Data Scientist
2 weeks ago
**Join our Winning Team as a Data Scientist - Consumer Lifecycle**
When was the last time you bragged about where you work? At CARFAX, we do it every day. Why? Because we’re proud to work for a company with a strong mission and trusted brand. We’re proud to work with people who care about what they do and work hard every day to deliver their best. We’ve created the type of company culture where the term, “work
- hard play
- hard” isn’t just a catchy saying, it’s part of the
**#CARFAXdifference**
CARFAX is seeking a
**As a Data Scientist you will**:
- Proactively analyze product usage and consumer behavioral data to identify drivers of consumer acquisition, engagement and churn.
- Actively share behavioral insights from consumer activity data with product teams and help drive development of new product features and/or marketing campaigns.
- Collaborate closely with data architects and engineers to ensure data requirements for modeling efforts are met.
- Develop statistical models for consumer segmentation; targeting and lifetime value calculations that help drive product and marketing strategy.
- Build and maintain KPI dashboards that help track performance of marketing touchpoints and assist in roadmap planning.
- Provide data and analysis support for A/B testing and personalization efforts.
**To be considered for this role, you will need**:
- 3+ years as a data scientist/ data analyst in a non-academic setting, preferably in a consumer products company.
- M.S. or PhD in a quantitative discipline such as Computer Science, Mathematics, Statistics, Operations Research etc.
- Programming experience in R.
- Experience with a broad range of supervised and unsupervised statistical learning techniques
- Experience using SQL to query large relational databases (Oracle, Redshift etc.).
- Excellent communication skills - should be able to communicate technical concepts in a clear and concise manner to various stakeholders with varying levels of technical expertise.
- Pragmatic approach to solving problems - achieves goals by making incremental improvements and tracking progress over time.
- Strong collaboration with a diverse group of business and technical experts in a tightly knit team setting
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