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Senior Manager, Data Scientist

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Identify, prioritize, and deliver analytics, ML, optimization, and AI initiatives

  • Design predictive and optimization models for forecasting, inventory, and production planning

  • Translate business requirements into scalable data science solutions

  • Mentor data scientists, data engineers, and analytics professionals

  • Present insights and business cases to senior and executive leadership

From the employer’s posting
Lead the identification, prioritization, and execution of advanced analytics, machine learning, optimization, and AI initiatives
Design and oversee development of predictive, prescriptive, and optimization models that improve operational efficiency, forecasting accuracy, inventory management, production planning
translate business requirements into scalable data science solutions
Provide technical leadership and mentorship to Data Scientists, Data Engineers, Analytics professionals
Communicate analytical insights, recommendations, business cases, and project outcomes to senior leadership and executive stakeholders

What you’ll bring

All qualifications

Core experience

  • Master's degree in Data Science, Computer Science, Engineering, or Statistics
  • Demonstrated experience supporting Manufacturing, Digital Twin, Supply Chain, Demand Planning, Production Planning, Inventory Optimization, Procurement, or Product Formulation functions
  • Experience leading complex, cross-functional initiatives involving business stakeholders, technology teams, and executive leadership.
  • Experience translating ambiguous business challenges into analytical frameworks and actionable recommendations.
  • Experience with cloud-based analytical platforms and modern data ecosystems.
Qualification wording
Master's degree in Data Science, Computer Science, Engineering, or Statistics
Demonstrated experience supporting Manufacturing, Digital Twin, Supply Chain, Demand Planning, Production Planning, Inventory Optimization, Procurement, or Product Formulation functions
Experience leading complex, cross-functional initiatives involving business stakeholders, technology teams, and executive leadership.
Experience translating ambiguous business challenges into analytical frameworks and actionable recommendations.
Experience with cloud-based analytical platforms and modern data ecosystems.
Apply at Heinz

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 20263 days ago
Recorded sightings
4
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 57.

At Heinz, jobs usually come down by about day 21.

From 10,547 similar postings that came down, and 55 of Heinz’s. Coming down is not always a hire.

Heinz is hiring

32 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 13% of open jobs were reposted
Hiring record

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About Heinz

People
About 35,000 in 2025, down 3% from the year before.Annual report (SEC Form 10-K)
Company
Listed as KHC.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

Job Summary:

The Sr. Manager, Data Science - Operations serves as the strategic and technical leader responsible for driving data science, AI, optimization, and advanced analytics initiatives across Manufacturing, Supply Chain, Demand Planning, and Product Formulation functions. This role partners closely with business and technology leaders to identify opportunities, develop scalable analytical solutions, and translate complex business challenges into measurable operational and financial outcomes. Success in this role is demonstrated through delivering enterprise-wide value, accelerating data-driven decision making, and advancing Kraft Heinz's digital transformation agenda.

Responsibilities:

  • Lead the identification, prioritization, and execution of advanced analytics, machine learning, optimization, and AI initiatives across Manufacturing, Supply Chain, Demand Planning, and Formulation functions.
  • Partner with business stakeholders and operational leaders to understand strategic objectives, define analytical roadmaps, and translate business requirements into scalable data science solutions.
  • Provide technical leadership and mentorship to Data Scientists, Data Engineers, Analytics professionals, and cross-functional project teams without direct people management responsibilities.
  • Communicate analytical insights, recommendations, business cases, and project outcomes to senior leadership and executive stakeholders using clear, concise, and business-friendly language.
  • Design and oversee development of predictive, prescriptive, and optimization models that improve operational efficiency, forecasting accuracy, inventory management, production planning, and product development processes.
  • Champion best practices in data science, AI, model governance, experimentation, and responsible AI across the organization.
  • Evaluate emerging technologies, industry trends, and innovative analytical approaches to continuously improve business capabilities and competitive advantage.

Requirements:

  • Master's degree in Data Science, Computer Science, Engineering, or Statistics
  • Minimum 10 years of progressive experience in Data Science, Analytics, Operations Research, Machine Learning, or Advanced Analytics
  • Demonstrated experience supporting Manufacturing, Digital Twin, Supply Chain, Demand Planning, Production Planning, Inventory Optimization, Procurement, or Product Formulation functions
  • Proven track record delivering business value through predictive analytics, optimization, simulation, statistical modeling, and AI solutions.
  • Experience leading complex, cross-functional initiatives involving business stakeholders, technology teams, and executive leadership.
  • Experience translating ambiguous business challenges into analytical frameworks and actionable recommendations.
  • Preferred experience in Consumer-Packaged Goods (CPG), Food & Beverage, Manufacturing, Supply Chain, or Operations environments.
  • Experience with cloud-based analytical platforms and modern data ecosystems.

Location(s)

Bengaluru - Brookfield GCC


 

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.

Source details

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Location & working pattern

Bengaluru - Brookfield GCC

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