Remote Senior Data Scientist (Recommendations and Discover) (Match Group Americas, LLC (f/k/a Match LLC) Dallas, TX)

Description:

• Serve as the Subject Matter Expert for various teams to provide support for A/B test design and analysis.
• Provide data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards.
• Mentor junior data scientists on customer behavior and business performance.
• Oversee junior data scientists in building models to understand user value and churn behavior.
• Evaluate data patterns and communicate insights and opportunities with executives and internal teams.
• Perform ongoing and ad-hoc analyses to evaluate A/B tests and build reporting infrastructure.
• Provide analytics insights to optimize the app’s Trust and Safety environment and authentication funnels.
• Work closely with product and engineering teams to develop and deploy a robust discovery process for users, including relevant recommendation engines.
• Responsible for aligning the discovery and recommendation engine roadmap with product and brand-specific goals related to monetization, retention, and engagement.
• Liaise with technical centers of excellence, including ML and AI, to integrate leading-edge technologies into brand-specific recommendation systems.
• Support cross-brand initiatives through product integrations or transferring successful features specifically on discovery.
• Stay updated on the latest industry developments related to recommendation engines and propose improvements to existing solutions.
• Oversee the integration of captured event data with other customer data sources, including surveys, ad publishers, and app store data.
• Use strong communication skills to manage reporting and business intelligence needs for Product, Marketing, Engineering, and Finance teams.
• Position allows telecommuting from anywhere in the U.S.
• Salary range is $140,109 - $150,000 per year.

Requirements:

• A Bachelor’s degree or U.S. equivalent in Computer Science, Data Science, Business Analytics, Quantitative Methods, Operations Research, Statistics, or a related field, plus 5 years of professional experience as a Data Scientist or in a position involving data analysis and testing.
• Alternatively, a Master's degree or U.S. equivalent in the aforementioned fields, plus 3 years of professional experience as a Data Scientist or in a position involving data analysis and testing.
• 3 years of professional experience providing data wrangling services to make data consumable for downstream purposes.
• 3 years of professional experience using scripting languages (including Python, NumPy, or PANDAS) and structured query language (SQL).
• 3 years of professional experience with Microsoft Excel and Microsoft PowerPoint for creating presentations, automated reports, and dashboards.
• 3 years of professional experience utilizing machine learning/statistical modeling tools and techniques (including sklearn, tensorflow, or keras).
• 2 years of professional experience working with Product, Marketing, and Engineering teams.
• 2 years of professional experience developing and working with recommendation engines.
• 1 year of professional experience using experimentation on Trust and Safety identity features and working with common KPIs, metrics, and Trust and Safety experiments.
• 1 year of professional experience designing and analyzing A/B tests for software systems or applications using statistical methods.

Benefits:

• Competitive salary ranging from $140,109 to $150,000 per year.
• Opportunity to work remotely from anywhere in the U.S.
• Mentorship opportunities for professional growth and development.
• Involvement in cross-brand initiatives and exposure to leading-edge technologies in machine learning and AI.
• Access to a collaborative work environment with various teams including Product, Marketing, and Engineering.