Associate Data Scientist

• PF and Gratuity included
• On client's payroll
  

About Our Client

The Successful Applicant

• Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
• Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience
• 1 - 3 years for Data Scientist
• Relevant working experience in a data science/advanced analytics role Behavioural Skills
• Delivery Excellence
• Business disposition
• Social intelligence
• Innovation and agility Knowledge
• Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)
• Statistical modelling using Analytical tools (R, Python, KNIME, etc.)*Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)
• Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.
• Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)
• Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)
• Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
• Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
• Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
• * Microsoft Office applications (MS Excel, etc.)
  

• Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
• Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience
• 1 - 3 years for Data Scientist
• Relevant working experience in a data science/advanced analytics role Behavioural Skills
• Delivery Excellence
• Business disposition
• Social intelligence
• Innovation and agility Knowledge
• Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)
• Statistical modelling using Analytical tools (R, Python, KNIME, etc.)*Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)
• Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.
• Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)
• Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)
• Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
• Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
• Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
• Microsoft Office applications (MS Excel, etc.)
  

What's On Offer

• Temporary position with the possibility of exposure to impactful projects.
• Opportunity to work in Gurugram, a hub for technology and innovation.
• Collaborative and technology-focused work environment.
• Comprehensive training and support to excel in the role.
  

Contact: Anwesha Banerjee

Quote job ref: JN-102025-6850496