Fulltime Data Scientist openings in Portland on September 06, 2022

Product Data Scientist (Senior and Staff Levels) at Mozilla

Location: Portland

At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.

As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques. You have strong interest in honing your technical skills further on real-world data. You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.

The Role

As a Data Scientist At Mozilla
• You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
• You build key data sets to empower operational and exploratory analysis.
• You advocate for standard methodologies across the organization.
• You own the definition, evaluation and reporting of key product metrics.
• You communicate narratives with data to many audiences, ranging from product managers to technical leads.
• You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.
Your Professional Profile
• You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
• Ideally, you have prior experience with Internet data or any large, high-dimensional data set. Experience comes in all forms and personal projects count. We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
• You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R. You also desire to gain further technical experience on the job.
• You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
• You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
• You consider contributing to a collaborative and open team culture an important responsibility.
About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@ to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: D

Req ID: R1418
Apply Here
For Remote Product Data Scientist (Senior and Staff Levels) roles, visit Remote Product Data Scientist (Senior and Staff Levels) Roles

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Senior Data Scientist, Product Analytics (Belfast; Remote UK or US) at Slice

Location: Portland

The Product Analytics team is a key part of product development at Slice.

As we scale and grow our organization and capabilities, we are looking for a very strategic, result-driven Senior Data Scientist who can provide data-driven insights to our leadership and executive team.

You will work on data science and analytics projects to inform and influence the company’s strategic direction by performing original analyses and consolidating existing analyses into a cohesive story.

What You’ll Do
• Work closely with product managers, software engineers, and designers to build and execute a data-driven product roadmap
• Define metrics and success criteria for new and existing company initiatives
• Work cross functionally with the Finance, and Go To Market teams to drive roadmaps and inform key strategic decisions
• Define metrics and utilize dashboards to measure the health of our initiatives
• Identify and clearly communicate actionable insights for cross functional stakeholders
• Advocate for data-informed decision making and continue to build an insights-driven culture at Slice
• Collaborate with Data Engineering to design and develop reliable data pipelines that help answer business questions
Essential Criteria
• MS/MSc in a technical or quantitative subject (Computer Science, Engineering, Statistics, etc.)
• 3+ years of total experience in a highly quantitative role
• 2+ years of experience as a data scientist
• Working experience in statistics, experiment design and evaluation
• Experience in the modern data analysis stack, including Python and SQL (R knowledge optional)
• Impeccable communication skills and ability to share complex, uncertain results to an executive audience
About Slice

Slice powers independent pizzerias with the specialized technology, data insights, and shared services they need to serve today’s digital-minded customers. This united network of pizzerias enables these small businesses to thrive against major corporate chains and form the nation’s largest marketplace for authentic pizza. Slice makes it easy for customers to order from their go-to shops and discover their next favorite.

Serial tech entrepreneur Ilir Sela started Slice to solve the digital challenges his family’s New York City pizzerias faced. Today, the Slice team has grown to over 900+ across 5 offices globally. If you’re ambitious, interested in growing your career, and hungry to join one of the fastest growing companies in tech, we may have a role for you. Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain’s, BuiltinNYC

Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.
Apply Here
For Remote Senior Data Scientist, Product Analytics (Belfast; Remote UK or US) roles, visit Remote Senior Data Scientist, Product Analytics (Belfast; Remote UK or US) Roles

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Practice Manager – Data Science & Engineering (Remote role in USA) at Rackspace Technology

Location: Portland

As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.

If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally.

Overview

As a Big Data Architect, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?

About The Role
• Data scientist or engineer experienced with leadership experience and familiarity with machine learning, data analytics, big data processing, data lakes & warehouses, and related technologies and architectures.
• Expected to lead and manage teams of data scientists and data engineers on various data and machine learning projects.
• Required experience developing solutions on a major cloud platform, as well as demonstrated people management experience.
• Expected skills to include cloud architecture design and implementation, as well as experience with machine learning tools and libraries. Expected to have demonstrated technical leadership in the development of multiple successful production solutions.
• Expected to have demonstrated people management skills with direct reports.
• Experience with neural networks, computer vision, language processing, big data processing, or other machine learning sub-domains is desired.
• Familiarity with data engineering languages and platforms, such as SQL, Spark or Hadoop, is desired. Familiarity with managed machine learning services on a major cloud platform is also desired.
• Candidate will be expected to lead projects to solve a variety of problems by developing cloud-based solutions for customers.
• Candidate should be able to work independently, demonstrate technical leadership and people management experience, and have excellent communication skills.
About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies – across applications, data and security – to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
Apply Here
For Remote Practice Manager – Data Science & Engineering (Remote role in USA) roles, visit Remote Practice Manager – Data Science & Engineering (Remote role in USA) Roles

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Data Scientist at Schrdinger

Location: Portland

Were seeking a Data Scientist to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods.

