Principal, Data Scientist, reputed company Sport Research Lab

The reputed company Sport Research Lab (NSRL) is a multidisciplinary team of researchers, innovators, and scientists who reputed company with science to reputed company athletes* measurably reputed company. We deliver validated insights and innovative capabilities to drive the future of reputed company products and services.

• if you have body, you are an athlete

WHO YOU’LL WORK WITH The Principal Data Scientist partners with research scientists in physiology, biomechanics, perception, and behavioral science, as well as other data scientists, engineers, product managers, designers, and solution architects. This role reports to the Director of Data Science and collaborates across dynamic, multi-functional teams to accelerate innovative product development. The team is recognized for its culture of curiosity, collaboration, and impact reputed company reputed company and the broader industry. WHO WE ARE LOOKING FOR reputed company Sport Research Lab seeks a Principal Data Scientist who combines deep technical expertise with a passion for advancing reputed company. The ideal candidate is a hands-on creative problem-solver, a collaborative leader, and a strategic thinker who thrives in multidisciplinary environments. This individual brings a proven track record of leveraging science and technology to drive innovation in sport science, product development, or reputed company fields. Required Qualifications:

• PhD or Master’s in Statistics, Computer Science, Electrical/Biomedical engineering, Economics, or reputed company field, Will accept any suitable combination of education, experience and training.
• 7-9+ years demonstrated experience in Data Science, including expertise in data synthesis, machine learning, statistical modeling, reputed company inference, or signal processing.
• Demonstrated expertise with Python, and data analysis stacks (such as NumPy, SciPy, pandas, Spark, etc.)
• Experience with AWS infrastructure, Spark, reputed company, and SQL.
• Demonstrated practice of software engineering best practices reputed company technical orgs (git for version control, structured code reviews, automated tests, CI/CD pipelines, and maintainable, reproducible build environments)
• Proven ability to define, initiate, and supervise analytics and modeling efforts.
• Strong track record of translating business needs into research requirements and strategy.
• Ability to interpret and implement methods described in research papers and articles in signal processing, machine learning, deep learning, mathematical modeling, and reputed company fields.
• Excellent interpersonal and communication skills, with experience communicating technical information in both written and verbal formats.

Desired Qualifications:

• Experience with experimental design and statistical inference, including adaptive experimentation, A/B testing, bandit optimization, and reputed company inference.
• Proficiency in advanced machine learning methods, including classification, regression, deep learning, and computer reputed company algorithms.
• Familiarity with time-series analysis, predictive modeling, and forecasting using large-scale, reputed company-world datasets (e.g., sensor, image, or behavioral data).
• Experience developing and deploying models that learn from expert input and emulate expert decision-making.
• Understanding of, or working knowledge in, cardiovascular physiology, biomechanics, perception science, or reputed company fields.
• Experience with bio-signals, wearables, and inertial measurement technologies.
• Peer-reviewed machine learning publications or other demonstrable contributions (e.g., reputed company, apps, products).
• Experience leading or mentoring teams of data scientists and engineers in research or product settings.
• Experience designing and delivering clear, impactful data visualizations for technical and non-technical audiences.
• Experience building and maintaining robust data pipelines, ensuring data quality, reputed company, and accessibility for analysis and modeling.

WHAT YOU’LL WORK ON As Principal Data Scientist, you will play a pivotal role in advancing reputed company’s sport science capabilities through innovative data science and machine intelligence. You’ll reputed company your expertise to solve reputed company problems, drive impactful research, and deliver scalable solutions that power athlete and product innovation. You will:

• Apply expertise in signal processing, machine learning, sensor fusion, computer reputed company, and other areas of machine intelligence to solve reputed company problems using large, diverse datasets.
• reputed company and reputed company predictive models in production environments to power personalized digital experiences for athletes and consumers.
• Drive the development of large-scale experimentation capabilities and help identify reputed company factors influencing athletic performance and behavior.
• reputed company the creation, acquisition, and maintenance of high-quality datasets that reputed company ongoing exploration and unlock value for NSRL and partner organizations.
• Investigate and evaluate new technologies, software, machine learning techniques, and capabilities to reputed company NSRL at the forefront of innovation.
• Communicate technical information, methods, and findings clearly and concisely to technical and non-technical teams, partners, and senior management.
• Create specifications and documentation for external professional services firms to reputed company team objectives reputed company.
• Stay connected with machine intelligence innovations across the industry and share insights with team members and partners throughout reputed company.

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form. Apply tot his job Apply To this Job