Data Scientist
Job Summary
Job Description
SixerSixer is seeking a Data Scientist with 2-3 years of experience to conduct exploratory data analysis (EDA), build predictive models (e.g., customer segmentation, churn forecasting), and create ad hoc reports. This role involves collaborating with marketing, product, and operations teams to extract insights from diverse datasets, identify trends, and guide strategic decisions. The successful candidate will have a strong foundation in statistics and machine learning, proficiency in Python, SQL, and AWS SageMaker, and experience with model deployment. The position offers the chance to shape the future of finance and gaming in a rapidly expanding company with flexible working hours and competitive compensation.
Must have:
- 2-3 years data science experience
- Strong statistics & ML foundation
- Python, SQL, AWS SageMaker
- EDA, model building & deployment
- Data preparation & querying
- Collaboration & communication
Good to have:
- Econometrics knowledge
- Finance/sports analytics experience
- MLOps understanding
Perks:
- Competitive compensation
- Flexible working hours
- Career growth opportunities
10 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’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.
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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