Senior Data Scientist (User Growth)

• This person will embed with one or more product development teams, working collaboratively and cross-functionally to increase the impact of product iteration and experimentation
• Embed within one or more product development teams, building strong stakeholder connections and delivering data products and analyses that move team outcomes
• Collaborate across functional boundaries with Product Management, Engineering, Design, Marketing, and Finance across every phase of product development
• Own the prioritization and ROI assessment of Data Science opportunities within your area
• Translate complex findings into clear narratives for leadership and cross-functional partners. Influence strategic decisions through technical depth and effective communication
• Contribute to the analytical foundations within Growth, developing definitions, methodological guidelines, and self-serve dashboards that enable others to operate with data fluency
• Mentor and learn from other Data Scientists both within the Growth pillar and across the company

Benefits

• Medical, dental, and vision for employees as well as eligible partners and dependents
• Mental health benefits such as therapy sessions and coaching to support you to be your best self
• Fertility benefits to support your family planning journey
• Fully paid parental and adoption leave
• Fully paid subscription to Care.com and paid backup days for dependents and your fur family
• 401(k) with generous match and immediate vesting
• 20 days of paid time off, with two additional weeks off for winter break
• First-time home buyer bonus (in Pittsburgh)
• Competitive salaries and equity
• Yearly stipend for professional development
• Transportation reimbursement for however you get to work
• Lunch prepared daily by our in-house chefs
• Annual international retreat for all full-time employees
• Monthly events celebrating our team and their amazing work
• On-site gym and massages
• Game room for taking brain breaks

The ideal candidate combines deep technical fluency in data science and machine learning with exceptional communication skills and an acute product sense. They can identify the right questions to ask, use data analysis to create clarity in decision making, and deliver scalable data products and models as the situation demandsExceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiencesStrong command of SQL, Python or R, AI tools, and data/analytics engineering ecosystemsFluency with standard machine learning and predictive modeling techniquesExperience working as a Data Scientist embedded with or supporting a product development team. You have experience creating value from data in messy real-world settingsA graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analysis methodologyAn impressive Duolingo streakExperience building, maintaining, and improving production machine learning models and the infrastructure that supports themExperience operating at a high-growth, data-intensive consumer technology company, particularly in the user growth area

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