Data Scientist III (Remote Work Option)

About the position Responsibilities • Developing and implementing statistical models and machine learning algorithms to analyze relevant structured and unstructured datasets and variables. • Developing ML models and planning end-to-end ML model experiment design. • Applying hypothesis testing, regression, A/B testing and time-series forecasting to product creation decisions and timelines. • Building and maintaining predictive/prescriptive models for scale working closely with ML Engineers to turn successful prototypes into new AI products. • Working closely with product and engineering teams to build, support, and scale these data-driven insights into product merchandising plans & assortments and product design recommendations. • Evaluating existing ML and statistical products to ensure continued high-quality results and outputs. • Performing data and error analysis to improve model performance. • Creating clear and compelling visualizations to communicate findings and recommendations. • Identifying and making recommendations on analytical tools, research tools, methods. Requirements • Strong statistical and mathematic foundation. • Solid understanding and practical application of statistical concepts, probability and hypothesis testing. • Extensive experience with cloud tools for data science, machine learning and modeling, and visualization e.g., Jupyter Notebooks, RStudio, pandas, PySpark, SageMaker, Databricks, MLFlow, Tableau, PowerBI. • Expertise in languages like Python, R, and SQL for data manipulation, analysis and model building. • Machine learning algorithms and techniques. • 3+ years of experience building models. • 3+ years of deep learning, neural network algorithm development. • Prediction, Forecasting, A/B testing, complex modeling and data analyses. • GenAI and building LLM prototypes. • Developing and running simulation and optimization tools to support decision making. • Ability to visualize data in the most effective way possible. • Ability to communicate complex data in a simple, actionable way to non-technical audiences and leadership teams. • Ability to work independently and with a diverse team. • PhD in data science or related field. Will accept any suitable combination of education, experience and training. Benefits • Generous total rewards package. • Casual work environment. • Diverse and inclusive culture. • Electric atmosphere for professional development. Apply tot his job