Senior Product Data Scientist, Venmo at PayPal
San Jose, California, United States -
Full Time


Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Data Analysis, SQL, Python, R, Statistics, Experimentation, Communication, Mentoring, Collaboration, Problem-Solving, Data Quality, Data Integrity, Dashboard Creation, Product Analytics, Data Pipelines

Industry

Software Development

Description
Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. 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 Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. We are seeking an exceptional data science leader 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 minimal guidance You are a player-coach, and are not afraid of rolling up your sleeves and jumping into details 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
Responsibilities
Lead the development and implementation of advanced data science models while collaborating with stakeholders to understand requirements. Analyze consumer product performance, triage issues, and provide recommendations for optimization.
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