Data Science Analyst Standard

Roles & Responsibilities

• Develop and implement machine learning models to address business problems.
• Perform data preprocessing, feature engineering, and model evaluation using Python.
• Support AI/ML solution development for use cases such as prediction, classification, clustering, or NLP.
• Collaborate with teams to understand requirements and deliver actionable insights.
• Document and present findings to both technical and non-technical stakeholders.
• Solid understanding of data science concepts, statistics, and algorithms.
• Experience with machine learning and AI techniques including regression, classification, clustering, etc.
• Proficiency in Python and libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Ability to work with structured and semi-structured data.
• Strong analytical and problem-solving skills.
  
  

Experience

• 3-4.5 Years
  
  

Skills

• Primary Skill: Data Science
• Sub Skill(s): Data Science
• Additional Skill(s): Python, AI/ML Development, Data Science
  
  

About 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. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

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