Lead Data Scientist Job in Mastercard at Other
- Mastercard
- 3 to 7 Yrs
- Other Maharashtra
- 3 months ago
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Job Description
- Job Title: Lead Data Scientist Overview: Overview Our team within Mastercard: The New Product Engineering team within Data and Services is engineering the transformation of new ideas into software solutions to test in the market, and then growing and scaling products to meet long-term demand and needs. We achieve this with a "move fast, learn fast" mindset, relentless focus on customer excellence, and a culture of collaboration and empowerment. Our solutions are instrumental in positioning Mastercard as a data & services market leader. Role and Summary Data Scientist 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. 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 Develop highly scalable and efficient data pipelines to automate data ingestion and end-to-end data movement Oversee implementation of models Evaluate production models based on business metrics to drive continuous improvement Essential Skills: Data engineering and data science experience Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark. Familiar with data pipeline technologies and best practices with industry leading platforms such as Apache NiFi, Airflow or equivalent Good knowledge of Linux / Bash environment Python and one of the following machine learning libraries Spark ML TensorFlow Scikit Learn 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. 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 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 ,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: DBA / Datawarehousing
Functional Area: Not Specified
Role/Responsibilies: Lead Data Scientist Job in Mastercard at Other
Contact Details:
Company: MastercardLocation(s): Other Maharashtra
Keyskills: Data engineering Data science SQL PostgreSQL Hadoop Spark Airflow Linux Bash Python Communication skills Problem solving TensorFlow Scikit Learn
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Mastercard
As a technology company in the global payments business, we operate the world’s fastest payments processing network, connecting consumers, financial institutions, merchants, governments and businesses in more than 210 countries and territories. Mastercard’s products and solutions ...
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