As a member of our Drug Discovery Data team, youll join a group of around a hundred designers, modelers, computational/medicinal chemists, crystallographers, biochemists, and biologists.

Supported by more than a hundred software developers and engineers, youll play a key role in accelerating the discovery and development of new medicines for patients with unmet needs.
Check out our pipeline here Who will love this job:
An exceptionally organized data scientist who understands javascript frameworks like and/or A savvy time manager with a working knowledge of application containers like Docker An excellent technical communicator whos familiar with RDBMs and SQL A software engineer who has experience with continuous integration/deployment with Git What youll do: Participate in the improvement of internal software and processes, which includes early access usage and bug reporting, as well as small-scale development of research and data curation web apps and scripts Process and maintain drug discovery group database content, which includes managing confidential data and information according to guidelines, overseeing data flow, curation, and quality, and collaborating with internal or external advisors What you should have: A Bachelor of Science degree with at least two years of data engineering experience OR a Masters degree with data engineering experience from a thesis Experience working with distributed version control (e.g., GitHub, GitLab)

Deep understanding of Python web-frameworks like Django and/or Flask Pay and perks:
Schrdinger understands its people that make a company great.

Because of this, were prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program.

We have catered meals in the office every day, a company culture that is relaxed but engaged, and over a month of paid vacation time.
Our Administrative and Human Resources departments also plan a myriad of fun company-wide events.

We’ve been working remotely from across the world over the past few months because the health and safety of our employees is paramount.

Nonetheless, we have kept Schrdinger’s outstanding culture going through a series of online fitness classes, trivia nights, happy hours, and so much more.

Sound exciting? Apply today and join us As an equal opportunity employer, Schrdinger hires outstanding individuals into every position in the company.

People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company’s mission.

We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic.
To us, “diversity” isn’t just a buzzword, but an important element of our core principles and key business practices.

We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints.
For us, greater diversity doesn’t mean better headlines or public images – it means increased adaptability and profitability.
Apply Here
For Remote Data Scientist roles, visit Remote Data Scientist Roles

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Product Data Scientist at Mozilla

Location: Portland

At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.

As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques. You have strong interest in honing your technical skills further on real-world data. You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.

The Role

As a Data Scientist At Mozilla
• You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
• You build key data sets to empower operational and exploratory analysis.
• You advocate for standard methodologies across the organization.
• You own the definition, evaluation and reporting of key product metrics.
• You communicate narratives with data to many audiences, ranging from product managers to technical leads.
• You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.

Your Professional Profile
• You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
• Ideally, you have prior experience with Internet data or any large, high-dimensional data set. Experience comes in all forms and personal projects count. We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
• You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R. You also desire to gain further technical experience on the job.
• You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
• You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
• You consider contributing to a collaborative and open team culture an important responsibility.

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: D

Req ID: R1418
Apply Here
For Remote Product Data Scientist roles, visit Remote Product Data Scientist Roles

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Lead Applied Data Scientist – Deep Learning/Computer Vision at Rewire Neuro

Location: Portland

Rewire Neuro is recruiting a Lead Applied Data Scientist – Deep Learning/Computer Vision to lead ongoing development of our computer vision software for biomedical image analysis. Rewire Neuro is a Portland, OR based startup in the biotechnology sector focused on transforming microscopy research with a machine learning enabled image analysis platform used by scientists all over the world. We utilize ML to dramatically reduce human error and analysis time for critical scientific research in both the public and private sectors. With customers ranging from university research scientists to biotechnology companies studying the brain, cancer, reproductive health, and more, we are poised to be an emerging name in this sector.

This position is hybrid and includes periodic in-person meetings with the rest of the Rewire team in our downtown Portland office (1-2 days per week). Current Oregon residents or individuals willing to relocate to the state are strongly preferred. Salary range $70k-100k DOE, + benefits and stock options.

Education:
BS in math, computer science, engineering, or similar. Strong mathematics and coding (python) background is required.

Advanced degree in machine learning preferred.

Experience & Skills:
Strong background in Python

Strong understanding of machine learning theory and familiarity with deep learning and computer vision

Strong leadership and mentorship skills

Respect for and ability to work well with individuals from diverse backgrounds

Self-driven and innovative thinker, ready to adjust to the rapidly changing needs of a growing startup

Motivated and professional, effective with verbal and written communication

Curiosity and willingness to learn about the product and client needs

Excellent record-keeping and experimental planning skills

Preferred: an interest or experience in science and medicine and/or biotechnology

In this role, you will be responsible for working with the current ML team to:
Build machine learning solutions for a wide variety of clients and data

Combine creative thinking and cutting-edge technological industry knowledge to propose and implement novel solutions to solve new issues and tasks posed by clients

Develop custom data pre- and post-processing pipelines as per client (public and private sector) specifications, providing clients with meaningful data.

