Principal Data ScientistThis position is designated as a hybrid role based out of our headquarters near Portland, Oregon. The current expectation is for employees to work onsite four days per week, subject to change based on business needs. This in-office requirement may be adjusted at the discretion of the company.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 PositionAlthough 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 and applications 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 Principal 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. This role will have opportunities to engage across the organization with an area of focus in Direct-to-Consumer needs.How You'll Make A DifferenceDesign and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the businessCollaborate with other members of the D&A team and business partners in translating business requirements that can be answered with advanced analyticsConduct 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 channelsAudit existing analytical processes and provide guidance on implementing advanced machine learning capabilities according to industry standardsUnder minimal supervision, establish and execute plans to build, implement and maintain predictive models using available tools and programming languages. Manage full life cycle of projectsCollaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflowsTranslate analytical findings and statistical models into measures of business impact and actionable recommendationsDrive best practices in applying and deploying Data Science at scaleYou AreAptitude to synthesize and create a cohesive picture from a wide variety of information sourcesSolid time-management skills and able to work on multiple tasks or projects concurrentlyExtremely organized, detail-oriented, resourceful and flexibleStrong interpersonal, written, communication and relationship-building skillsAble to work and collaborate with cross functional teams, including IT, and manage partner expectationsA strong communicator that can demonstrate an ability to work with all ranges of an organization to advance Columbia's Data Science practice.You HaveMinimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field, with a Graduate degree strongly preferredMinimum 3 years of experience as a Data Scientist, Statistician or related positionHands-on quantitative experience to include data mining, predictive modeling, machine learning, statistical programming, working with both structured and unstructured dataDemonstrated capability in rapid prototyping and developing end-to-end solutions using complex algorithmsBroad understanding of core statistical and ML techniquesHighly proficient in SQL and other statistical programming languages, e.g., R, Python, SASProficient in the use of visualization tools, Power BI preferredExperience with Microsoft Stack preferredThis 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.Columbia Sportswear Company is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities.