Data Scientist ML 2025PX02007 MCFE-005MCAF-24704
Data Scientist ML 2025PX02007 MCFE-005MCAF-24704
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Job Description
Job Summary
The client is seeking a Senior Data Scientist to play a pivotal role in shaping the future of our consumer journey through cuttingedge Machine Learning (ML) solutions for pricing and recommendations. This role provides datadriven insights and rigorous experimentation enabling endtoend support for machine learning initiatives. The ideal candidate will excel in statistical analysis experiment design and data science workflows while supporting ML Scientists in building robust models and analyzing their performance.
Job Responsibilities
Conceptualize design and implement stateoftheart ML models for dynamic pricing strategies and personalized product recommendations.
Develop implement and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products.
Engineer and maintain largescale consumer behavioral feature stores while ensuring scalability and performance.
Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
Collaborate with crossfunctional teams (Marketing Product Sales) to ensure your solutions align with strategic objectives and deliver realworld impact.
Create algorithms for optimizing consumer journeys and increasing conversion and monetization.
Design analyze and troubleshoot controlled experiments (Causal A/B tests Multivariate tests) to validate your solutions and measure their effectiveness.
Essential Skills
5 years in data science role supporting ML projects and experimentation.
Strong understanding of statistical methods experiment design and causal inference techniques.
Proficiency in Python for data manipulation & machine learning (Pandas NumPy scikitlearn).
Intermediate skills in SQL for data querying including Window Functions Joins and Group By
Familiarity with classical ML techniques like Classification Regression and Clustering using algorithms like XGBoost Random Forest and KMeans.
Experience with data visualization platforms (e.g. Tableau Power BI Matplotlib or Seaborn).
Proficiency in designing and analyzing A/B and multivariate experiments focusing on drawing actionable insights.
Experience working with large complex datasets including preprocessing feature engineering and encoding techniques.
Nice to Haves
Background Check required
No criminal record
Others
Work Timing: Regular Hours Monday to Friday 9am to 5pm
Work Timezone: Global Timezone (GMT 0530) India Standard Time Kolkata (IST)
Reporting Location: Bengaluru
Hours per Week: 40
Python SQL scikit-learn Keras TensorFlow PyTorch
Employment Type
Full Time
