Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Data Science Analyst (Senior) @ Infogain

Home > Data Science & Machine Learning

 Data Science Analyst (Senior)

Job Description

- Strong understanding of ML algorithms (regression, classification, clustering) with the ability to independently develop and scale models using Python.
- Experience in commercial analytics with a knack for translating business problems into analytical solutions and strategic recommendations.
- Proficient in Power BI to build intuitive dashboards and deliver insights in a clear, actionable format.
- Strong storytelling and communication skills to convey complex analytical findings to both technical and non-technical audiences.
- Demonstrates ownership and leadership, driving projects from idea to impact with minimal supervision.
SKILLS
  • Primary Skill: Data Science
  • Sub Skill(s): Data Science
  • Additional Skill(s): Python, Data Science

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Infogain
Location(s): Noida, Gurugram

+ View Contactajax loader


Keyskills:   Analyst Translation data science Analytical power bi Analytics Supervision Python

 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

Lead Azure Data Engineer

  • Blend360 India
  • 7 - 12 years
  • Hyderabad
  • 1 day ago
₹ Not Disclosed

Aws Data Engineer

  • Kiya.ai
  • 5 - 7 years
  • Kolkata
  • 3 days ago
₹ .5-6 Lacs P.A.

Data Scientist

  • vhr Professional
  • 2 - 7 years
  • Singapore
  • 4 days ago
₹ 1-1.25 Cr P.A.

Lead Data Science Specialist ( Immediate Joiner )

  • CDM Smith
  • 9 - 14 years
  • Chennai
  • 4 days ago
₹ Not Disclosed

Infogain

A global digital engineering company delivering technology solutions that accelerate business outcomes. It specializes in cloud, data, AI, and experience-led transformation for enterprises across industries.