Lead Data Scientist

Mastercard

9 - 12 years

27 - 37 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

python machine learning sql data science software engineering data analysis scikit-learn microsoft azure data engineering artificial intelligence deep learning data quality postgresql spark linux scrum bash hadoop agile aws xgboost ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role and Summary

The Data Scientist in Data & Services New Product Engineering team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I ) and Machine Learning (M.L) models that sit atop large datasets of business and finance operations gathered by mid to large companies
The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring
Essential Skills:
Overall career experience of 9-12 years in Software Engineering Excellent Experience in Data Science Experience in Data Engineering is good to have Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark
Good knowledge of Linux / Bash environment Python and one of the following machine learning librarieso Spark MLo TensorFlowo Scikit Learno XGBoost
Good communication skills Highly skilled problem solver Exhibits a high degree of initiative At least an undergraduate degree in CS, or a STEM related field
As a Data Scientist, you will: Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling Generate and maintain and optimize data pipelines for model building and model performance evaluation Develop, test, and evaluate modern machine learning and A.I
models Oversee implementation of models Evaluate production models based on business metrics to drive continuous improvement.
Nice to have: Bachelors or Masters in CS, Data Science, ML/AI, or a related STEM field Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error Databricks Loves working with error-prone, messy, disparate, unstructured data Experience in working with Cloud (e.g, Azure, AWS) Experience participating in complex engineering projects in an Agile setting e.g Scrum..

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