Job description

Summary We are seeking a Senior Data Scientist / Machine Learning Engineer to support Chobani’s Data & Analytics organization with a strong focus on measurement, forecasting, planning, optimization, machine learning, and AI-enabled decision support. This role will partner closely with Retail Execution, Commercial, Finance, Supply Chain, Analytics Engineering, Data Engineering and other cross-functional teams to translate business questions into scalable analytical and machine learning solutions. The ideal candidate combines strong data science and machine learning expertise with practical software engineering skills, business partnership, and the ability to build reusable tools that support decision-making across the organization. The initial focus of this role may include retail execution use cases, such as measuring the impact of store-level interventions, forecasting sales and order trends, out of stock modeling, identifying execution risks, and developing models that help prioritize field activity. Over time, this role may support broader One Chobani initiatives across commercial analytics, planning, operations, AI enablement and advanced analytics. Responsibilities Data Science, Measurement & Forecasting • Design and develop data science models to support retail execution measurement, forecasting, planning, optimization and decision support across business functions. • Build reusable approaches to measure the incremental impact of store-level activities such as coolers, displays, sampling, field visits, promotions, out-of-stock interventions and other commercial programs. • Develop forecasting models for sales, orders, demand pacing, out-of-stock risk, store-level performance trends and other business planning needs. • Apply statistical modeling, machine learning, causal inference, optimization, supervised learning, time-series forecasting, and other advanced analytical techniques to answer complex business questions. • Create clear diagnostics, assumptions, and confidence measures so model outputs can be understood and trusted by business stakeholders. Machine Learning Engineering & AI Enablement • Build scalable, reusable Python-based tools, libraries, models, and analytical services that can support multiple business use cases. • Partner with Data Engineering and Analytics Engineering teams to integrate models with Snowflake, dbt, POS data, retail execution data, master data, and external data sources. • Support AI-enabled use cases including image analysis, OCR, NLP / LLM workflows, anomaly detection, and recommendation models. • Help convert prototypes and proof-of-concepts into production-grade solutions with appropriate documentation, testing, monitoring, and deployment standards. • Identify opportunities to automate manual analysis and create repeatable decision-support capabilities. Business Partnership & Communication • Partner with Retail Execution and cross-functional business teams to understand priorities, define analytical requirements, and translate business needs into technical solutions. • Communicate complex modeling approaches and trade-offs clearly to both technical and non-technical audiences. • Synthesize model outputs into actionable recommendations, business readouts, dashboards, alerts, or decision-support tools. • Proactively identify high-value data science opportunities that can improve execution, resource allocation, forecasting accuracy, and commercial performance. Data Strategy & Enablement • Contribute to the development of reusable data science frameworks, model standards, and best practices across the Data & Analytics organization. • Collaborate with data teams to improve data quality, store and product linkage, common event definitions, and analytical foundations required for scalable modeling. • Support the broader roadmap for AI, machine learning, and advanced analytics across Chobani. Requirements The requirements of this position include: • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics or relevant quantitative field. • 5+ years of experience in data science, machine learning, applied statistics, analytics engineering, or related roles; or Master’s degree with 3+ years of relevant experience. • Strong hands-on experience with Python and SQL. • Experience building machine learning, forecasting, statistical modeling, or causal inference solutions in a business environment. • Strong understanding of time-series forecasting, regression, classification, model evaluation, and experimental or quasi-experimental measurement methods. • Experience with forecasting tools and methods such as Prophet, ARIMA, machine learning forecasting models or similar approaches is preferred. • Experience working with modern data platforms such as Snowflake, dbt, Git, cloud environments or similar tools. • Experience with production-grade model development, including testing, monitoring, drift detection, retraining, and model accuracy evaluation. • Ability to build practical, reusable analytical tools beyond one-off notebooks. • Demonstrated ability to partner with business stakeholders, operate independently, and deliver results in ambiguous environments. • Strong communication skills with the ability to explain technical concepts, assumptions, and recommendations to non-technical audiences. • Experience in CPG, retail, retail execution, commercial analytics, supply chain, or revenue growth management is strongly preferred. • Experience with AI / ML tools, computer vision, OCR, NLP, LLMs, MLOps, or production model deployment is preferred. About Us Chobani is a food maker with a mission of making high-quality and nutritious food accessible to more people, while elevating our communities and making the world a healthier place. In short: making good food for all. In support of this mission, Chobani is a purpose-driven, people-first, food-and-wellness-focused company, and has been since its founding in 2005 by Hamdi Ulukaya, an immigrant to the U.S. The Company manufactures yogurt, oat milk, and creamers – Chobani yogurt is America's No.1 yogurt brand, made with natural ingredients without artificial preservatives. Following the 2023 acquisition of La Colombe, a leading coffee roaster with a shared commitment to quality, craftmanship and impact, the Company began selling cold-pressed espresso and lattes on tap at cafés nationwide, as well as Ready to Drink (RTD) coffee beverages at retail. In 2025, Chobani acquired Daily Harvest, a modern brand offering consumers nutritious, delicious and convenient ready-to-make meals.   Chobani uses food as a force for good in the world – putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products in New York, Idaho, Michigan and Australia, and its products are available throughout North America and distributed in Australia and other select markets.  For more information, please visit  www.chobani.com or follow us on Facebook, Twitter, Instagram and LinkedIn.  Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $105,500.00 - $196,500.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Requirements

