Senior Data Scientist (Matching)

• Hinge is seeking a versatile Senior Data Scientist to work on product development initiatives on our Matching team
• From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you as data scientists at Hinge will inform and evaluate product feature development and strategy
• In turn, your work will deeply influence how millions of Hinge members use the app and connect with each other
• Collaborate with a cross-functional team of product managers, researchers, designers and engineers to develop and iterate on product features and strategy
• Translate product objectives to data science problems and vice versa
• Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy
• Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems
• Collaborate with AI team to develop, iterate, and test production models (e.g., targeting)

Benefits

• Hybrid and Remote Work: If you’re hybrid, you’ll come in three times a week. We host our biweekly All-Hands meetings on Wednesdays (often with sweet treats).
• Retirement Benefits: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.
• Health Insurance: high-quality medical, dental, and vision coverage for you and your family.
• Paid Time Off: 20 accruable vacation days annually. Plus 1 floating holiday, 10 wellness days, 1 community service day, and a generous company holiday calendar. PTO increases with tenure after 2 years with the company.
• Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents). We also subsidize fertility care and preservation services.
• Wellness: We subsidize OneMedical, ClassPass, and CitiBike memberships. You and your dependents also have access to individual therapy, group therapy, and coaching services through Modern Health.
• Professional Growth: receive a $3,000 annual Learning & Development stipend after three months, along with free access to Udemy, an online marketplace with over 6,000 courses, starting on your first day.
• Dating: Experience what our users experience. All US-based Hinge employees receive a $100 monthly stipend for epic dates.

Hinge Premium is also free for all employees and their loved ones.

• Meals: Receive a $30 weekly Seamless credit. In the NYC office, we offer plenty of options for snacks and drinks. Plus, free catered lunches in the office Tuesday through Thursday. In-office lunch varies by location.
• Community Service: We match charitable donations dollar for dollar to a maximum of $15,000 per employee, and give every US-based employee 1 day off for community service annually.
• Commuting: Every US-based hybrid employee gets a $125 monthly commuter subsidy to use for public transportation, parking, bike maintenance and storage, and more.
• Pets: Feel free to bring your best friend to work with you to the NYC office. For US-based employees, we’ll provide pet insurance for your furry family members, too.
• Legal Coverage: You’ll receive low cost access to legal coverage that covers custody and support matters, divorce, real estate and home ownership, tenancy issues, tax issues, wills and estate planning, and more.
• Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.- Excellent collaboration skills and a track record of cross-functional influence
• Ability to balance rigor with practicality
• Strong working knowledge of SQL and Python (R is acceptable but we use Python at Hinge)
• Strong knowledge of statistics and machine learning
• Experience with A/B testing
• Superb communication skills
• 5+ years of experience as data scientist
• Deep sense of intellectual curiosity