Senior Data Scientist, Analytics

1 month ago

San Francisco, United States Tonal Systems, Inc. Full time
Who We Are

Tonal is the smartest home gym and personal trainer. It has completely revolutionized the way people work out at home, with its sleek design and advanced A.I. technology. We’ve united a diverse team of experts and decades of research to reinvent strength training, making it more efficient, more effective and more engaging.

With this in mind, we want to bring that same innovative approach to the workplace. At Tonal, we continue our shift of emphasis by growing our instrumental team. We collectively weave our knowledge and creativity, as we redefine the future of fitness. We are passionate about building products that transform lives, and building teams that transform the status quo. Together, we can be our strongest.

Overview

As a Senior Data Scientist - Analytics, you will play a pivotal role in driving data-informed decisions across our organization. This role requires a deep understanding of data analytics and modeling, experience and aptitude to manage internal stakeholders, and ability to maintain aspects of our data warehouse to support product development and business strategy. You will work with tools like Databricks, DBT, Python, and Looker, utilizing your expertise to generate insightful reports that influence business decisions all while serving as the primary relationship owner of the stakeholders you manage. As a data scientist, you will be partnering with the software, sports science, product, and strategy teams on a wide array of focus areas and needs.

What You Will Do
  • Design, develop, and maintain complex data models, queries, and automated ETL pipelines using tools like Python, Databricks, Snowflake, Pandas, and DBT to extract actionable insights from large datasets.
  • Prepare and present comprehensive reports, dashboards, and visualizations, ensuring data is accessible and understandable to stakeholders across the organization.
  • Collaborate with cross-functional teams, including product managers and engineers, to define data requirements, identify trends, and drive business decision-making aligned with organizational goals.
  • Apply statistical methods and machine learning techniques to analyze data, evaluate KPIs, and provide strategic recommendations for business improvements.
  • Mentor junior data analysts, promote best practices, and stay current with industry trends and advancements in data analytics to continuously improve processes and tools.
Who You Are
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master’s preferred) with at least 5+ years of experience in data analysis.
  • Proven expertise in SQL, Python, Pandas, and advanced knowledge of statistical methods, data modeling, and machine learning software, like SKLearn and TensorFlow.
  • Strong experience with data reporting and analysis tools, like Looker, Databricks, Snowflake.
  • Proven expertise in delivering innovative and effective solutions to complex challenges, with a deep understanding of the interplay between various disciplines, and the capacity to lead the development of new policies and strategic initiatives.
  • Demonstrated ability to analyze intricate data and scenarios, identify suitable methodologies and processes, and apply sound judgment in adapting techniques to achieve optimal outcomes.
  • Demonstrated ability to effectively communicate data-driven insights to both technical and non-technical stakeholders.
Extra credit
  • Knowledge/experience in Connected Fitness.
  • Experience with big data technologies such as Spark, a track record of mentoring and guiding junior analysts.
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