Data Scientist

Join one of the fastest growing rewards/fintech startups in the world - Benjamin! Backed by Play Ventures and F4 Fund, we're all about making everyday actions rewarding. We're looking for an experienced Data Scientist to help us take things to the next level.

At Benjamin, we give users real cash rewards—what we call MoMos (Money Moments)—for things they’re already doing. From playing games and watching ads to everyday card purchases with cash back, we’re all about putting money back in people’s pockets.

Key Responsibilities:

• Lead and conduct comprehensive investigations into the virtual economy and products, employing hypothesis-driven insights and experimentation methods.
• Design and implement data science workflows, including experimental design and key statistical methods.
• Communicate complex topics effectively to both technical and non-technical stakeholders.
• Utilize statistical programming languages (R, Python, Julia) and SQL to analyze data.
• Leverage data engineering tools (dbt, Spark, Snowflake) to manage and process large datasets.
• Mentor and guide team members, fostering a culture of growth through teaching and knowledge sharing.
• Collaborate with cross-functional teams to drive business outcomes.
• Develop intuitive data visualizations and dashboards that influence business decisions, using tools like Hex, Looker, Tableau, or Mixpanel.
• Continuously seek out new ideas and data sources, applying a data-driven, hypothesis-based approach to solve ambiguous problems.

Qualifications

• Degree in Mathematics, Statistics, Computer Science, or a related field.
• 5+ years of experience in analytics or data science positions.
• Deep understanding of statistical analysis, including hypothesis testing and experimentation.
• Proficiency in statistical programming languages (R, Python, Julia) and SQL.
• Familiarity with data engineering tools such as dbt, Spark, and Snowflake.
• Expertise in writing structured and efficient SQL queries for large data sets.
• Experience building intuitive data visualizations and dashboards with tools like Hex, Looker, Tableau, Mixpanel, or similar.
• Strong communication skills for explaining complex topics.
• Passion for mentoring team members and recognizing teaching as a pathway to growth.
• Background in gaming and knowledge of the free-to-play business model preferred; similar experience in related industries is also valued.

Modeling Skills:

Extensive experience in developing and implementing:

• Predictive Models: Utilizing techniques like regression analysis, time-series forecasting, and ensemble methods.
• Machine Learning Algorithms: Designing and deploying algorithms such as decision trees, random forests, gradient boosting, neural networks, and clustering techniques.
• Statistical Models: Conducting statistical analysis using methods such as ANOVA, hypothesis testing, and Bayesian inference.

Ideal Candidate:

• Proven track record in the virtual economy and products.
• Experience in the entertainment or platform industry.
• Ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.

Why Join Us?

• Competitive pay: We offer great salaries and bonuses.
• Thriving in Hyper-Growth: Immerse yourself in the dynamic environment of a hyper-growth startup, where you'll encounter daily challenges and avenues for professional advancement.
• Cutting-Edge Collaboration: Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation.
• Positive Workplace Culture: Experience a professional yet enjoyable atmosphere, where hard work is valued alongside a sense of humor and camaraderie, fostering a fulfilling work environment.

About Benjamin

Benjamin is reshaping the future of cash rewards with a simple idea: everyday actions should earn you cash. Whether you’re making a purchase, playing a mobile game, or watching an ad, you get rewarded with Benjamin Money Moments. It’s that simple.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.