Validate methods through A/B testing

Stay up to date with latest innovations in the computer vision field

Mentor junior employees

Analyze datasets for errors and optimize model performance on small datasets.

Communicate with clients in an effective and professional manner.

Collaborate with all aspects of a small but rapidly growing company

Work predominantly remotely and occasionally in person with a small team, utilizing a variety of virtual office tools, such as Zoom, Slack, Clickup, Google Drive, and others.

Strong teamwork and independent work skills are required, as most of the work is done remotely. This is a full-time role with medical and retirement benefits, paid vacation, and stock options.

About the company:

Rewire Neuro is a Portland, OR based biotechnology startup, where we focus on transforming microscopy research with cutting edge image analysis software used by scientists all over the world. We utilize machine learning to expedite critical research science in both the public and private sectors, with customers ranging from university research scientists to biotechnology companies studying the brain, cancer, reproductive health, and more.

Working for us will allow you to contribute to the future of science and medicine, with the added experience and satisfaction of being involved in the earliest stages of the company’s growth. Please see for more information about our origin and mission.

At Rewire, we are committed to building a diverse team of leaders, innovators, and risk-takers. We believe this allows us to draw on a range of experiences, backgrounds, and perspectives to grow stronger, together. Rewire is a vocal supporter of race, gender, sexual-orientation, and cultural equality. To see all our current job openings, check out our careers page.

For this role, we provide medical and retirement benefits and paid vacation. Rewire is a small but friendly group that works primarily remotely with a semi-flexible schedule. We also organize occasional in-person company get-togethers with a focus on teambuilding, brainstorming, and fun!

Physical requirements:
Frequent sitting and computer use

Application Instructions:

When applying, please provide the following documents:
Resume

Cover letter: briefly address why you want to work with us and why you would be effective in this role.

Job Type: Full-time

Pay: $70,000.00 – $100,000.00 per year

Benefits:
401(k)
401(k) matching
Flexible schedule
Health insurance
Paid time off
Schedule:
Monday to Friday
Supplemental pay types:
Bonus pay

COVID-19 considerations:
Full Covid-19 vaccination required.

Ability to commute/relocate:
Portland, OR 97201: Reliably commute or planning to relocate before starting work (Preferred)

Experience:
Python: 1 year (Preferred)
Machine learning: 1 year (Preferred)
Computer vision: 1 year (Preferred)

Work Location: One location
Apply Here
For Remote Lead Applied Data Scientist – Deep Learning/Computer Vision roles, visit Remote Lead Applied Data Scientist – Deep Learning/Computer Vision Roles

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Senior Data Analytics Analyst at Assurant

Location: Portland

Overview of Position The Sr. Data Analytics Analyst will be a key Subject Matter Expert and contributor in the Internal Audit Services (IAS) continued enhancement of data analytics, data mining, and continuous auditing strategies and tactics in support of the audit charter. He letes all internal audit work in compliance with established audit methodology while meeting all organizational and professional ethical standards.

This is a remote opportunity.

What will be my duties and responsibilities in this job?

Performance of Analytics (70%)Develop and leverage subject matter expertise in the knowledge of Assurant’s data environment; ability to access and analyze complex data; use of analytical toolsand languages such as Alteryx and Python; and ability to interpret, visualize and communicate results using dashboarding tools such as Tableau and Power BI.

Provide both advisory and execution support in audits by identifying, developing, documenting, or executing audit analytics during all relevant stages of an audit.

Perform data mining and analysis to facilitate the identification and communication of outliers and trends in the business.

Perform descriptive, statistical, and text analytics to test if the business is meeting its operational, financial, and regulatory requirements and benchmarks.

Design and execute standalone Data Analytics audit projects as warranted in support of department objectives.

Assist auditors in obtaining necessary data for audits. Identify, develop and maintain continuous auditing/monitoring activities.

Provide additional support on audits or other IAS initiatives when necessary.

Business Knowledge, Technical Knowledge, and Individual Development (20%)Actively learn and apply mature and emerging technical knowledge gained through professional development opportunities, including external and internal training.

Actively seek to build and apply business knowledge to complement technical expertise in design and performance of analytical procedures

Department Development (10%)Assist in, and sometimes lead, department initiatives to review and improve department processes, tools, and methodologies related to the use of Data Analytics.

Mentor colleagues and provide training on professional standards, best practices, tools, and strategies for personal and department success.

What are the requirements needed for this position?

BS/BA degree from an accredited college or university preferably in Management Information Systems, Data Science, Statistics, Business, Management, Accounting, Finance, or related field.

Two years of collecting and analyzing complex data, evaluating information, and drawing logical conclusions.

