Data Scientist
Job Summary
Job Description
SixerSixer seeks a Data Scientist specializing in product and customer analytics. Responsibilities include analyzing user behavior, developing predictive models (churn, LTV, segmentation, recommendations), creating data-driven reports, deploying models via AWS SageMaker, and presenting insights to both technical and non-technical audiences. The role involves collaboration with Marketing, Product, and Operations teams and may include sports analytics or dashboarding tasks. A strong foundation in machine learning and statistics, along with experience in customer analytics, is essential.
Must have:
- Python, SQL, AWS SageMaker
- Machine learning, statistical analysis
- Churn prediction, LTV modeling
- Data analysis, reporting, insights
Good to have:
- Econometrics
- Sports analytics
- Metabase, Redshift
Perks:
- Competitive compensation
- Flexible working hours
- Career growth opportunities
9 skills required
Job Details
About Sixer
Sixer is an innovative online platform that enables cricket fans to experience the excitement of trading cricket players. By tracking player performance, our revolutionary fantasy game allows you to build a portfolio of players and watch as their value fluctuates based on their on-field success. Sixer is transforming fan engagement and redefining how cricket is enjoyed with its interactive and thrilling ecosystem.
Join Sixer today and experience the thrill of a fantasy sports market like never before!
For more information: https://sixergame.com/
Role Overview
We are looking for a Data Scientist specializing in product and customer analytics. The ideal candidate has a strong foundation in machine learning and statistics, with experience applying these skills to solve business problems such as churn prediction, customer lifetime value (LTV) modeling, bonusing optimization, and customer journey analysis. While your primary focus will be product analytics, you should be comfortable stepping into other data science or analytics tasks, e.g. sports analytics or dashboarding.
Key Responsibilities
- Data Analysis & Insights: Analyze user behaviour and product interactions to uncover trends and actionable insights. Collaborate with Marketing, Product, and Operations teams to design experiments and interpret results.
- Predictive Modeling: Develop and optimize models for churn prediction, LTV, customer segmentation, and recommendations. Define success metrics and performance benchmarks with stakeholders.
- Reporting: Provide quick, data-driven reports to support strategic and operational decisions.
- Model Development & Deployment: Train, validate, and deploy models using AWS SageMaker or similar platforms. Ensure seamless integration and continuous performance monitoring.
- Communication: Present insights in a clear, impactful manner for both technical and non-technical audiences. Work with data engineers to enhance pipelines and maintain data quality.
- Cross-Domain Support: Apply analytical expertise to sports analytics or other evolving projects as needed.
Qualifications
- 2–3 years in a data science or machine learning role, preferably with exposure to customer analytics.
- Data Stack: Python, Jupyter Notebook, Redshift, AWS SageMaker, Metabase
- Solid understanding of supervised/unsupervised learning, feature engineering, and model evaluation.
- Proficient in statistical analysis, hypothesis testing, and experiment design.
- Comfortable with SQL and data preparation/querying.
- Understanding MLOps and model deployment.
- Strong ability to translate complex findings into actionable insights for stakeholders.
- Interest or experience in finance and/or sports analytics.
- Bonus: Knowledge of econometrics.
Working at Sixer
At Sixer, you can be a part of shaping the future of finance and gaming, which is a pioneering feat in the industry. You will encounter fast-paced, challenging and exceptional problems that require your expertise. Our organization follows a flat structure with an international work environment that fosters a collaborative spirit. Working with us presents excellent opportunities for career growth in a rapidly expanding company, and we offer competitive compensation packages. We also provide flexible working hours to ensure a work-life balance.
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About The Company
Dream Sports is India’s leading sports technology company with 20 crore users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform, DreamSetGo, a sports experiences platform and DreamPay, a payment solutions provider. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’.
Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ mission is to ‘Make Sports Better’ for fans through the confluence of sports and technology. Since 2018, Dream Sports has been consistently featured as the only sports tech company in the ‘Great Places to Work’ survey.
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