Pricing Strategy

Pricing Strategy Data Jobs

2 jobs found

30d ago

Lead Data Scientist - Pricing, Data & Analytics

Starbucks Seattle, WA

Seattle, WA

30d ago Closed

$146k - $244k/yr Full time Analytics Big Data Bigdata

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Starbucks is seeking a Lead Data Scientist for its Pricing Data Science team in Seattle, WA, working onsite. In this role, you will help shape the evolution of the pricing system by building advanced pricing models and optimization algorithms that support company-owned stores across the US and Canada.

You will lead development of a scalable, data-driven pricing framework that connects predictive analytics and optimization to business outcomes. The position also includes guiding senior and peer data scientists, partnering closely with strategy and finance, and strengthening how insights are communicated through analytics, dashboards, and decision-ready tools.

What you’ll do

Develop a scalable pricing framework driven by data to optimize revenue outcomes.
Integrate predictive modeling and ad hoc analyses into the pricing framework.
Use advanced analytics to identify pricing and promotion potential.
Apply machine learning, simulation, and scenario planning to implement optimization strategies.
Partner with strategy and finance to align pricing tools with business goals.
Lead data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.
Support a culture of innovation and continuous improvement within the analytics team.

What you bring

5+ years of progressive experience in data science, including a proven record of end-to-end data product and model deployment with measurable business impact.
A strong foundation in machine learning and statistical methods, including regression, classification, clustering, and causal inference.
Advanced proficiency in Python and SQL, along with cloud-based analytics platforms such as Databricks and Azure.
Experience creating production-grade data pipelines and model outputs.
Strong communication and data storytelling skills, translating complex approaches into actionable insights through visualizations and dashboards using Tableau.
Experience building in-house production systems in complex, data-rich domains.
Mentoring experience.

Tools and technologies

Python
SQL
Databricks
Azure
Tableau
PySpark

Salary

USD 146,300 - 243,900 per year.

Benefits

Medical, dental, and vision coverage
Basic and supplemental life insurance
Short-term and long-term disability
Paid parental leave
Family expansion reimbursement
Paid vacation from date of hire
Sick time (accrued at 1 hour for every 25 hours worked)
Eight paid holidays
Two personal days per year
401(k) retirement plan with employer match
Discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
Incentivized emergency savings
Financial well-being tools
100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
Student loan management resources
Access to other educational opportunities
Backup care
DACA reimbursement
Reasonable accommodations to job applicants with disabilities

Preferred skills

Expertise in Bayesian elasticity models and causal inference.
Experience with optimization techniques including linear programming, mixed-integer programming, or heuristic algorithms for decision support.
Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments.

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1mo ago

Senior AI/ Data Scientist - Pricing Promotion

Cargill Atlanta, GA

Atlanta, GA

1mo ago Closed

$105k - $160k/yr Full time Ai Ml Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

The Senior AI and Data Scientist - Pricing Promotion role at Cargill focuses on leading the development and deployment of AI and ML models to inform pricing and promotions across the supply chain, embedding models into core workflows to drive business impact. This onsite position is based in Atlanta, GA, with a salary range of USD 105,000 to 160,000 per year.

Responsibilities

DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies.
DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas.
MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights.
AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications.
DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing.
COMMUNICATION: Presents techniques and results to technical and non-technical audiences.
CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles, theories, and techniques to develop and deploy artificial intelligence models into production, improving the organization's analytical capabilities.
STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications.

Requirements

Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Benefits

Comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked
Discretionary incentive award
Minnesota Sick and Safe Leave accruals

Short Description

The expected salary for this position is $105,000 - $160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company perform

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

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Pricing Strategy Data Jobs

Lead Data Scientist - Pricing, Data & Analytics

Senior AI/ Data Scientist - Pricing Promotion

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