Two years developing visualization and automated solutions using tools such as Power BI, Power Apps, Tableau, Qlik View Two years of accessing and wrangling data in environments such as SAS, SQL, Oracle, and AS400.

Two years of data cleaning and analysis using tools and programming languages, such as Alteryx, SAS, Python, etc.

What other skills/experience would be helpful to have?

Experience with financial services or insurance industry data.

Experience with advanced application of data analytics techniques and tools in a complex business environment, including the application of general statistical concepts against large volumes of data.

Experience performing data analytics in an Internal Audit or Compliance environment.

Experience applying fraud discovery techniques during design and execution of data analytics.

Experience in formal communications (written reports and oral) with all levels of staff and management, particularly the creation and maintenance of management reporting dashboards.

Experience developing or maintaining a Continuous Auditing / Continuous Monitoring platform.

Master’s degree in Data Science, Analytics, Statistics an accredited college or university.

One essional certifications in accounting or auditing (CPA, CIA, CISA, CFE, etc.).#Assurant

Proud

SD#IT22#LI-Remote Helping People Thrive in a Connected World We work with the world’s top brands to make smart devices simpler. Vehicles last longer. Homes more secure. Problems easier to solve. And we volunteer in communities all over the globe to help the world become a greener, better place. We come from a variety of countries, cultures and backgrounds. But we’re united by our enduring values of common sense, common decency, uncommon thinking and uncommon results.

So connect with us. Bring us your best work and your brightest ideas. And we’ll bring you a place where you can thrive. Learn more U.S. benefit information,
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Data Scientist at Columbia Sportswear Company

Location: Portland

Full Job Description
OUTGROWN YOUR OWN BACKYARD? COME PLAY IN OURS.

At Columbia, we’re as passionate about the outdoors as you are. And while our gear is available worldwide, we’re proud to be based in the Pacific Northwest, where natural wonders are our playground.

Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: “It’s perfect. Now make it better.” As pioneers of relentless improvement, we are constantly evolving.

We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest.

And we believe in you.

ABOUT THE POSITION

Although we’re an apparel and footwear-focused company, technology is central to everything we do. Columbia Sportswear’s Digital Technology (CDT) group enables an IT infrastructure across four global brands, a global supply chain, and 500+ geographically dispersed stores. These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.

The Data Scientist is a member of the Data & Analytics (D&A) team and will support the delivery of innovative analytical solutions to help answer the organization’s pressing challenges and opportunities. This role will focus on developing end-to-end solutions, from prototyping to production-ready complex algorithms. The candidate will utilize advanced analytics to solve complex business problems and integrate findings into business processes. You will have the opportunity to mentor others and help a growing and curious community of analytics practitioner.

HOW YOU’LL MAKE A DIFFERENCE

Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business
Collaborate with other members of the D&A team and business partners in translating business requirements that can be answered with advanced analytics
Conduct exploratory data analyses and data mining to understand underlying patterns, trends and behavior to highlight opportunities through data to significantly improve business performance across brands, regions, and channels
Audit existing analytical processes and provide guidance on implementing advanced machine learning capabilities according to industry standards.
Under minimal supervision, establish and execute plans to build, implement and maintain predictive models using available tools and programming languages. Manage full life cycle of projects
Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows.
Translate analytical findings and statistical models into measures of business impact and actionable recommendations
Drive best practices in applying and deploying Data Science at scale

YOU ARE

A lateral thinker with aptitude to synthesize and create a cohesive picture from a wide variety of information sources
Extremely organized, detail-oriented, resourceful and flexible
Able to work and collaborate with cross functional teams, including IT, and manage partner expectations
A strong communicator that can demonstrate an ability to work with all ranges of an organization to advance Columbia’s Data Science practice.
An agilest at heart and a team player who enjoys collaboration and thought partnership

YOU HAVE

Minimum Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field, with a Graduate degree strongly preferred
Minimum 3 years of experience as a Data Scientist, Statistician or related position
Hands-on quantitative experience to include data mining, predictive modeling, machine learning, statistical programming, working with both structured and unstructured data
Demonstrated capability in rapid prototyping and developing end-to-end solutions using complex algorithms
Broad understanding of core statistical and ML techniques
Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS
Proficient in the use of visualization tools, Power BI preferred
Experience with Microsoft Stack preferred
Solid time-management skills and able to work on multiple tasks or projects concurrently
Strong interpersonal, written, communication and relationship-building skills
A plus for experience with MLOps, Deep Learning, and/or big data

Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we’ve been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who’s found that the greatest adventure starts with joining a company that strives to do the right thing.

This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position’s scope and function in the company.

At Columbia Sportswear Company (CSC), we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law. CSC believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. All employment is decided on the basis of qualifications, merit, and business need.
Apply Here
For Remote Data Scientist roles, visit Remote Data Scientist Roles

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