Staff Data Scientist
About The Position
Lead and manage data science projects, ensuring timely delivery and alignment with business goals. Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making. Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Ensure data quality and integrity through regular audits and validation processes. Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Requirements
- 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
- Bachelor's or Master's degree, and a PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience.
- 5+ years of professional experience in an analytical role, with proven success managing teams of analysts or data scientists.
- Proficiency in databases, spreadsheets, and statistical tools, with advanced skills in SQL, data mining, and BigQuery analytics (Google Cloud).
- Extensive experience in experimentation, including designing, executing, and analyzing product or feature launches.
- Expertise in synthesizing complex data into clear, actionable insights and narratives.
- Experience working with large, multi-dimensional datasets and solving analytical challenges.
- Strong problem-solving abilities and the capability to deliver actionable recommendations based on analysis.
- Advanced proficiency with reporting tools like Tableau and Excel for creating and sharing insights.
- Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership
Nice To Haves
- Familiarity with one or more tools such as Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, and BigQuery is highly desirable.
- Industry experience in payments, eCommerce, or financial services is a plus.
Responsibilities
- Lead and manage data science projects
- Develop and maintain data models, algorithms, and reporting systems
- Analyze complex datasets to identify trends, patterns, and insights
- Collaborate with cross-functional teams to understand data needs
- Ensure data quality and integrity through regular audits and validation processes
- Mentor and guide junior data scientists
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
