Remote Data Scientist openings in New York, United States on September 19, 2022

Data Scientist II at Microsoft

Location: New York

Are you someone with a passion for data, analytics, insights, and technology? Do you want to work on one of the largest data science teams at Microsoft, lighting up actionable insights that drive key business decisions for the entire M365 organization?

The Insights, Data Engineering & Analytics team (IDEAs), is a central data science team for M365 engineering and marketing. We are looking for a passionate, creative, analytical, and experienced Data Scientist who loves big data, is curious to explore, and who wants to impact business decisions.

#IDEAS

#DPGJOBS

Responsibilities

Our team plays a key role in providing data and analytics for M365 and owns the end to end decision sciences charter that includes
• Bringing relevant data into a central system to create the single version of truth
• Opportunity analysis and hypothesis generation for stages throughout the end-to-end customer lifecycle
• Building advanced analytical models (behavior segmentation, churn prediction, purchase propensity, recommendation engine, etc.) that spans engineering, marketing, and finance

To be successful in this role you must be driven, self-directed, entrepreneurial, and focused on delivering the right results. You also need to have strong skills in written and oral communication, a can-do attitude, and the willingness to tackle hard problems in innovative ways. You must also thrive in a team environment that values cross team collaboration and building on the success of others.

Responsibilities
• Design, prototype, implement and test descriptive, predictive analytics, forecasting, and causal inference models
• Work with engineers to architect and develop operational models that run at scale
• Partner with teams to identify and explore opportunities for the application of machine learning and predictive analysis
• Communicate with technical and non-technical audiences, and contribute modeling expertise as a team player

Qualifications

Required Qualifications:
• Master’s degree or higher in Statistics/Math/Computer Science or related field
• 3+ years of industry work experience in SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment

Preferred Qualifications
• Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems preferred
• Experience with programming skills, e.g. Java, C# is a plus
• Familiarity with deep learning toolkits, e.g. CNTK, TensorFlow, etc. is a plus
• Exceptional written and verbal communication to educate and work with cross functional teams
• Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

For the state of Colorado, the salary range for this role is from $112,300-$168,500. At Microsoft certain roles are eligible for additional rewards, including annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of your employment with Microsoft and the country where you work. US-based employees gain access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and fitness benefits, among others.
Apply Here
For Remote Data Scientist II roles, visit Remote Data Scientist II Roles

********

Data Scientist at the NBA

Location: New York

the NBA is now hiring Data Scientist in New York, NY 10022. View job listing details and apply now.

At the NBA, we’re passionate about growing and celebrating the game of basketball. Through the intensity of the game and the amazing athletic skill of our players, we deliver excitement to hundreds of millions of fans around the world.

As a global sports and media business, the NBA is so much more. While Basketball Operations runs the league’s on-court activities, other departments manage relationships with television and digital media partners, develop marketing partnerships with some of the world’s most recognizable companies, oversee the licensing of NBA merchandise, and handle a wide range of responsibilities that drive the NBA’s success.

The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and their families, our visitors and the broader community from COVID-19, and in consideration of recommendations from health authorities and the NBA’s own advisors, any individual working onsite in our New York and New Jersey offices must be fully vaccinated against COVID-19, including having received a booster when eligible. The NBA will discuss accommodations for individuals who cannot be vaccinated due to a medical reason or sincerely held religious belief, practice, or observance

Position Summary:

The Data Scientist role will be a technical expert within the Global Strategy & Innovation (GSI) group in all matters surrounding statistical analysis, data manipulation and interpretation, and process automation. You will be a thought leader, tasked with the responsibility to leverage the NBA’s various internal data sources to create new and innovative analytical products and outputs to inform league executives about the state of team businesses. The ideal candidate will uncover insights through predictive analyses and data visualization, drive better decision making by using various statistical modeling techniques, and promote efficiencies in reporting to various stakeholder groups within the league office.

