Lead Data Scientist
2 weeks ago
**What you'll be doing**:
- Work with stakeholders and engineering teams in a cross-functional environment.
- Collaborate to design, build, and maintain, data flows, data pipelines, data lakes, applied ML models, (specifically in hazard, survival, LTV, RFM/E), Ad-hoc analysis of datasets, including collaborating on A/B, multi-variate testing.
- Improve existing processes and models, validating accuracy and performance, documentation using the team WIKI, presenting clear and consistent reports and presentations to the Senior Leadership team showcasing improvements, shortfalls, and areas of interest for future research.
- Develop a deep understanding of our data assets and identify opportunities for improvements and development.
- Lead the Data Science team in planning and following a roadmap, sharing your knowledge, experience, and expertise in data science.
**What you'll need to be successful**:
**Must haves**:
- Professional experience: 3+ years in a similar key role.
- Advanced statistical skills and experience working with data teams and/or software engineering teams.
- Strong attention to detail, with the ability to clearly communicate results and to define next steps to the department and company.
- Bachelor and Master's/PhD in business, Statistics, Actuarial Finance, Mathematics, or any STEM or advanced Finance backgrounds.
- Strong understanding of Business and Statistics is important as well as Business experience with e-commerce, digital marketing, online sales platforms.
- Experienced and proven track record of using SQL, Python, Microsoft Azure, Excel, building data models, GIT.
**Nice to Haves**:
- Direct cloud experience or ETL background, DataBricks.
- Experience with Power BI.
**As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees**
**In this role you may be exposed to adult content
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