Data Scientist
Mumbai
Dream Sports
Dream Sports is one of India's top sports tech conglomerates with brands such as Dream11, FanCode, DreamSetGo and KheloMore in its portfolio.
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 OverviewWe’re seeking a Data Scientist with 1–3 years of experience who excels at both exploratory analysis and model development. You’ll collaborate with cross-functional teams—such as marketing, product, and operations—to conduct ad hoc analyses, uncover insights through EDA, and occasionally build production-ready models.
Role OverviewWe’re seeking a Data Scientist with 1–3 years of experience who excels at both exploratory analysis and model development. You’ll collaborate with cross-functional teams—such as marketing, product, and operations—to conduct ad hoc analyses, uncover insights through EDA, and occasionally build production-ready models.
Key Responsibilities
- Data Exploration & Analysis: Investigate diverse datasets to extract insights, spot trends, and guide strategic decisions.
- Ad Hoc Reporting: Deliver quick-turnaround analyses and reports to address immediate business questions.
- Model Development & Deployment: When needed, design predictive models (e.g., customer segmentation, churn forecasting) and oversee their deployment.
- Collaboration & Communication: Work closely with stakeholders to interpret findings, recommend actions, and present results in clear, actionable terms.
Qualifications
- At least 2-3 years of experience in data science or machine learning roles.
- Strong foundation in statistics and machine learning.
- Data Stack: Python, Jupyter Notebook, Redshift, AWS SageMaker, Metabase
- Comfortable with SQL and data preparation/querying.Understanding MLOps and model deployment.
- Interest or experience in finance and/or sports analytics.
- Bonus: Knowledge of econometrics.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Data Science Jobs
Tags: AWS Econometrics EDA Finance Jupyter Machine Learning Metabase ML models MLOps Model deployment Python Redshift SageMaker SQL Statistics
Perks/benefits: Career development Competitive pay Flex hours
Region:
Asia/Pacific
Country:
India
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