Data Scientist

San Diego, CA or Sunnyvale, CA

RADAR

KNOW WHAT'S IN YOUR STORE ALL THE TIME, IN REAL-TIME...

View all jobs at RADAR

Apply now Apply later

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 and Computer Vision 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, machine learning 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.

Qualifications

  • 4+ years of experience working in a data science, analytics engineering or machine learning engineering role.
  • Strong proficiency in Python and standard data science tools / packages (NumPy, Pandas, Jupyter, etc.).
  • Strong proficiency in Big Data query tools such as SQL or Apache Spark.
  • Experience in the development, maintenance and monitoring of data and machine learning pipelines.
  • Solid foundational understanding in statistics, probability and linear algebra.

Preferred Skills:

  • Experience developing data products within a retail environment e.g. space/range/display. optimization, demand forecasting, personalization, out of stock prediction.
  • Experience working with real-time data streams and large-scale data warehouses.
  • Experience creating analytics solutions using visualization tools such as Looker or Tableau.
  • Experience using Cloud based tools for ML development, deployment and monitoring e.g. Vertex AI (preferred), Sagemaker or Azure ML.
  • Bachelor’s degree and equivalent practical experience or Master’s degree in a relevant field,

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.

At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $150,000 - $240,000. Individual pay is determined by work location and additional factors,  including job-related skills, experience and relevant education or training.

You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan,  flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.

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 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.

Apply now Apply later
Job stats:  1  1  0
Category: Data Science Jobs

Tags: Azure Big Data Computer Vision CX Data analysis Engineering Jupyter Linear algebra Looker Machine Learning NumPy Pandas Pipelines Python Radar Research SageMaker Spark SQL Statistics Tableau Vertex AI

Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours Flex vacation Health care Medical leave Parental leave Startup environment

Region: North America
Country: United States

More jobs like this