• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Jan 2026

Responsibilities

• Leverage data science and machine learning technology to build algorithms, statistical models and analytical solutions
• Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools.
• Design & implement interactive dashboards and reports. Build visualizations of data model performance and results.
• Actively engage, network, collaborate with internal teams to deliver data driven solutions.

Essential Background

• 5+ years of professional hands-on work experience in data science, statistical modeling, data engineering, and predictive analytics assignments
• A Bachelors degree in Data Analytics, Math, Statistics, Computer Science, or related fields with an emphasis on data analysis
• Innovative and creative in data analysis, problem solving and presentation of solutions.
• Good verbal, writing & presentation skills
• Ability to establish effective cross-functional partnerships and relationships at all levels in a highly collaborative environment
• Strong experience in handling multi-national client engagement

Essential Qualifications &Technical Skills

• Understanding of significance testing, sampling, descriptive statistics& multivariate statistics
• Hands-on experience building out reports on Visualization tools (any of) Tableau, Qlik, Power BI.
• Multivariate techniques & predictive modeling cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
• Large scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
• Building data analytics models using Python, ML libraries, Jupyter/Anaconda
• Hands-on experience in exploring data& writing analytics algorithms in Python/R
• Knowledge of MS Azure Suite - Azure ML Studio, Azure Data Factory, PowerBI/PowerApps