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

Employer? Claim Account for FREE

Mars International India

Compare

4.2

based on 392 Reviews

Video summary

14 Mars International India Jobs

Senior ML Lead

Mars

4.2

based on 392 Reviews

4-7 years

Gurgaon / Gurugram

1 vacancy

Senior ML Lead

Mars International India

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Machine Learning Product Management Analytical Chemistry Incident Management Data Mining

+ 3 more

Job Description

Job Description:

Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence.

Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business.

The Sr. ML Lead will be the principal solution architect within Mars Snacking with the responsibility of making sure that each application is designed keeping in mind the AI strategy for Mars Snacking.

This position will also be responsible to guide and mentor the more junior members of the Data Science community.

What are we looking for

7+ years of experience working in a quantitative role preferably in the CPG, or retail industry.
4+ years of experience managing a team of data scientists, product analysts or data analysts
Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively.
Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions.
Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team
An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization
A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use
Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities.
Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.
Ability to translate business needs into analytical frameworks superior verbal and written communication skills
Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically
Working understanding of ML Ops and DevOps frameworks
Familiarity with Microsoft Azure tech stack, including but not limited to Azure Data Factory, Synapse Analytics, Databricks, GCP

What will be your key responsibilities

Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services
Design, architect and review technical architecture of data science solutions
Plan and lead data science projects that cover a diverse range of business problems
Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design
Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic
Use machine learning techniques, visualizations, statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself
Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent
Contribute to a high performing data science function
Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
Performance Monitoring : Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management.
Solution ideation and Development : Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies.
Focus on setting up a Data Science AI program and delivery methodology : Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery

What can you expect from Mars

Work with diverse and talented Associates, all guided by the Five Principles.
Join a purpose driven company, where we re striving to build the world we want tomorrow, today.
Best-in-class learning and development support from day one, including access to our in-house Mars University.
An industry competitive salary and benefits package, including company bonus.

#TBDDT

Employment Type: Full Time, Permanent

Read full job description

Prepare for Senio roles with real interview advice