Data Scientist

RADAR•Sunnyvale, CA

11h•$120,000 - $145,000•Hybrid

About The Position

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. This is a hybrid role based in our Sunnyvale, CA location with a flexible hybrid work schedule of 2-3 days in the office.

Requirements

You have a Bachelor’s degree with equivalent practical experience or Master’s degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Engineering)
You have 2+ years of experience in a data science or applied machine learning role
You have strong proficiency in Python and common data science libraries (NumPy, Pandas, SciPy, PyTorch etc.)
You have strong SQL skills for data exploration, transformation and Machine Learning feature development
You have knowledge of streaming technologies for real-time analytics and Machine Learning feature engineering
You have solid foundation in statistics, probability, and linear algebra
You have experience with both classical machine learning and modern deep learning techniques
You have experience contributing to the end-to-end development lifecycle, from requirements gathering and feature development to model / pipeline implementation and deployment
You have excellent communication and collaboration skills, with the ability to work cross-functionally

Nice To Haves

You have experience with GCP data and ML stack, including BigQuery, Dataflow, Vertex AI
You have experience orchestrating pipelines using Airflow and/or Kubeflow Pipelines
You have experience with streaming data architectures and real-time data processing frameworks (e.g., Pub/Sub, Kafka)
You have familiarity with stream processing frameworks such as Apache Beam or Spark Structured Streaming
You have experience building real-time or near real-time analytics systems
You have familiarity with BI and visualization tools such as Looker
You have experience working with large-scale data systems and complex feature engineering pipelines

Responsibilities

Design, build, and maintain scalable batch and real-time data pipelines powering RFID analytics
Develop, deploy, and monitor end-to-end machine learning pipelines, including feature engineering, training, and evaluation
Collaborate closely with research teams to improve RFID-based positioning algorithms and core modeling approaches
Design and execute experiments and simulations from hypothesis generation through analysis and presentation of results
Perform deep analytical investigations into datasets and systems to identify root causes and drive data-informed improvements
Establish and evolve best practices for data science, experimentation, and research workflows
Uphold a high standard of scientific rigor, statistical validity, and reproducibility across all work
Partner with product managers, designers, and engineering teams to translate product requirements into data-driven solutions and features
Build and maintain data products and dashboards that support real-time and near real-time insights