Must-haves

Data Science, Measurement & Forecasting
Design and develop data science models to support retail execution measurement, forecasting, planning, optimization and decision support across business functions.
Build reusable approaches to measure the incremental impact of store-level activities such as coolers, displays, sampling, field visits, promotions, out-of-stock interventions and other commercial programs.
Develop forecasting models for sales, orders, demand pacing, out-of-stock risk, store-level performance trends and other business planning needs.
Apply statistical modeling, machine learning, causal inference, optimization, supervised learning, time-series forecasting, and other advanced analytical techniques to answer complex business questions.
Create clear diagnostics, assumptions, and confidence measures so model outputs can be understood and trusted by business stakeholders.
Machine Learning Engineering & AI Enablement
Build scalable, reusable Python-based tools, libraries, models, and analytical services that can support multiple business use cases.
Partner with Data Engineering and Analytics Engineering teams to integrate models with Snowflake, dbt, POS data, retail execution data, master data, and external data sources.
Support AI-enabled use cases including image analysis, OCR, NLP / LLM workflows, anomaly detection, and recommendation models.
Help convert prototypes and proof-of-concepts into production-grade solutions with appropriate documentation, testing, monitoring, and deployment standards.
Identify opportunities to automate manual analysis and create repeatable decision-support capabilities.
Business Partnership & Communication
Partner with Retail Execution and cross-functional business teams to understand priorities, define analytical requirements, and translate business needs into technical solutions.
Communicate complex modeling approaches and trade-offs clearly to both technical and non-technical audiences.
Synthesize model outputs into actionable recommendations, business readouts, dashboards, alerts, or decision-support tools.
Proactively identify high-value data science opportunities that can improve execution, resource allocation, forecasting accuracy, and commercial performance.
Data Strategy & Enablement
Contribute to the development of reusable data science frameworks, model standards, and best practices across the Data & Analytics organization.
Collaborate with data teams to improve data quality, store and product linkage, common event definitions, and analytical foundations required for scalable modeling.
Support the broader roadmap for AI, machine learning, and advanced analytics across Chobani.

Nice-to-haves

Experience with forecasting tools and methods such as Prophet, ARIMA, machine learning forecasting models or similar approaches is preferred.
Experience in CPG, retail, retail execution, commercial analytics, supply chain, or revenue growth management is strongly preferred.
Experience with AI / ML tools, computer vision, OCR, NLP, LLMs, MLOps, or production model deployment is preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonllmsqlml

Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave

Wellness