Major Responsibilities:
• Help lead GSI’s efforts to develop and maintain analytical products for communicating the state of team businesses to key stakeholders at the league office
• Work with Team Marketing & Business Operations (TMBO) executives to further proprietary analytical research for presentation to teams at various league workshops
• Enhance the current report generation processes within GSI through the lens of potential automation and conversion to different, more useful development environments (e.g., R, Python, Tableau, etc.)
• Develop an understanding of current needs in data collection at the league office and create solutions to gather the required information
• Perform statistical analysis and create and maintain descriptive and predictive models as needed on a project basis

Required Skills/Knowledge:
• Demonstrated skills, knowledge and experience in converting data into insights
• Passion for developing methods to streamline processes and data flow through automation
• Experience in understanding existing data structures, including collection and standardization processes, and ability to help shape future processes going forward with an eye toward business needs
• Ability to consult with business analysts and operators to understand their data needs, develop systems to access the data and convert the outputs into various formats for analysis
• Comfort with ambiguity in data and experience in working with partners to optimize third-party data streams
• Detail-oriented, extremely organized with ability to manage projects from inception through execution
• Strong communication skills, both verbal and written, particularly for presentations

Demonstrated Facility with Required Software:
• Expertise in leveraging R and Python to perform statistical analysis, build models and automate processes
• Expertise in using SQL to tap expansive databases
• Expertise in creating informative data visualizations through Tableau
• Familiarity with other coding languages, statistical analysis tools and business intelligence platforms preferred
• Familiarity with Microsoft Office software required, strong skills in Excel and VBA preferred

Technical Requirements:
• Expertise in developing, executing and implementing various classification and regression models and familiarity with more advanced machine learning techniques
• Expertise in parsing existing code and developing ways to increase its efficiency
• Familiarity with accessing and manipulating data via APIs
• Experience in an advanced analytical role, leveraging data to develop loyal fans or customers
• 2-3 years of work experience preferred

Education:

Bachelor’s Degree in computer/information science, statistics, engineering or another quantitative field required

We Consider Applicants For All Positions On The Basis Of Merit, Qualifications And Business Needs, And Without Regard To Race, Color, National Origin, Religion, Sex, Gender Identity, Age, Disability, Alienage Or Citizenship Status, Ancestry, Marital Status, Creed, Genetic Predisposition Or Carrier Status, Sexual Orientation, Veteran Status, Familial Status, Status As A Victim Of Domestic Violence Or Any Other Status Or Characteristic Protected By Applicable Federal, State, Or Local Law.
Apply Here
For Remote Data Scientist roles, visit Remote Data Scientist Roles

********

Data Scientist at Randstad USA

Location: New York

job summary:
Join our innovative and collaborative Digital Transformation and Data team. As a Data Scientist, you’ll influence and help the client produce value with data within our Corporate Operations Group and beyond. You will apply your broad data expertise though a mix coaching others, providing strategic advice, and performing hands-on analysis.

location: NEW YORK, New York
job type: Permanent
work hours: 8am to 4pm
education: Bachelors

responsibilities:
Join our innovative and collaborative Digital Transformation and Data team. As a Data Scientist, you’ll influence and help the client produce value with data within our Corporate Operations Group and beyond. You will apply your broad data expertise though a mix coaching others, providing strategic advice, and performing hands-on analysis.

You will be responsible for:

· Partnering with business leaders and coaching nascent data teams to uplift data capability

· Identifying, determining feasibility, and shaping data use cases

· Determining appropriate analytical, statistical or machine learning approaches to create value

· Performing analysis and creating prototypes

· Communicating and influencing outcomes based on data

· Providing requirements to, and partnering with, technology/data engineering teams to productions data prototypes

To be successful in this role you will have the following skills and experience:

· Interpreting, telling stories and creating value with data

· Curious and business outcome focused with an ability to quickly understand a business area, break down a complex problem and work out how to solve it

· strong collaboration skills having worked with business stakeholders at different levels of seniority and technical proficiency

· Comfortable working across a wide range of data sets and systems

· Broad understanding of, but not necessarily expertise in, data strategy, data visualization, data architecture and what is involved in bringing data products into production

· Commercial exposure in a corporate, consultancy or start-up environment

· Deep practical expertise applying statistical knowledge and machine learning to solve business problems through manipulating and analyzing data with SQL and Python or R

· Proven track record of overseeing multiple data science projects at all stages, from idea generation to objectives formulation to implementation and deliverables

· Excellent project management skills, with a proven track record of on-time and within-budget delivery. Exceptional ability to manage priorities across multiple stakeholders.

qualifications:
• Experience level: Experienced
• Minimum 5 years of experience
• Education: Bachelors (required)

skills:
• Data Analysis
• Data Warehouse
• Python
• SQL

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad’s client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.
Apply Here
For Remote Data Scientist roles, visit Remote Data Scientist Roles

********

Senior Data Scientist (P1984) at 84.51˚

Location: New York

84.51° Overview

84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

__________________________________________________________

Senior Data Scientist, MLOps

Summary

As a Senior Data Scientist, you are joining a community of analysts, data scientists, and software engineers who work collaboratively to drive business value via our rich first-party data. Data Scientists focus on using scientific methods to develop sciences to solve current business problems. These roles pair backgrounds in mathematics and statistics with strong business acumen and experience working with large datasets and relational databases.

