Data Scientist, Radar

• Strong proficiency in SQL, Python and standard data science tools / packages (NumPy, Pandas, Jupyter, etc.)
• Exceptional analytical & problem solving skills
• Solid foundational understanding of statistics, probability, linear algebra and numerical optimization
• Prior experience with training, deploying, monitoring and improving machine learning models at scale
• Experience conducting experiments with minimal guidance from hypothesis generation and data gathering to analysis and result presentation
• Exceptional communication and collaboration skills

Desirable

• We are looking for Data Scientists to help grow our research and data analysis capabilities at RADAR.
• The role requires extensive collaboration with teams and functions across the company ranging from product and customer success to engineering and research
• In your 30 days, you will:
• Understand our tech stack including all of our systems, algorithms, machine learning models and infrastructure
• Work alongside the team to train and deploy various machine learning models in production
• Work alongside the team to analyze model performance in stores and present results to internal and external stakeholders
• In your 60 days, you will:
• Take on unsolved problems and devise solutions independently, including training, deployment and monitoring of machine learning models in production
• Contribute to reviewing the team’s work and improving existing models, team practices and infrastructure
• Contribute to debugging and data analysis for various problems across the company
• In your 90 days, you will:
• Take end-to-end ownership of features from problem definition to planning, execution and delivery through collaboration with colleagues across teams
• Work as a member of our Core Tech team to develop RFID and CV based retail intelligence algorithms
• Design, train, deploy and scale algorithms and machine learning models to improve RADAR’s core technologies
• Contribute to developing and improving RADAR’s Data Science infrastructure, processes and best practices
• Contribute to data modeling and analysis efforts across various functions at the company to make sure we are making data informed decisions
• Contribute to designing and developing RADAR’s analytics and data products
• Design and run experiments / simulations from the ground up to help improve our core technologies
• Perform deep dives into existing datasets and systems in order to uncover and resolve underlying issues
• Promote and maintain a high standard of scientific and statistical rigor