Senior Data Scientist for Venmo Analytics team who is very strong at generating valuable insights from data through deep dive analysis, experienced at supporting new product launches by establishing test and control plans and ensuring constant monitoring is in place to track
product performance.
About You
We are seeking an exceptional Senior Data Scientist for Venmo Analytics team with a passion for data insights and relentless focus on execution:
**You are curious and inquisitive**: love digging into data and uncovering insights
You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with mínimal guidance
You are a player-coach, and are not afraid of rolling up your sleeves and jumping into details
**Your day to day**:
Challenge the status quo, and drive data backed decision making
Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
Identify key metrics, conduct rigorous explorative data analysis, create executive facing dashboards and build business cases that drive decision making and business prioritization
Analyze consumer product performance and health, triage issues, and provide recommendation on the best course solution and optimization
Synthesizing 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 feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
Define and cultivate best practices in analytics instrumentation and experimentation
Support multiple projects at the same time in a fast-paced, results-oriented environment
Mentor junior analysts on complex analyses
**What do you need to bring**:
At least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
B.S. in a quantitative field, advanced degrees preferred
Fluent in SQL and at least one scripting language such as Python or R, comfortable working with large, complex, and potentially messy datasets
Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
Exceptional communication skills, both written and verbal, to influence cross-functional teams
Strong interpersonal skills and experience leading cross-functional teams
Prior work experience in a product analytics space would be highly valued
A passion for problem-solving and comfort with ambiguity