Data Science Analyst

Gurugram, Haryana, India
Oct 23, 2024
Oct 23, 2025
Onsite
Full-Time
5 Years
Job Description

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 sectors, including technology, healthcare, insurance, travel, telecom, and retail & CPG. Leveraging cutting-edge technologies such as cloud computing, microservices, automation, IoT, and artificial intelligence, we drive experience-led transformation in digital platform delivery. As a proud Microsoft Gold Partner and Azure Expert Managed Services Provider (MSP), we are committed to innovation and excellence.

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, we are poised for growth and impact.

Experience. 4.5 - 6 Years

Roles & Responsibilities

  • Analyze complex data sets to derive meaningful insights that drive business decisions.
  • Develop and implement statistical models and machine learning algorithms to solve specific business problems.
  • Collaborate with cross-functional teams to understand data requirements and deliver actionable solutions.
  • Visualize data findings using tools like Tableau or PowerBI to effectively communicate insights to stakeholders.
  • Perform data cleaning and preprocessing to ensure high-quality data for analysis.
  • Stay updated with industry trends and advancements in data science to continuously enhance methodologies and practices.

Core Skills

  1. Strong knowledge of statistics and probability theory. Ability to apply statistical methods to analyze data and interpret results.
  2. Programming proficiency. Experience in at least one programming language such as Python, R, or SQL.
  3. Data visualization expertise. Familiarity with tools such as Tableau or PowerBI to present data insights clearly and effectively.
  4. Machine learning understanding. Knowledge of various machine learning algorithms and their applications.
  5. Data cleaning and preprocessing techniques. Skills in preparing and transforming raw data into a usable format.
  6. Analytical skills. Ability to interpret complex data and provide insights that inform business strategy.

Required Skills

  1. Primary Skill. Data Science
  2. Sub-Skill(s). Data Science
  3. Additional Skill(s). Python, Data Science, Analytics Development

If you are passionate about data science and eager to contribute to transformative projects that make a difference, we invite you to join our team at Infogain. Together, we can engineer innovative solutions that shape the future.