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Data Scientist Cpg Jobs (NOW HIRING)

Decision Scientist

Denver, CO ยท Hybrid

$89K/yr

Our relatively new and fast-growing Client Analytics team provides high-quality, on-time data ... CPG / marketing analytics experience is preferred but not required Preferred: * Experience with ...

New

Decision Scientist

Denver, CO ยท On-site

$89K/yr

Our relatively new and fast-growing Client Analytics team provides high-quality, on-time data ... CPG / marketing analytics experience is preferred but not required Preferred: * Experience with ...

New

Domain - Retail and/or CPG domain Knowledge * Retail Execution - Demand Forecasting/Inventory ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Domain - Retail and/or CPG domain Knowledge * Retail Execution - Demand Forecasting/Inventory ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

Domain - Retail and/or CPG domain Knowledge * Retail Execution - Demand Forecasting/Inventory ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Domain - Retail and/or CPG domain Knowledge * Retail Execution - Demand Forecasting/Inventory ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Domain - Retail and/or CPG domain Knowledge * Retail Execution - Demand Forecasting/Inventory ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Domain - Retail and/or CPG domain Knowledge. * Retail Execution - Demand Forecasting/Inventory ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

Domain - Retail and/or CPG domain Knowledge. * Retail Execution - Demand Forecasting/Inventory ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

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Data Scientist Cpg information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist cpg jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data scientist cpg in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How do Data Scientists in the CPG industry typically collaborate with marketing and sales teams to drive business outcomes?

Data Scientists working in the Consumer Packaged Goods (CPG) sector regularly partner with marketing and sales teams to analyze consumer behavior, forecast demand, and optimize promotional strategies. They translate complex data into actionable insights, enabling teams to make data-driven decisions on product launches, pricing, and campaign effectiveness. This collaboration often involves presenting findings in clear, business-friendly terms, and aligning data initiatives with broader commercial objectives to ensure that analytics directly contribute to revenue growth and market share.

What are the key skills and qualifications needed to thrive as a Data Scientist in the Consumer Packaged Goods (CPG) industry, and why are they important?

To thrive as a Data Scientist in CPG, you need strong analytical skills, expertise in statistics, and proficiency in programming languages like Python or R, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks, and experience with large-scale data systems are typically required. Strong business acumen, problem-solving abilities, and effective communication skills help translate data insights into actionable business strategies. These skills are vital for driving data-driven decisions that optimize supply chains, marketing, and product development in the highly competitive CPG sector.

What is the difference between Data Scientist Cpg vs Data Analyst Cpg?

AspectData Scientist CpgData Analyst Cpg
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; programming skills in Python/RBachelor's in Analytics, Statistics, or related field; proficiency in Excel, SQL
Work EnvironmentAdvanced analytics, predictive modeling, machine learning in CPG companiesData reporting, visualization, and basic analysis in CPG settings
Employer & Industry UsageUsed for complex data modeling, forecasting, and strategic insights in CPGUsed for routine data reporting and trend analysis in CPG

Data Scientist Cpg roles focus on advanced analytics, predictive modeling, and machine learning to drive strategic decisions, requiring higher technical skills. Data Analyst Cpg positions involve data reporting, visualization, and basic analysis, supporting operational needs. Both roles are vital in CPG companies but differ in complexity and technical expertise.

What are Data Scientist CPG roles?

Data Scientist CPG roles involve leveraging data analytics, machine learning, and statistical modeling to help Consumer Packaged Goods (CPG) companies make informed business decisions. These professionals analyze large datasets related to consumer behavior, sales, supply chain, and marketing to uncover trends and insights. Their work supports product development, marketing strategies, demand forecasting, and inventory management. Data Scientists in CPG often collaborate with cross-functional teams to drive growth and efficiency across the business.
More about Data Scientist Cpg jobs
What cities are hiring for Data Scientist Cpg jobs? Cities with the most Data Scientist Cpg job openings:
What states have the most Data Scientist Cpg jobs? States with the most job openings for Data Scientist Cpg jobs include:
Infographic showing various Data Scientist Cpg job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 52% As Needed, 39% Full Time, 1% Part Time, 4% Contract, and 1% Summer. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist PCON & Architect

Implify Inc

Newark, DE โ€ข On-site

Full-time

Posted 26 days ago


Job description

Company Description

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.

Job Description

Position: 1
Job Title: Analytics - Principal Consultant
100% Travel
Duration : Full Time Permanent
Qualifications Basic

- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.

Must Have Skill/Competency:

Domain - Retail and/or CPG domain Knowledge
Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting
Data Understanding of Sales, Inventory, Store, Product and Promotion Data
Ability to translate business requirement to analytical model
Communicate directly with business users
Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview
Nice to have Skill/Competency:
Hadoop, Spark, Python
Tableau/Spotfire/Qlikview
Nielsen/IRI/Market Research Data understanding

Job responsibilities:

Understand business requirement from client and translate it to appropriate Analytics use cases
Work in a team environment to deliver analytics solution to client
Define new business metrics as required and build measurement systems as needed
Enjoy designing, develop and deploy state of the art, data-driven predictive models
Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling,
Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
Position: 2
Job Title: Analytics - Data Scientist - Architect
100% Travel
Duration : Full Time Permanent
Skillset: Analytics ,
Domain: Business Intelligence
Qualifications Basic

- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Qualifications Preferred
MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms
Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software
Knowledge of Perl, Python or Ruby; experience with Java, C or C++
Experience with Apache Spark and Scala
Knowledge of Clojure or Julia for statistical learning and optimization algorithms
Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc.
Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing
Job responsibilities
Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data
Define new business metrics as required and build measurement systems as needed
Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.
Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

Additional Information

All your information will be kept confidential according to EEO guidelines.