Senior Data Scientist Analytics Leader
2 days ago
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.
- 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.
- 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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