Bachelor s degree in computer science or a related field OR master s degree in statistics, economics, business economics, econometrics, or operations research.
5-10 years of experience in the Analytics/Data Science domain.
Experience with Generative AI techniques and tools.
Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.
Familiarity with AWS cloud platform and AI/ML services.
Knowledge of databases and associated tools such as SQL.
Technical Skills Desirable:
Expertise in Deep learning, Segmentation, Classification and Ensemble techniques
Multi-agent frameworks, and Evaluation frameworks.
Proficiency in programming languages such as Python.
Technical Skills Good to Have:
Agentic AI
API development
Deployment of Data science and GenAI applications
Exposure to Big Data technologies like Spark.
Specific Responsibilities
Requirement Gathering:
Translate business requirements into actionable analytical plans.
Ensure alignment with the customer s strategic objectives.
Data Handling:
Identify appropriate data sources to address business problems.
Resolve data discrepancies, including ETL tasks, missing values, and outliers.
Development and Execution:
Deliver projects and POC initiatives from inception to completion.
Develop and refine technical and analytics architecture.
Implement scalable analytical frameworks and data pipelines.
Coordinate with cross-functional teams.
Deliver production-ready models and solutions.
Monitor success metrics and ensure high-quality output.
EXPERIENCE
Keyskills: deep learning Operations research data science Data modeling Analytical Programming big data Analytics SQL Python
Infogain is a Silicon Valley headquartered company with software platform engineering and deep domain expertise in the travel, retail, insurance and high technology industries. We accelerate the delivery of digital customer engagement systems using digital technologies such as cloud, mic...