About Us
Be part of an exciting, well-funded startup changing the world of retail. RADAR’s mission is to revolutionize customer experience in retail through precise identification of inventory in the stores and distribution centers, completely transforming the in-store experience for employees and customers alike. RADAR's proprietary hardware and software platform combines RFID, Computer Vision and AI to provide hyper-precise, real-time location of every product and person in physical stores. This unprecedented capability enables retailers to automate in-store inventory management, analytics, and checkout...and this is just the beginning of what we hope to accomplish together.
About the Job
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.
Responsibilities:
- 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.
About You
Required:
- 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.
Preferred:
- Master’s degree in a relevant field, or a Bachelor’s degree and equivalent practical experience.
- 3+ years of experience working in a data science role.
- Experience working with real-time data streams and large-scale data warehouses.
- Experience with data engineering and data science infrastructure design.
Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.
What We’re Looking For In Teammates
Technology like what we’re building doesn’t happen on its own. It is the result of a collaborative environment and the hard work of passionate, dedicated individuals working intelligently towards a common goal. We are looking for exceptional people to join our growing team and have a positive impact on our culture, technology, and product from day one. We deeply value humility, curiosity, and a positive attitude and you should as well. You should also believe that mutual respect is the foundation of any healthy and productive relationship.
You should be unafraid to ask questions or challenge responses no matter how simple or complex. Most importantly, you should value honest and direct communication as you recognize that this is the best way for any individual or team to continuously learn and grow. Accomplishing our collective goals will be fun but it will also be hard; you should be in pursuit of an ongoing and rewarding challenge!
What It’s Like To Work With Us
We’re passionate about the technology we’ve created and what we’re building, but we know that changing any industry and creating a successful company will take balance, maturity, and a sustained effort. We’ve combined retail industry expertise, amazing engineers with experience shipping real-world hardware and software solutions, and a team of brilliant minds who are not afraid to focus on solving “impossible” problems. But this passion doesn’t mean we live unbalanced lives. We have families and passions outside of work, and we know that the best work comes from sharp, rested people.
We respect each other and each of our contributions, and we believe that the best solutions will come from a diversity of ideas and perspectives.Finally, we build our products with deep empathy for the people who will use them every day. Their input and insights are our clearest guide to building what they need; we respect our partners and clients, and listen closely to their feedback.
