Job Description:
About You:
We are seeking an exceptional Data Scientist for Consumer Portfolio Analytics team with a passion for data insights and relentless focus on execution who is
- Curious and inquisitive: loves digging into data and uncovering insights
- Hyper-analytical and intellectually honest: truly believing in data-driven decisions and communicating ideas through storytelling
- Highly motivated, result-oriented self-starter and enjoys working in a fast-paced environment, and can deliver successful results with minimal guidance
- Player-coach, and are not afraid of rolling up their sleeves and jumping into details
Your day to day:
- Challenge the status quo, and drive data backed decision making
- Partner closely with product & marketing to understand new offerings being built and recommend the right metrics to measure the impact to the portfolio
- Identify key metrics, conduct rigorous explorative data analysis, create executive facing presentations and build business cases that drive decision making
- Analyze consumer portfolio performance and health, explore opportunities for driving engagement & profitability for the business
- Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
- Collaborate with engineering and data engineering to enable data tracking, resolve complex data issues, and build necessary data pipelines
- Support multiple projects at the same time in a fast-paced, results-oriented environment
- Coach and mentor a small group of team members on day-to-day delivery
- complex data and tracking issues, and build necessary data pipelines
- Define and cultivate best practices in analytics instrumentation andexperimentation
- Support multiple projects at the same time in a fast-paced, results-oriented environment
What do you need to bring:
- At least 10 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- Bachelors in a quantitative field, advanced degrees preferred
- Excellent in SQL and scripting languages such as Python or R, comfortable working with large, complex, and potentially messy datasets
- Strong foundational knowledge of statistics (e.g. hypothesis testing, statistical inference, regression)
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Strong interpersonal skills and experience working with cross-functional teams
- Prior work experience driving data driven solutions for customer facing businesses would be highly valued
- A passion for problem-solving and comfort with ambiguity
Our Benefits:
Any general requests for consideration of your skills, please