Senior Data Scientist - Viewer experience
Team: Data Science & Analytics
Location: Bengaluru
Commitment: Full Time
Workplace Type: onsite
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 to generate actionable user insights
- 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 and drive feature impact across user journeys
- 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 missing user data for new users, and existing
- Present technical strategies and results to cross-functional stakeholders and leadership.
SKILLS & ATTRIBUTES FOR SUCCESS:
- Proven experience in data science and machine learning, preferably in personalization, recommendation systems, or user insights and behavior analysis
- 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
- Should be 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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