Infogain Corp
Data Science Analyst (Senior)
Infogain Corp, Houston, Texas, United States, 77246
Data Science Analyst (Senior) with skills Data Science, Python, GenAI Fundamentals for location Gurugram, India
Qualifications:Bachelor’s degree in computer science or a related field OR master’s degree in statistics, economics, business economics, econometrics, or operations research.6-8 years of experience in the Analytics/Data Science domain.Proficiency in programming languages such as Python.Experience with Generative AI techniques and tools.Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services.Knowledge of databases and associated tools such as SQL.Technical Skills – Desirable:Expertise in NLP and Generative AI concepts/methods/techniques.Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP).Exposure to Big Data technologies like Hadoop, Hive, Spark.Experience with advanced reporting tools such as Tableau, Qlikview, or PowerBI.Specific Responsibilities:Requirement Gathering:Translate business requirements into actionable analytical plans in collaboration with the team.Ensure alignment of analytical plans with the customer’s strategic objectives.Identify and leverage appropriate data sources to address business problems.Explore, diagnose, and resolve data discrepancies including ETL tasks, missing values, and outliers.Development and Execution:Individually deliver projects, proof-of-concept (POC) initiatives from inception to completion.Contribute to the development and refinement of technical and analytics architecture, ensuring it aligns with project and organizational goals.Implement scalable and robust analytical frameworks and data pipelines to support advanced analytics and machine learning applications.Coordinate with cross-functional teams to achieve project goals.Deliver production-ready models and solutions, meeting quality and performance standards.Monitor success metrics to ensure high-quality output and make necessary adjustments.Create and maintain documentation/reports.Innovation and Best Practices:Stay informed about new trends in Generative AI and integrate relevant advancements into our solutions.Implement novel applications of Generative AI algorithms and techniques in Python.Sample Projects:GenAI-powered self-serve analytics solution for a global technology giant.GenAI bot for querying on textual documents of a multinational dairy company.GenAI bot for querying on tabular dataset of leading global event agency.GenAI-powered advanced information retrieval from structured data of a global technology leading organization.TimesFM modelling for advanced time series forecasting for a global retail chain.Knowledge-Graph-based GenAI solution for knowledge retrieval and semantic summarization.GenAI-powered shopping assistant solution for big-box warehouse club retail stores.GenAI solution using multi-agentic framework for travel-hospitality use case.Development and implementation of evaluation frameworks for GenAI solutions/applications.EXPERIENCE:6-8 YearsSKILLS:Primary Skill: Data ScienceAdditional Skill(s): Data Science, Python, GenAI FundamentalsABOUT THE COMPANY:Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence.
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Qualifications:Bachelor’s degree in computer science or a related field OR master’s degree in statistics, economics, business economics, econometrics, or operations research.6-8 years of experience in the Analytics/Data Science domain.Proficiency in programming languages such as Python.Experience with Generative AI techniques and tools.Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services.Knowledge of databases and associated tools such as SQL.Technical Skills – Desirable:Expertise in NLP and Generative AI concepts/methods/techniques.Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP).Exposure to Big Data technologies like Hadoop, Hive, Spark.Experience with advanced reporting tools such as Tableau, Qlikview, or PowerBI.Specific Responsibilities:Requirement Gathering:Translate business requirements into actionable analytical plans in collaboration with the team.Ensure alignment of analytical plans with the customer’s strategic objectives.Identify and leverage appropriate data sources to address business problems.Explore, diagnose, and resolve data discrepancies including ETL tasks, missing values, and outliers.Development and Execution:Individually deliver projects, proof-of-concept (POC) initiatives from inception to completion.Contribute to the development and refinement of technical and analytics architecture, ensuring it aligns with project and organizational goals.Implement scalable and robust analytical frameworks and data pipelines to support advanced analytics and machine learning applications.Coordinate with cross-functional teams to achieve project goals.Deliver production-ready models and solutions, meeting quality and performance standards.Monitor success metrics to ensure high-quality output and make necessary adjustments.Create and maintain documentation/reports.Innovation and Best Practices:Stay informed about new trends in Generative AI and integrate relevant advancements into our solutions.Implement novel applications of Generative AI algorithms and techniques in Python.Sample Projects:GenAI-powered self-serve analytics solution for a global technology giant.GenAI bot for querying on textual documents of a multinational dairy company.GenAI bot for querying on tabular dataset of leading global event agency.GenAI-powered advanced information retrieval from structured data of a global technology leading organization.TimesFM modelling for advanced time series forecasting for a global retail chain.Knowledge-Graph-based GenAI solution for knowledge retrieval and semantic summarization.GenAI-powered shopping assistant solution for big-box warehouse club retail stores.GenAI solution using multi-agentic framework for travel-hospitality use case.Development and implementation of evaluation frameworks for GenAI solutions/applications.EXPERIENCE:6-8 YearsSKILLS:Primary Skill: Data ScienceAdditional Skill(s): Data Science, Python, GenAI FundamentalsABOUT THE COMPANY:Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence.
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