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SeniorFull-timePythonAWSMachine LearningData ScienceTensorFlowPyTorchData
Salary Range
$104,975 - $142,025 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join our Subscriptions and Payments Team at JioStar, India's largest subscription platform. This role involves designing and deploying machine learning models to drive subscription growth through D2C and B2B/partner channels.
Key Responsibilities
- →Analyze large-scale user behavior and metadata to uncover actionable insights and build impactful models
- →Design, develop, and deploy models and analytical pipelines for user segmentation, behavior prediction, churn analysis, and causal inference
- →Integrate models into production systems ensuring low-latency, high-accuracy performance at scale
- →Collaborate with engineers, product managers, designers, and data scientists to define interest graph & user preferences goals
- →Develop robust A/B test frameworks, analyze experiments, and drive iteration based on performance and user engagement
- →Actively monitor model performance, detect data drift, and refine strategies to improve long-term quality
- →Leverage LLMs and embeddings to improve personalization for user data
- →Present technical strategies and results to cross-functional stakeholders and leadership
Requirements
- ✓Proven experience in data science and machine learning, preferably in subscription/payments or related industries
- ✓Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)
- ✓Expertise in building and deploying machine learning models into production systems
- ✓Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)
- ✓Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques
- ✓Comfortable leveraging LLMs and internals
- ✓Strong problem-solving skills with the ability to translate business problems into data science solutions
- ✓Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders
- ✓Preferred education and experience
- ✓Bachelors/Masters in Data Science, Statistics, Computer Science, Mathematics, or a related field with 4-7 years of experience in data science
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