The MLOps team is a cross functional team focused on developing and advancing our end-to-end MLOps process for data science. The team is seeking a Senior Data Scientist to help in the development, support, and education of our data science MLOps process. We are looking for a team member who is driven to understand and excel at using technology and programming for data science MLOps practices. We expect this team member to develop into a Python and be hands on. We expect this team member to be/become a skilled practitioner of our tech stack for data science (e.g., Databricks, Spark, Azure, Docker, Github Actions, etc.). This team member must be a lifelong learner who enjoys seeking out new technologies and methodologies to explore as possible future additions to our solutions.

Responsibilities
• Providing technical data science support including writing hands on code and package development is support of MLOps work
• Support adoption of MLOPs through direct hands-on methodology development, support, and trainings
• Partnering with engineering, architecture and Data Science teams to setup long term machine learning workflows and end to end MLOps framework
• Assist with internal data science education efforts, through occasional training sessions and the creation of documentation.
• Serve as early adopter of new technology, helping to build out best practices and providing feedback on the tooling to decision makers.
• Partner with a wide range of technical personas (i.e., engineering, architecture, data scientists…) to identify and implement best practices around software engineering and analytic procedures.
• Provide formal and informal guidance to data scientists and engineers within 84.51˚. Be responsive on Teams, Stack Overflow, and GitHub, and partner with stakeholders who need assistance with development practices within their teams. Help teams with technology migration efforts when engaged.
• Apply statistical and analytical techniques to large datasets to uncover insights that shape better business decisions.
• Help scope and work on projects from beginning to end to ensure that projects are delivered on time, within budget and to brief specification.
• Delivering analytical plans in support of client or stakeholder roadmap, ensuring that best practices and innovative ideas are adopted.
• Support the development of best practice and knowledge management, and champion the capture and sharing of knowledge across the data science community.

Skills
• Strong open-source programming (Python, R, SQL), cloud platform, and statistical package skills. Knowledge of AI/ML tools and applications to solve business problems.
• Knowledge of MLOps tools and applications
• Ability to create computationally efficient solutions, applying techniques from statistics, machine learning, and relevant domain
• Excellent communication skills, particularly on technical topics.
• Data visualization skills and ability to present technical solutions to non-technical audience.
• Strong analytical, creative problem-solving and decision-making skills
• Natural curiosity that welcomes and embraces change and willingness to try new things and to fail.
• High level of independence; ability to make time-sensitive decisions rapidly and solve urgent problems without escalation.
• Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary

Qualifications & Experience
• Bachelor’s degree in mathematics, statistics, computer science, economics, or similar discipline
• 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients or stakeholders
• 2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.
• 2+ years of experience in tech consulting, retail or related professional services
• Hands-on experience using Python, R or other similar statistical software to develop analytical solutions.
• Experience querying data from relational databases using SQL.
• Experience with data wrangling, data cleaning and prep, dimensionality reduction.
• Experience with Big Data concepts, tools, and architecture
• Experience working in cloud environments (preferably Azure) to deliver data science solutions or capabilities
Apply Here
For Remote Senior Data Scientist (P1984) roles, visit Remote Senior Data Scientist (P1984) Roles

********

Data Scientist at Autozone

Location: New York

We are looking to hire a remarkable Data Scientist to join our high calibre team at Auto Zone in Memphis, TN.
Growing your career as a Full Time Data Scientist is a fantastic opportunity to develop productive skills.
If you are strong in people management, planning and have the right drive for the job, then apply for the position of Data Scientist at Auto Zone today

Data Scientist

Job Description

At AutoZone, we rely on insightful data to power our systems and solutions. We’re seeking an experienced data scientist to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential.

