Top 54 Chief data scientist Jobs in United States

Chief Data Scientist
Mondelēz International —East Hanover, NJ
- $174,100 - $287,265 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Paid holidays
- Disability insurance
Head of Applied AI & Data Science
Ipsen Bioscience, Inc. —Cambridge, MA
- $180,000 - $260,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Commuter assistance
- Disability insurance
Head of Investor Relations - AI Trainer
DataAnnotation —Madison, WI
- $50 - $100 an hour
- Part-time
- Remote
- English
- Master's degree
- Doctor of Philosophy
Quick Apply
Head of Investor Relations - AI Trainer
DataAnnotation —Fort Lauderdale, FL
- $50 - $100 an hour
- Part-time
- Remote
- English
- Master's degree
- Doctor of Philosophy
Quick Apply
Head of Data Science - Hybrid
DW Simpson —Fort Lee, NJ
- $200,000 a year
- 8 years
- SQL
- Senior level
Quick Apply
8d
Head of AI Data Science, Intelligence Ventures
SPECTRUM —New York, NY
- $263,200 - $393,800 a year
- 7 years
- Computer Science
- Office
- Opportunities for advancement
Chief Data Scientist
FacilityConneX —Plymouth, MA
- Senior level
- Leadership
- Commercial
- Health insurance
- 401(k)
Chief Data Scientist - AI Safety
Pacific Northwest National Laboratory —Richland, WA
- $194,900 - $329,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Health savings account
- Paid holidays
Head of ML/AI Exploration, Architecture, & Engineering
Loon —Mountain View, CA
- $307,000 - $422,000 a year
- Full-time
- Computer Science
- Office
- Doctor of Philosophy
Head of Statistics
Headwater Science —Remote
- Remote
- Machine learning
- Doctor of Philosophy
- Mentoring
- Paid parental leave
- Paid holidays
Quick Apply
Head of Statistical Programming
Alexion Pharmaceuticals,Inc. —Boston, MA
- $257,140 - $385,711 a year
- Computer Science
- Office
- Senior level
- Paid holidays
- Health insurance
Head of Data Science
Porch —Seattle, WA
- $206,300 - $288,800 a year
- Full-time
- Remote
- 11+ years
- Continuous improvement
- Doctor of Philosophy
- Travel reimbursement
- Paid parental leave
Head of People Analytics
Citizens Financial Group —Johnston, RI
- $205,000 - $277,000 a year
- Full-time
- Background check
- Research
- Supervising experience
- Health insurance
- Dental insurance
10d
Head of Data Science
TRANZACT —Fort Lee, NJ
- From $200,000 a year
- Full-time
- Hybrid work
- Office
- Master's degree
- 8 years
- Paid jury duty
- Health savings account
Quick Apply
Head of Insights and Analytics
AXIS Insurance —New York, NY
- $280,000 - $325,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Health insurance
- Tuition reimbursement
2d
Senior Director/Head of Data Science
Elsevier —Philadelphia, PA
- $156,700 - $290,900 a year
- Full-time
- Master's degree
- Mentoring
- Senior level
- Disability insurance
- Health insurance
Applied AI ML Lead, Chief Data & Analytics Office
JPMorganChase —Jersey City, NJ
- $164,350 - $260,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Health insurance
- Tuition reimbursement
14d
Engineer in Residence: AICoS (AI Chief of Staff)
AI Fund —Mountain View, CA
- $10,000 a month
- Contract
- Google Workspace
- System design
- Residential
Senior Director/Head of Data Science
RELX —Philadelphia, PA
- $156,700 - $290,900 a year
- Full-time
- Master's degree
- Mentoring
- Senior level
- Disability insurance
- Health insurance
Applied AI ML Senior Associate, Chief Data & Analytics Office
JPMorganChase —Jersey City, NJ
- $128,250 - $195,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Health insurance
- Tuition reimbursement
13d

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Chief Data Scientist

Mondelēz International -
East Hanover, NJ

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Job Details

Full-time
$174,100 - $287,265 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Retirement plan

Qualifications

AI models
Roadmap creation (System development task)
Community engagement experience
Managerial strategic planning
Strategic management
Program design
Data visualization software proficiency
Big data projects
Azure
Statistics
Node.js
Computer Science
Community management
Automation
D3.js
Full-stack development
Product roadmapping
IT transformation
5 years
Spark
IT vision strategy
Operations transformation
Curriculum design
Mathematics
Managing IT teams
MongoDB
AI platforms (beyond public GPTs)
Managing data teams
Technology security practices
Global team management

Full Job Description

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Possible.

Role Description

The Data Science Service Lead will play a crucial role in enabling business growth by utilizing to solve complex business problems. Works closely with MDS Product Streams and other D&A Platform services to understand the business needs and, develop algorithms, automated data tools, and provide data-driven recommendations that will drive growth and success. This role will also be responsible for leading the enterprise transformation AI/Data Science initiatives.

