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Lead Data Science
1 month ago
Job Title: Lead Data Science (AWS/Azure Data bricks Experience, Python)
Year of Experience: 8+ Years of Experience
Lead Data Scientist responsibilities include managing the data science team, planning projects and building analytics models.
You should have a strong problem-solving ability and a knack for statistical analysis.
If you are also able to align our data products with our business goals, we would like to meet you.
Responsibilities
Manage a team of data scientists, machine learning engineers and big data specialists
Lead data mining and collection procedures
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Create and manage data pipeline on cloud platforms Azure, AWS , GCP
Ensure data quality and integrity
Interpret and analyze data problems
Conceive, plan and prioritize data projects
Build analytic systems and predictive models
Test performance of data-driven products
Visualize data and create reports
Experiment with new models and techniques
Align data projects with organizational goals
Requirements and skills
Proven experience as a Data Scientist or similar role with relevant experience of at least 5+ years and total experience 8-10 years.
Technical expertise regarding data lake, lakehouse, data models, database design development, data mining and segmentation techniques.
Familar with Databricks concepts like Delta Lake, delta tables etc.
Hands on experience of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.) and experience with applications.
Experience querying databases and using statistical computer languages: Python, SQL, Matlab etc.
Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks
Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features
Hands on experience in data visualization tools – Power BI preferred
Solid understanding of machine learning
Knowledge of data management and visualization techniques
A knack for statistical analysis and predictive modeling
Experience with SQL and NoSQL databases including ability to write complex queries and procedures
Strong organizational and leadership skills
Excellent communication skills
A business mindset
Education
Degree in Computer Science, Data Science, Mathematics or similar field
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.”
