Data Scientist, Product

Mirage • New York, NY

21h • Onsite

About The Position

As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue.

Requirements

• 5+ years as a data scientist or in a similar role with a focus on product analytics
• High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling
• Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation
• In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling
• Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations
• Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business

Nice To Haves

• Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related)
• Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement
• Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks

Responsibilities

• Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities
• Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts
• Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation
• Develop and maintain analytical models and reproducible pipelines that support full funnel analytics
• Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk
• Create executive ready visualizations and dashboards that drive alignment and action among stakeholders
• Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle
• Provide recommendations to improve user experience and conversion and overall product performance and track realized impact
• Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods

Benefits

• Comprehensive medical, dental, and vision plans
• 401K with employer match
• Commuter Benefits
• Catered lunch multiple days per week
• Dinner stipend every night if you're working late and want a bite!
• Grubhub subscription
• Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)
• Multiple team offsites per year with team events every month
• Generous PTO policy

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level