Data Scientist III (Remote Work Option, Multiple Openings) at Nike

Open to remote work except in South Dakota Vermont and West Virginia.The annual base salary for this position ranges from $107700.00 in our lowest geographic market to $212600.00 in our highest geographic market. Actual salary will vary based on a candidates location qualifications skills and experience.Information about benefits can be found here.WHO WE ARE LOOKING FORWe are looking to hire four (4) Data Scientist IIIs to join our Consumer Product & Innovation team as part of this job posting.Were looking for a Data Scientist III to join our Reporting Intelligence team in the Consumer Product & Innovation will work with diverse cross-functional team members leveraging data-driven insights and AI to inform and optimize all stages of Nikes merchandising and apparel & footwear product creation lifecycle.WHAT YOU WILL WORK ONYou will partner with cross-functional teams to develop data-driven insights predictive models and optimization solutions for Nikes apparel and footwear product merchandising design and development functions. Leveraging your deep expertise in statistical analysis machine learning and applied data science you will help solve complex problems across the apparel and footwear product lifecycle. You will be responsible for developing scalable models conducting exploratory data analysis and generating actionable insights that drive data-driven decisions for our merchants and creators.You will be responsible for:Developing and implementing statistical models and machine learning algorithms to analyze relevant structured and unstructured datasets and variables (Merchandising Product Lines and Assortments Apparel & Footwear Design and Development Sales Consumer Behavior Market Trends. etc.)Developing ML models and planning end-to-end ML model experiment designUnderstanding and translating business needs and objectives into the appropriate modeling techniqueApplying hypothesis testing regression A/B testing and time-series forecasting to product creation decisions and timelinesBuilding and maintaining predictive/prescriptive models for scale working closely with ML Engineers to turn successful prototypes in to new AI productsWorking closely with product and engineering teams to build support and scale these data-driven insights into product merchandising plans & assortments and product design recommendationsEvaluating existing ML and statistical products to ensure continued high-quality results and outputsPerforming data and error analysis to improve model performanceCreating clear and compelling visualizations to communicate findings and recommendationsIdentifying and making recommendations on analytical tools research tools methodsWHO YOU WILL WORK WITHYou will spend much of your time with peer data scientists machine learning engineers and merchandising apparel and footwear creation Product Managers in CP&I delivery teams.WHAT YOU BRINGPhD in Data Science Applied Statistics or related field. Will accept any suitable combination of education experience and training.Strong statistical and mathematic foundation. Solid understanding and practical application of statistical concepts probability and hypothesis testingExtensive experience with cloud tools for data science machine learning and modeling and visualization e.g. PySpark Databricks MLFlow Jupyter Notebooks RStudio pandas SageMaker Tableau PowerBIExpertise in languages like Python SQL and R and for data manipulation analysis and model buildingMachine learning algorithms and techniques - you have a tool belt of techniques you can draw from and pick the right one for the business problem at handDemonstrated ability to proactively engage with business stakeholders listen deeply to business challenges and translate them into well-defined data science problems using the most effective analytical techniques.Systems thinkerskilled at seeking to understand the broader context inputs dependencies and external effects that shape business problems ensuring solutions are robust and impactful.3 years of experience building models including deep learning neural network algorithm developmentPrediction Forecasting A/B testing complex modeling and data analysesGenAI and building LLM prototypesDeveloping and running simulation and optimization tools to support decision makingAbility to visualize data in the most effective way possibleAbility to communicate complex data in a simple actionable way to non-technical audiences and leadership teamsAbility to work independently and with a diverse teamWe offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for in-person interviews closed captioning and other reasonable modifications as needed. If you discover as you navigate our application process that you need assistance or an accommodation due to a disability please complete the Candidate Accommodation Request Form. Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full-Time Experience: years Vacancy: 1