Objectives of this Role

·Collaborate with senior data scientists and management to develop an understanding of needs

·Research and devise innovative statistical models for data analysis

·Communicate findings to all stakeholders

·Enable smarter business processes—and implement analytics for meaningful insights

·Keep current with technical and industry developments

Daily and Monthly Responsibilities

·Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

·Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies

·Assist in translating complex datasets into strategic insights for the business and to communicate to non-technical audiences, visualize results, and create understandings and solution buy-in

·Assess the effectiveness and accuracy of new data sources and data gathering techniques

·Develop custom data models and algorithms to apply to data sets

·Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes

·Develop company A/B testing framework and test model quality

·Coordinate with different functional teams to implement models and monitor outcomes

·Develop processes and tools to monitor and analyze model performance and data accuracy

Skills and Qualifications

·To be successful in this position, a solid statistical skill set is required like multiple linear regression, multivariate adaptive regression spline, cluster analysis, time series modeling, etc. A strong data skill set is also needed– like SQL programming and SAS data step programming to get the data prepared for analysis and modeling

·Bachelor’s degree in Statistics, applied Mathematics, Economics or related discipline; Master’s degree preferred

·2 to 4 years’ experience in data science

·Advanced pattern recognition and predictive modeling experience

·Experience with Excel, PowerPoint, SQL, SAS, and experience with other programming languages (i.e., R, Python,)

·Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects

Company Benefits:
● Learning opportunities
● Company offers career progression opportunities
● Competitive salary
Apply Here
For Remote Data Scientist roles, visit Remote Data Scientist Roles

********

Data Scientist II, Customer Experience and Business Trends at Amazon.com Services LLC

Location: New York

• Bachelor’s Degree
• 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 2 years working as a Data Scientist

Job summary
(Candidate can also be based out of Arlington, VA).
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings – for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).
We are looking for Data Scientists to join our science team, produce frontier research to influence decision-making and improve customer experience by applying Machine Learning, statistics, econometrics. In this role you have the opportunity to think big in impacting multiple Amazon businesses (e.g., Advertising, Consumer, Seller) and technologies, while starting with focused studies in the consumer research spaces. You will collaborate with the science community (Data Scientists, Economists, Research Scientists, Applied Scientists) across our stakeholder teams. You will be responsible for applying frontier ML and statistical models to deliver frontier research on consumer experience topics including omni-channel, eCommerce, and digital advertising.
The ideal candidate has demonstrated exceptional data science and research skills. You will be working on petabyte-size datasets, cutting edge computing tech (AWS/distributed computing), and influence business decisions and improve customer experiences at global scale. You are excited to take on new, ambiguous programs that will be industry defining.
Key job responsibilities
• Contribute as Data Scientist in a Science team. Continuously enhance our team’s science and data skills through learning, experiments, and execution and drive innovations.
• Work with Product Managers, Data Scientists, BI Engineers, and Data Engineers, to apply data science thinking and analysis, and connect with Amazon’s science community.
• Inject science thinking to data collection and analysis, service development and product vision.
• Design data and science experiments, collect external data, correlate with a wide range of internal data sources, develop models to analyze data to generate insights, and communicate research plans and research findings to teammates and stakeholders.

· Master’s degree in Statistics, Applied Math, Economics, Computer Science, or a related quantitative field with at least 2 years of working experience as a Data Scientist.
· Experience applying various statistics, econometrics, and machine learning techniques, and understanding their interpretation and performance.
· Proficient with data analysis and modeling software such as Spark, R, Scala, etc.
· Proficient with using scripting language such as Python.
· Experienced in handling large data sets using SQL and databases in a business environment.
· Excellent verbal and written communication.
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.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
Apply Here
For Remote Data Scientist II, Customer Experience and Business Trends roles, visit Remote Data Scientist II, Customer Experience and Business Trends Roles

********

Senior Data Scientist, Ads Analytics at Reddit, Inc.

Location: New York

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, thereâs a community for everybody on Reddit. For more information, visit redditinc.com.

Advertising is Redditâs primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

We are looking for a Data Scientist to work with our Ads Formats product team on launching new Ads Products in our communities. You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to drive ad performance.

Reddit is continuing to grow our teams with the best talent. We’re completely remote friendly and will continue to be after the pandemic.

If helping Redditâs advertising business reach the next level excites you, then youâve found the right place. Weâre a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.

