Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Engaged Employer

LTIMindtree

Compare

3.8

based on 21k Reviews

152 LTIMindtree Jobs

Data Scientist

Mindtree Limited

3.8

based on 21k Reviews

8-13 years

Pune

1 vacancy

Data Scientist

LTIMindtree

posted 15hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Python SQL Automation Testing Project Management SAP Business Intelligence

+ 2 more

Job Description

Design implement and update media mix models to find the optimal investment mix across marketing channels

Interpret and translate findings from the MMM into actionable business insights

Work closely with other data scientists and business intelligence analysts to create deep dive analyses to address questions from stakeholders

Support regular shareouts by creating visualizations and delivering presentations as needed

Build and deploy endtoend ML pipelines that can handle largescale data efficiently

Continuously monitor model performance in production via automation and iterate to maintain relevance

Experiment with novel methods to improve MMM accuracy and interpretability

Validate models through backtesting and evaluation of observed data

Deliver data insights at the appropriate level of detail and perform fast followup to feedback

Qualifications

You Have

02 years experience in Data Science and ML Engineering

MS or PhD in StatisticsData ScienceComputer Science or related disciplines with specialization in machine learning techniques

Knowledge of both supervised and unsupervised machine learning techniques

Have full stack experience in data collection aggregation analysis visualization productionalization and monitoring of data science products

The ability to write robust code in Python and leverage associated machine learning packages

Experience using Jupyter Notebooks

Familiarity with a variety of statistical models and methods ie causal methods treebased algorithms time series analysis regression analysis

Communicate concisely and persuasively with engineers and product managers

Strong detail orientation with a penchant for data accuracy

Familiar with version control systems Git BitBucket

Must successfully pass a background check

You might also have

Experience using Google Cloud Platform BigQuery ML Engine and APIs

Experience using project management tools like those from Atlassian JIRA Confluence

Can wrangle data using SQL and Pandas

Background in NLP or text mining techniques is a plus

Background in deep learning and Tensorflow is a plus

Employment Type: Full Time, Permanent

Read full job description

LTIMindtree Interview Questions & Tips

Prepare for LTIMindtree Data Scientist roles with real interview advice

What people at LTIMindtree are saying

3.7

Rating based on 54 Data Scientist reviews

Anonymous · Data Science & Analytics in Pune

Likes

Some events that happens in the organization are good. Salary gets credited to account on time. No micro management. Some projects are good.

Skill development - Good

Dislikes

Job security is not very good. Hikes are terrible After merger of LTI and Mindtree, the leadership has introduced policies that are worst of both companies. I was expecting good things after merger. The company is not an employee friendly at all. They want future faster together. Now they want AI in everything but they are missing the important part which is employees.