Purpose & Accountabilities

The Leader of the D&A Data Science Services will play a crucial role in driving business growth by providing AI/Data Science based services and products in the service of the MDLZ enterprise strategies. In this role, he/she will work closely with cross-functional leadership teams to understand and influence the business strategies and the Digital/IT strategies from an AI/Data Science expert point of view. The role is also accountable for Data Science Services organization that houses data scientists and machine learning engineers. The role is also expected to be at the forefront of bringing industry leading and best practices into MDLZ in the form of data science initiatives and ensuring that the solutions delivered are aligned with the business goals and objectives, providing a tangible impact on the bottom line.

Key Outputs / Deliverables

Lead the development of key focus areas in data science, develop strategies and define clear roadmaps to bring these to life, in partnership with senior executives across the Enterprise
Engage executive-level stakeholders and translate business problems into solution concepts with business value impact
Own the Data Science Competency and executes an upskilling program for broader data science community in Mondelēz.
Lead the Artificial Intelligence Community of Practice (AI CoP) to create a network community of Data Science practitioners that supports upskilling, exchange of ideas, learning and career development
Accountable for the MDS D&A Data Scientists and ML Engineering & Operations services in in support of the product streams.
Manage enterprise projects and collaborate with stakeholders and teams globally.

Metrics

Roadmap design and execution
Earn seat at the table for product stream leader forums
Competency and curriculum in place
Community expansion and embedment in functions and regions
Career path in place and progress in Engagement Score
On time delivery, TCO and quality

Key Interactions / Stakeholders

MDS Platform teams (Emerging Tech, CTO etc)
MDS Domain/Function Lead and D&A Product Stream Lead as the ultimate workplan stakeholder
D&A horizontals team that makes up the data product squad (e.g. Platform, Data Engineering, Data Modelers, Data Architects, Data Governance etc.).
MDS DevOPs, Data Ops, and FinOPs

Preferred Qualifications:

Advance degree in Data Science, Computer Science, Engineering, Computational Statistics, Mathematics.
At least 15 years of professional experience, with at least 10 years in a Data Science field as team leader, with proven experience designing, developing, and implementing analytical systems, including the creation of Minimum Viable Products (MVPs).
Has at least 5 years’ experience in managing an enterprise Data Science program, Machine Learning (ML) / Large Language Model (LLM), adaptability building programs and strategic roadmaps.
Strong program management, leadership skills and experience working with global cross-functional teams. Ability to collaborate with internal Data & Analytics teams to develop enterprise protocols
Curates the Data Science technology stack in partnership with internal technology platforms and enterprise architecture teams
Understanding of various Data Science/AI/ML algorithms as well as their application in business processes.
Knowledge about application architecture, data security and compliance.

Knowledge with the following but not limited to:

Database systems such as MySQL, MongoDB, Big Query and Neo4j
Source code management system like GitHub, Mercurial, and SVN for collaborative development
Analytic notebooks such as Jupiter and Zeppelin
expertise in creating interactive data visualizations with open-source web technologies such as Angular, Vue, React, or D3.js, as well as frameworks such as Shiny and Plotly Dash
Ability to develop data-intensive, containerized full-stack web applications using technologies such as Node.js, Flask, and Django
Knowledge with cloud-based environments such as Google Cloud, Microsoft Azure and AWS and their machine learning components
Experience working with big data analytical environments including Apache Spark, Presto, Impala, or other distributed SQL engines

Salary and Benefits:

The base salary range for this position is $174,100 to $287,265; the exact salary depends on several factors such as experience, skills, education and location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results and eligibility to participate in our long-term incentive program.

In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.

No Relocation support available

Business Unit Summary

The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands—including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products —are close at hand for our consumers across the country.

Mondelēz Global LLC is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.

For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal

Job Type

Regular

Data Science

Analytics & Data Science

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Refine Your Search

chief data scientist jobs in united states

Chief Data Scientist

Head of Applied AI & Data Science

Head of Investor Relations - AI Trainer

Head of Investor Relations - AI Trainer

Head of Data Science - Hybrid

Head of AI Data Science, Intelligence Ventures

Chief Data Scientist

Chief Data Scientist - AI Safety

Head of ML/AI Exploration, Architecture, & Engineering

Head of Statistics

Head of Statistical Programming

Head of Data Science

Head of People Analytics

Head of Data Science

Head of Insights and Analytics

Senior Director/Head of Data Science

Applied AI ML Lead, Chief Data & Analytics Office

Engineer in Residence: AICoS (AI Chief of Staff)

Senior Director/Head of Data Science

Applied AI ML Senior Associate, Chief Data & Analytics Office

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