How Youâll Have Impact:
• Act as the DS lead on two new ad formats, analyzing ad performance & engagement to drive tactical & strategic decisions
• Collaborate with product teams on all aspects of development – everything from product ideation to experiment analysis to KPI reporting
• Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.
• Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Who You Might Be:
• 2+ years of experience in data analytics or related quantitative role
• Influence and guide product strategy with data
• Able to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
• Strong ability to communicate and discuss complex topics with technical & non-technical audiences
• Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
• Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
• Experience in online advertising

#LI-Remote #LI-NH1

Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.
Apply Here
For Remote Senior Data Scientist, Ads Analytics roles, visit Remote Senior Data Scientist, Ads Analytics Roles

********

Data Scientist at U.S. Army Reserve Command

Location: New York

We are looking to hire a confident Data Scientist (Integrated Prevention) to join our productive team at U.S. Army Reserve Command in Fort Bragg, NC.
Growing your career as a Full Time Data Scientist (Integrated Prevention) is a terrific opportunity to develop useful skills.

If you are strong in critical thinking, creativity and have the right personality for the job, then apply for the position of Data Scientist (Integrated Prevention) at U.S.
Army Reserve Command today

Summary This is a Direct Hire Authority (DHA) solicitation utilizing the DHA for Certain Personnel of the DoD Workforce to recruit and appoint qualified candidates to positions in the competitive service

About the Position:

This position is with the United States Army Reserve Command, Army Reserve G-1, Services and Support Division, located at Fort Bragg, North Carolina.
Responsibilities Serve as Data Analyst for the U.S. Army Reserve (USAR) Integrated Prevention Program Initiatives. Lead development of system and process for routing data collection and analysis of prevention activities. Conduct routing and ad hoc statistical analysis of enterprise-wide data from primary prevention initiatives.

Develop clear and well-structured analytical plans to help shape the organization’s data infrastructure, inclusive of data warehousing, reporting and analytics platforms.
Participate with scientists and program managers both in various aspects of the study or survey design process.

Consult and collaborate with professionals in the collection, linkage, processing, coding, classification, and analysis of public health surveillance, research, and administrative data related to primary prevention program initiatives.
Summarize information from statistical analysis for wide dissemination and to facilitate information sharing. Extract and assemble information, conduct analysis and develop reports or presentations using advanced analytical techniques.

Requirements Conditions of Employment Qualifications Who May Apply:
US Citizens In order to qualify, you must meet the education and experience requirements described below.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social).
You will receive credit for all qualifying experience, including volunteer experience.

Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application.
Additional information about transcripts is in this document.

Basic Requirements:
A

Degree:
Mathematics, statistics, computer science, data science or field directly related to the position.

The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
or B.

Combination of education and experience:

Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:

Specialized Experience:

One year of specialized experience which includes Working with large complex data sets and performing extensive analysis of volumes of analysis of volumes of data sufficient to design and deliver frameworks to facilitate data development lifecycle and design; applying broad areas of research, statistics, mathematics, modeling, data science, machine learning, and optimization, sufficient to serve as a consultant and technical advisor; analyzing and interpreting national health policy and legislation related to Public Health; and translating analyses into recommendations, and provide written report and recommend primary prevention activities.

This definition of specialized experience is typical of work performed at the next lower grade/level position in the federal service (GS-11).

Education FOREIGN EDUCATION:

If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S.
education program; or full credit has been given for the courses at a U.S. accredited college or university.

For further information, visit:

Additional Information Male applicants born after December 31, 1959, must complete a Pre-Employment Certification Statement for Selective Service Registration.
You will be required to provide proof of U.S. Citizenship. Two year trial/probationary period may be required. Direct Deposit of Pay is required. Selection is subject to restrictions resulting from Department of Defense referral system for displaced employees.

If you have retired from federal service and you are interested in employment as a reemployed annuitant, see the information in the Reemployed Annuitant information sheet.
This is a Career Program (CP) 5- Medical position. Multiple positions may be filled from this announcement. Salary includes applicable locality pay. Interagency Career Transition Assistance Program (ICTAP).

If you are a Federal employee in the competitive service and your agency has notified you in writing that you are a displaced employee eligible for ICTAP consideration, you may receive selection priority for this position.

