• Masters/PhD in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
• 10+ years of industry experience in predictive modelling, recommender systems and data analysis
• Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc
• Previous experience, preferably in product company, in a ML or data scientist role and a track record of building ML or DL models
• Experience using Python and ML libraries, such as scikit-learn, pandas, numpy, scipy
• Experience handling terabyte size structured and unstructured datasets using distributed frameworks such as Spark, Hive
• Familiarity with using data visualization tools
• Experience working with GPUs to develop deep learning models
• Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• Along with product managers, own the business outcomes/metrics which the data science model/algorithm drives
• Strong written and verbal communication skills
• Bonus Points for Knowledge of Graph Networks
• Bonus Points for Experience with A/B testing
• Masters/PhD in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
• 10+ years of industry experience in predictive modelling, recommender systems and data analysis
• Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc
• Previous experience, preferably in product company, in a ML or data scientist role and a track record of building ML or DL models
• Experience using Python and ML libraries, such as scikit-learn, pandas, numpy, scipy
• Experience handling terabyte size structured and unstructured datasets using distributed frameworks such as Spark, Hive
• Familiarity with using data visualization tools
• Experience working with GPUs to develop deep learning models
• Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• Along with product managers, own the business outcomes/metrics which the data science model/algorithm drives
• Strong written and verbal communication skills
• Bonus Points for Knowledge of Graph Networks
• Bonus Points for Experience with A/B testing

All Departments

1

Bangalore, Karnataka, India

Phd

10 to 16 Years