Match score not available

Data Scientist

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Anywhere

Offer summary

Qualifications:

Bachelor's degree in Statistics or related field, Advanced programming skills in Python and SQL, Experience with A/B testing and experiment design, Proficiency in data visualization tools like Tableau, Understanding of player behavior analysis.

Key responsabilities:

Design and implement machine learning techniques
Liaise between Marketing, Game Dev, and Data teams
Build framework for Marketing user acquisition strategies
Collaborate with teams to provide predictive analytics
Develop optimization strategies for game economics

Big Time Studios Startup https://bigtime.gg/

11 - 50 Employees

See more Big Time Studios offers

Job description

ABOUT US

Big Time is a Player vs. Environment action RPG game combining adventure with a player-driven economy. Big Time Studios also built Open Loot, a web3 gaming platform and marketplace to solve crypto UX, scalability, distribution, payments, and compliance. With a focus on quality midcore to hardcore games, our five initial launch partner studios go live starting in mid-2024.

THE MISSION

The Big Time Analytics team is looking to hire one Data Scientist to analyze large datasets and derive actionable insights that will drive the success of our video game products. You will work closely with our development, marketing, and product teams to understand player behavior, optimize game performance, and enhance the overall player experience.

RESPONSIBILITIES

Design, develop, and implement machine learning techniques—Supervised, Unsupervised, and Reinforcement Learning models—to optimize player retention, enhance conversion rates, and deliver more engaging gameplay experiences.

Serve as the primary liaison between Marketing, Game Economy, Game Development, and Data Engineering teams, functioning as a product manager to oversee the creation of tailored datasets that address key analytical questions and drive decision-making.

Build and implement a robust framework for the Marketing team, leveraging SQL and predictive analytics to optimize user acquisition strategies and marketing spend.

Establish close collaboration with Game Development and Game Economy teams to provide predictive, actionable analytics that shape game design, feature improvements, and economic strategies.

Develop and implement optimization strategies for game currency Sinks and Sources to ensure sustainable in-game economic growth, including conducting simulations prior to launch to forecast potential impacts.

Lead the creation of intuitive dashboards and reporting tools that provide real-time monitoring of in-game economic systems and player engagement metrics.

Qualifications

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

Advanced programming skills in Python and SQL, with hands-on experience using data science libraries (e.g., Pandas, NumPy, scikit-learn).

Proven ability to translate complex data insights into clear, actionable strategies for business and technical teams.

Experience with A/B testing, experiment design, and causal inference to evaluate the impact of game features and marketing campaigns.

Proficiency with data visualization tools like Tableau, Looker, or Power BI to create dynamic visual representations of data trends.

Strong understanding of player behavior analysis, including player segmentation, churn prediction, and lifetime value (LTV) modeling.

Exceptional communication and presentation skills, with the ability to convey technical insights to both technical and non-technical stakeholders.

Crypto or web3 development experience preferred.

WHAT WE OFFER

Fully remote work, with a yearly company offsite

Experience working with gaming veterans who’ve created titles with a gross aggregate revenue of over $10B USD