To receive selection priority, you must:
(1) meet ICTAP eligibility criteria (2) be rated well-qualified for the position and; (3) submit the appropriate documentation to support your ICTAP eligibility. To be considered well-qualified and receive selection priority applicants must satisfy all qualification requirements for the position and receive a score of 90 or above. Additional information about the program is on OPM’s Career Transition Resources website. When you perform a Civilian Permanent Change of Station (PCS) with the government, the Internal Revenue Service (IRS) considers the majority of your entitlements to be taxable. Visit for more information. If you are unable to apply online or need to fax a document you do not have in electronic form, view the following link for information regarding an Alternate Application. Permanent Change of Station (PCS) allowances may be authorized, subject to the provisions of the Joint Travel Regulations and an agency determination that a PCS move is in the Government Interest. Information may be requested regarding the vaccination status of selectees for the purposes of implementing workplace safety protocols. For more information, visit

Company Benefits:
• Learning opportunities
• Advancement opportunities
• Advantageous package
Apply Here
For Remote Data Scientist roles, visit Remote Data Scientist Roles

********

Data Scientist/Machine Learning Engineer- New York, NY at Bank of America

Location: New York

Job Description:

Responsible for designing and developing complex requirements to accomplish business goals. Ensures that software is developed to meet functional, non-functional, and compliance requirements. Ensures solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Possess strong proficiency in development and testing practices common to the industry, and have extensive experience of using design and architectural patterns. At this level, specializations start to form in either Architecture, Test Engineering or DevOp. Contributes to story refinement/defining requirements. Participates and guides team in estimating work necessary to realize a story/requirement through the delivery lifecycle. Performs spike/proof of concept as necessary to mitigate risk or implement new ideas. Codes solutions and unit tests to deliver a requirement/story per the defined acceptance criteria and compliance requirements. Utilizes multiple architectural components (across data, application, business) in design and development of client requirements. Assists team with resolving technical complexities involved in realizing story work. Designs/develops/modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained. Designs/develops/maintains automated test suites (integration, regression, performance). Sets up and develops a continuous integration/continuous delivery pipeline. Automates manual release activities. Mentors other Software Engineers and coaches team on CI-CD practices and automating tool stack. Individual contributor.

Global Banking Technology – (GBT):
• Believes diversity makes us stronger so we can reflect, connect and meet the diverse needs of our clients and employees around the world
• Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully
• Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals
• Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience
• Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs
• Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing and giving them what they need to remain vibrant and vital

Responsibilities:
• Design and develop scalable ML/AI solutions to solve diverse business challenges by deriving features from rich data sources, training, evaluating and deploying models to production using cutting edge technologies
• Gather and analyze data to perform statistical analysis, identify key factors and build comprehensive visualizations to report findings
• Utilize statistical methods to process, clean and validate data for uniformity and accuracy
• Create and maintain end-to-end data pipelines and APIs according to business requirements
• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

Required Skills:
• 5+ years in a data science role with proven record of implementing end-to-end ML/AI solutions into production
• 5+ years of experience using statistical computer languages, such as R or Python (preferred)
• 3+ years of experience working with large data sets (> 1TB) and using big data solutions such as Hadoop, Hive, Spark, Storm, MongoDB etc.
• 1+ year of experience with deep learning (e.g., CNN, RNN, LSTM) and NLP frameworks
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, etc. and their real-world advantages/drawbacks
• Rigorous understanding of statistics and ability to discern appropriate statistical techniques to problem-solve
• Proficiency with writing SQL queries

Desired Skills:
• Master’s degree or PhD in computer science, applied mathematics, or related technical/scientific field
• Experience with data visualization tools, such as Tableau
• Prior work experience in the financial industry
Apply Here
For Remote Data Scientist/Machine Learning Engineer- New York, NY roles, visit Remote Data Scientist/Machine Learning Engineer- New York, NY Roles

********

Data Scientist/ Data Analyst – Remote Project at Cooper Sachs

Location: New York

Our client is a large domestic bank seeking to hire multiple Data professionals for a large engagement running through to March 2023.

Experience required:
• SQL expertise (including complex joins, grouping, aggregation, nested subqueries, and cursors)
• Strong critical thinking skills, with proven ability to 1) think creatively about how to solve problems with data, and 2) troubleshoot data quality issues
• Bachelors degree in quantitative field (e.g., Statistics, Applied Mathematics, Engineering)
• Minimum of 3 years of relevant work experience; 5 years of experience preferred
Apply Here
For Remote Data Scientist/ Data Analyst – Remote Project roles, visit Remote Data Scientist/ Data Analyst – Remote Project Roles

********

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

Leave a reply

Tech Jobs Here
Logo