Infogain is a human-centered digital platform and software engineering company headquartered in Silicon Valley. We specialize in engineering business outcomes for Fortune 500 companies and digital natives across various industries, including technology, healthcare, insurance, travel, telecom, and retail & CPG. Leveraging advanced technologies such as cloud, microservices, automation, IoT, and artificial intelligence, we drive experience-led transformation in digital platform delivery. As a Microsoft Gold Partner and Azure Expert Managed Services Provider (MSP), Infogain is committed to delivering innovative solutions that empower our clients. We operate globally with offices in California, Washington, Texas, the UK, the UAE, and Singapore, and delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.
Roles & Responsibilities
- Develop and implement complex data models and machine learning algorithms to solve business problems.
- Utilize advanced statistical and probability theory to analyze and interpret data.
- Design and build data visualizations using tools such as Tableau or PowerBI to communicate insights effectively.
- Perform data cleaning and preprocessing to ensure data quality and integrity.
- Collaborate with cross-functional teams to integrate data science solutions into business processes.
- Analyze large datasets using Python, R, or SQL to uncover trends and patterns that drive strategic decision-making.
- Stay updated with the latest advancements in data science, AI, and machine learning technologies.
Core Skills
- Expert knowledge of statistics and probability theory.
- Proficiency in at least one programming language such as Python, R, or SQL.
- Advanced experience with data visualization tools, including Tableau and PowerBI.
- Expert understanding of machine learning algorithms and models.
- Advanced knowledge of data cleaning and preprocessing techniques.
- Proven ability to analyze and interpret data to derive actionable insights.
Experience
- 6-8 years of experience in data science and related fields.
Skills
- Primary Skill. Data Science
- Sub Skills. Data Science
- Additional Skills. Python, Big Data, AI/ML Development, Data Science, Python (Data Science), PySpark