Data Scientist II leveraging advanced statistical methods and machine learning at F5. Join the Data & Insights team to create impactful data products and drive business success.
About the role
- Senior Data Scientist at Tinder, partnering with various teams to drive revenue strategies. Utilizing data science methods and product analytics to influence pricing and premium experiences, with hands-on collaboration.
Responsibilities
- Evaluate the impact of new features and monetization initiatives holistically, measuring effects on revenue, user engagement, and long-term retention and translating findings into clear recommendations for product and executive stakeholders.
- Partner with product revenue leads to identify new opportunities by leveraging data to make recommendations on new business initiatives.
- Design, execute, and analyze A/B and paired market experiments to ensure statistically valid results guarded against noise and biases.
- Partner with Product and ML teams to refine and scale pricing, forecasting, and uplift models, delivering actionable insights into user-segment behavior, market dynamics, and monetization opportunities.
- Work in a fast-paced and dynamic environment with concise and impactful communication directly to executive leadership.
- Provide guidance and mentorship to junior data scientists, fostering a collaborative and growth-oriented environment within the team.
- Stay up-to-date with industry trends, emerging technologies, and best practices in data analytics, data science, and pricing strategies
Requirements
- Bachelor’s, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Physics, or related fields).
- 4+ years of professional working experience in Data Science and/or analytics.
- 2+ years of industry experience in pricing strategy or monetization analytics, preferably in a related industry (mobile apps, two-sided marketplaces, online dating, social networks, etc., is a plus).
- Advanced understanding of descriptive statistics and experimentation, and confidence in implementation of those methods at scale.
- Expertise with SQL and data visualization tools (e.g. Tableau or Mode) and proficiency in a programming language such as Python or R for data analysis and modeling.
- Resilience and agility to react and communicate fast, prioritizing time on the most impactful projects.
- Excellent communication skills, both written and verbal, with the ability to present complex ideas and results to non-technical stakeholders.
- Proven track record of successfully leading cross-functional projects, managing stakeholders, and driving impact with data-driven insights.
Benefits
- Unlimited PTO (with no waiting period), 10 annual Wellness Days
- Time off to volunteer and charitable donations matching
- 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 stipend for your professional development
- Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
- Free premium subscriptions for several Match Group apps – including Tinder Platinum!
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Associate Data Scientist at Kyndryl's AI Innovation Hub transforming raw data into actionable insights. Collaborating with senior scientists to develop machine learning models and tackle real business challenges.
Data Scientist at PwC creating AI and machine learning solutions. Working with global teams to address diverse business challenges while mentoring junior members.
Data Scientist at Target responsible for developing and managing predictive algorithms using large - scale data. Collaborating with teams to optimize retail solutions and improve decision - making processes.
Consultant(e) Senior - Data IA au sein de Square Management, intervenant sur des enjeux de transformation pour des clients grands comptes.
Senior Manager, Data Science responsible for advanced analytics methodologies at Numeris. Leading a team to ensure accuracy and reliability of data products and processes.
Data Scientist providing data - driven insights to inform business strategy at Mixpanel. Collaborating with leadership to shape research initiatives and drive positive organizational change.
Senior AI/ML Platform Architect for Instructure building AWS - native infrastructure for AI/ML services, translating needs into scalable architecture.
Lead Analyst driving AI - enabled data capabilities across RCM organization in Hyderabad. Collaborating with interdisciplinary teams for machine learning model development and actionable insights.
Data Science Intern at Ekimetrics supporting marketing effectiveness and strategy with data analysis and modeling techniques. Engage with cross - functional teams and contribute to client deliverables.