Staff Data Scientist, Advanced Analytics and Engineering Hot Job San Francisco, California De[...]

Company: Lifeattinder
Location: San Francisco
Posted on: April 30, 2024

Job Description:

Staff Data Scientist, Advanced Analytics and Engineering Location Department Finance & Analytics Job Type Full Time Our Mission:As humans, there are few things more exciting than meeting someone new. At Tinder, we're on a mission to power and inspire real connections by making it easy and fun for every new generation of singles. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.Our Values:One Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.Spark SolutionsWe're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.The Role: The Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder.

We are seeking a passionate and motivated Staff Data Scientist to join Tinder's Sophisticated Analytics & Engineering team. In this role you will partner with data scientists and engineers across the company to improve and amplify our use of data and machine learning in order to derive better insights on our users and our business. In this role, you will work with Engineering to put data science techniques into self-service tools. The ideal candidate will have the right mix of hard and soft skills that allows them to technically mentor data scientists, while also effectively communicating the impact data science can have on Tinder. In this role, you will:

• Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
• Build models to apply various machine learning, sophisticated analytics and visualization techniques to various datasets across the company.
• Effectively communicate actionable insights to all levels of the organization with varying degrees of data science understanding and backgrounds.
• Work closely with Engineering, Product Management and Data Science to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts.
• Provide guidance and mentorship to junior data scientists on technical solutions, fostering a collaborative and growth-oriented environment within the team.
• Represent the data science field throughout the organization, having a powerful voice to make us more data-driven
• Build self-serving data science products to make analytics simpler within the company
• Collaborate with cross-functional teams to identify and implement data science initiatives that align with business goals, and communicate insights and recommendations to collaborators in a clear and actionable way
• Stay up-to-date with industry trends, emerging technologies, and standard processes in data analytics, data science, and pricing strategies.Skills Required:
  • Bachelor's degree or equivalent experience in a quantitative field.
  • 7+ years of industry experience in mobile consumer products, preferably in a related industry (marketplaces, online dating, social networks, etc., is a plus).
  • Experience working on projects related to segmentation, recommendation systems, causal inference, forecasting, product analytics and insights.
  • Expertise with SQL and data visualization tools (e.g. Tableau or Mode) and proficiency in a programming language such as Python for data analysis and machine learning.
  • Resilience and agility to react and communicate fast, prioritizing time on the most impactful projectsExcellent communication skills, both written and verbal, with the ability to present complex ideas and results to non-technical customers.
  • Proven track record of successfully leading cross-functional projects, managing collaborators, and driving impact with data-driven insights. Management experience is a plus.As a full-time employee, you will enjoy:
    • Unlimited PTO (with no waiting period), 10 annual Wellness Days
    • Time off to volunteer and charitable donations matched up to $15,000 annually
    • Comprehensive health, vision, and dental coverage
    • 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
    • 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
    • Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
    • Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
    • Free subscription to Tinder GoldSalary Range: $185,000 - $220,000 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. "We work on difficult problems which are essential to human connection, and the data we look at and use to make decisions is fundamentally different than most tech companies." - Isaac Lambert , Manager, Product Analytics Our hottest benefits for full time employees100% paid parental leave (including for non-birthing parents) and family forming benefitsPlan for the Future100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)Personal GrowthMentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional developmentGive backTime off to volunteer and charitable donations matched up to $15,000 annuallyInvestment in your wellnessAccess to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidyUnlimited PTOWith no waiting period and 10 annual wellness daysStaff Data Scientist, Advanced Analytics and Engineering
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Keywords: Lifeattinder, San Francisco , Staff Data Scientist, Advanced Analytics and Engineering Hot Job San Francisco, California De[...], Engineering , San Francisco, California