Senior Product Analyst

Social Discovery Group (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. We solve the problems of loneliness, isolation, and disconnection by transforming virtual intimacy into the new normal. Our portfolio includes online communication platforms focusing on AI, game mechanics, and video streaming - Dating.com, DateMyAge, Cupid Media, Dil Mil, Kiseki, and others.

SDG invests in IT startups around the world. Our investments include Open AI, Patreon, Flo, Clubhouse, Woebot, Flure, Astry, Coursera, Academia.edu, and many others.

We bring together a team of like-minded people and IT professionals specializing in the creation and development of globally impactful social discovery products. Our international team of 1200 professionals and digital nomads works all over the world.

Our teams of digital nomads work remotely from Cyprus, Malta, the USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia and many other locations.

In August 2024, we achieved Great Place to Work US Certification™! This achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie—not just great perks.

We are looking for a Senior Data Scientist / Product Statistician to join our team and help shape data-driven decisions through advanced modeling and experimentation.

Your main tasks will be:

• Build and maintain statistical models (e.g., LTV, Marketing Mix Models) to support business decision-making

• Search for proxy metrics and methodologies to speed up experimentation within the A/B testing framework

• Conduct advanced statistical analysis of experimental results, including quality validation and interpretation

• Analyze raw product data using statistical and machine learning tools to reveal dependencies and growth opportunities

• Code and maintain analytical data pipelines in Python and SQL for modeling and data preparation

We expect from you:

Hard Skills:

• Degree in mathematics, applied mathematics, statistics, or another technical field

• Solid understanding of mathematical statistics and probability theory

• Strong skills in data extraction, processing, and analysis using SQL and Python

• Practical experience in building and applying statistical models to real business problems (e.g., LTV, MMM)

• Experience in planning and analyzing A/B tests, including quality checks and proxy metric identification

• Willingness and ability to explore raw datasets and extract meaningful insights

Soft Skills:

• Ability to communicate effectively and present findings clearly

• Structured thinking and clarity in formulating hypotheses, insights, and conclusions

What do we offer:

• REMOTE OPPORTUNITY to work full time;
• Vacation 28 calendar days per year;
• 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
• Bonuses up to $5000 for recommending successful applicants for positions in the company;
• Full payment for professional training, international conferences and meetings;
• Corporate discount for English lessons;
• ​Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
• ​Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
• Internal gamified gratitude system: receive bonuses from colleagues and exchange them for time off, merch, team building activities, massage certificates, etc.

Sounds good? Join us now!