Senior Data Scientist Analytics Leader

2 days ago


San Francisco, California, United States Tonal Full time
About the Role

We are seeking a highly skilled Senior Data Scientist to join our team at Tonal. As a key member of our analytics team, you will play a critical role in driving data-informed decisions across the organization.

Key Responsibilities
  • 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.
Requirements
  • 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.
What We Offer
  • Competitive compensation range: $136K - $190K
  • Equity
  • Health insurance
  • Retirement savings benefits
  • Life insurance and disability benefits
  • Flexible paid time off
  • Parental leave
  • Other additional benefits

We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about data analytics and want to join a dynamic team, please submit your application.



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