottom Line firm, PAE’s success is measured not only by profit, but by our commitment to the environment, our employees, and our communities.

Our Culture

At PAE, we like to think of ourselves as a little bit different from most engineering firms. Here’s why:
• We care intensely about envisioning and creating sustainable building systems and work every day to break new ground in the world of sustainable design.
• We have a close affinity to the visions of the architects we work with; we understand the need for beauty as well as practicality.
• We value creativity as much as we value precision.
• We understand that the visionary people we want to hire need to experience the world in order to change the world, and we work hard to support that need.We are a firm that values and respects our staff, fosters an environment that encourages learning and growth, and is committed to the success of our clients.

Due to client or project requirements, PAE may be required to confirm that employees are fully vaccinated with an FDA approved COVID-19 vaccine or have an approved medical or religious exemption from receiving the COVID-19 vaccine.

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at PAE will be based on merit, qualifications and abilities. PAE does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender (sex), national origin, age, veteran status, sexual orientation, gender identity, physical characteristics historically associated with race, disability, genetic information or any other characteristic protected by applicable law.

PAE will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship. This policy governs all aspects of employment including: selection, job assignment, compensation, discipline, termination and access to benefits and training.
Apply Here
For Remote Data Scientist- Seattle, Washington roles, visit Remote Data Scientist- Seattle, Washington Roles

********

Weather Data Scientist at Climate

Location: Seattle

Position Overview

Climate, LLC is revolutionizing the agriculture industry with tools that help the world’s farmers sustainably increase their productivity with digital tools and data analytics. We have a unique opportunity for a Weather Data Scientist to join the Weather Science Team developing innovative solutions for integrating weather information into agronomic machine learning models. Our team is focused on data-centric model development, increasing the performance of predictive agronomic models by synergizing our expertise in environmental sciences, statistics, machine learning, agronomy, and software development. In this role, you will collaborate with other teams to combine atmospheric, environmental, and management data using novel modeling frameworks and approaches to optimize the performance of agronomic models.

The ideal candidate is an environmental scientist experienced with feature engineering and incorporating geospatial timeseries into machine learning models. The candidate possesses a strong intuition of the ways in which weather processes impact agriculture and the ways in which weather datasets can represent these processes. They also have the creativity and drive to develop novel solutions to extract the most value from a diverse range of datasets of varying scales, formats, and quality.

What You Will Do
• Engage with diverse research groups to understand their models and products to develop data-centric solutions.
• Design and generate derived weather features focused on use by agronomic models or in decision making by farmers.
• Collaborate with scientists across the organization to realize the full value of weather information.
• Exploratory data analysis, data cleaning & processing.
• Directed and/or independent research to test scientific hypotheses.
• Write beautiful, robust, well-documented and well-tested research and library code.

Basic Qualifications
• MS in atmospheric science or a related discipline, paired with experience in data science or computationally intensive research.
• 2+ year of hands-on experience working with diverse geospatial timeseries datasets.
• 2+ year experience with deep learning frameworks such as TensorFlow or Pytorch, etc and deep learning architectures (RNN, CNN, etc).
• Skilled in Python (preferred), R, or Matlab, with demonstrated ability to write well-structured, well-tested, maintainable, performant, and well-documented code.

Preferred Qualifications
• Ph.D. in atmospheric science or a closely related discipline
• A high level of expertise with weather and other environmental data
• Insight into weather impacts on agriculture
• Experience with PySpark or SparklyR/SparkR and handling large datasets
• Ability and desire to work in highly collaborative multi-disciplinary environments.
• Strong drive to learn new topics and skills.
• Experience translating and presenting complex technical concepts to collaborators, decision makers, and non-technical audiences.

What We Offer

Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers.

We provide competitive salaries and some of the best perks in the industry, including:
• Superb medical, dental, vision, life, disability benefits, and a 401k matching program
• We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development

We also hinge our cultural DNA on these five values:
• Inspire one another
• Innovate in all we do
• Leave a mark on the world
• Find the possible in the impossible
• Be direct and transparent

Learn More About Our Team And Our Mission

Climate, LLC – The Technology Behind Making A Difference https://youtu.be/_6DOwEjRI2o or visit https://climate.com/careers

Climate aims to create a welcoming and collaborative environment for our employees in which a diverse set of perspectives and voices are represented and celebrated.

As part of our dedication to the diversity of our workforce, Climate LLC is committed to Equal Employment Opportunity and does not discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@climate.com.
Apply Here
For Remote Weather Data Scientist roles, visit Remote Weather Data Scientist Roles

********

2023 Data Science Internship at Amazon

Location: Seattle

Job Summary

DESCRIPTION

Do you have a passion for data? Are you matriculating in a PhD or Master’s program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.

Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.

For more information on the Amazon Science community please visit https://www.amazon.science

Basic Qualifications
• Enrolled in a Master’s degree or equivalent in math, statistics, computer science, or related science field.
• Experience with regression modeling, prediction, forecasting, and time series analysis.
• Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.).
• Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.

Preferred Qualifications
• Enrolled in a Ph.D. degree or equivalent in math, statistics, computer science, or related science field.
• Experience in machine-learning methodologies (e.g., supervised and unsupervised learning, deep learning, etc.)
• Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive).
• Experience in communicating technically, at a level appropriate for the audience.

Amazon has positions available for Data Science Interns in multiple locations across the United States.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit US Disability Accommodations

The base pay for this position in Colorado is $97,036. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. Our range of benefits may include health care, employee discounts, 401(k) savings plans, paid time off, and more. Applicants should apply via Amazon’s internal or external careers site.

The base pay for this position in Jersey City is $106,802. Our range of benefits may include health care, employee discounts, 401(k) savings plans, paid time off, and more. This information is provided per the Pay Transparency Regulation of Jersey City Municipal Code. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.

The base pay for this position in New York City is $106,802. Our range of benefits may include health care, employee discounts, 401(k) savings plans, paid time off, and more. This information is provided per the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.

Pursuant to the Los Angeles and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Company – Amazon.com Services LLC

Job ID: A2171908
Apply Here
For Remote 2023 Data Science Internship roles, visit Remote 2023 Data Science Internship Roles

********

The Tech Career Guru
We will be happy to hear your thoughts

Leave a reply

Tech Jobs Here
Logo