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Senior Pricing Manager - Data Science & Pricing Analytics (Ref: 196761)
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Forsyth Barnes
Remote
$150,000 Salary, Full-Time
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Job Description
Senior Pricing Manager•Data Science & Pricing Analytics (
Dobie@forsythbarnes.com Overview We are partnered with a leading e-commerce and consumer business that is continuing to invest heavily across Data Science, Machine Learning, AI, and Commercial Analytics capabilities. We are searching for a Senior Pricing Manager to sit at the intersection of pricing strategy, advanced analytics, and data science. This individual will be responsible for driving pricing initiatives that influence revenue growth, customer value, and commercial performance while partnering closely with analytics, engineering, and business stakeholders. This opportunity is ideal for a commercially minded analytics professional who combines strong pricing expertise with technical capability and enjoys solving complex business problems through data-driven decision making. Key Requirements Strong experience within Pricing, Revenue Management, Pricing Analytics, or Commercial Strategy Background in Data Science, Advanced Analytics, Machine Learning, or a related quantitative discipline Strong Python and SQL skills Experience working with Tableau, Snowflake, and AWS environments Ability to translate business challenges into analytical solutions and recommendations Strong stakeholder management and communication skills Experience working cross-functionally with technical and non-technical teams Comfortable operating in a fast-paced, data-driven environment Preferred Experience Experience within retail, e-commerce, consumer, or customer-centric organisations Exposure to AI, Generative AI, or LLM-based solutions Experience applying machine learning techniques to commercial business problems Experience with pricing optimisation, forecasting, elasticity modelling, or revenue growth initiatives Exposure to cloud-based analytics environments and scalable data platforms Experience deploying analytical models into production environments
Ref:
196761) at Forsyth Barnes Senior Pricing Manager•Data Science & Pricing Analytics (Ref:
196761) at Forsyth Barnes in Winthrop, Massachusetts Posted in 8 days ago.Type:
full-timeJob Description:
Job Title Senior Pricing Manager•Data Science & Pricing Analytics (Ref:
196761)Location:
Boston, MA / Seattle, WA / Plantation, FL (Hybrid•3 Days Onsite)Salary:
$120,000•$180,000 &Benefits Contact:
Jessica.Dobie@forsythbarnes.com Overview We are partnered with a leading e-commerce and consumer business that is continuing to invest heavily across Data Science, Machine Learning, AI, and Commercial Analytics capabilities. We are searching for a Senior Pricing Manager to sit at the intersection of pricing strategy, advanced analytics, and data science. This individual will be responsible for driving pricing initiatives that influence revenue growth, customer value, and commercial performance while partnering closely with analytics, engineering, and business stakeholders. This opportunity is ideal for a commercially minded analytics professional who combines strong pricing expertise with technical capability and enjoys solving complex business problems through data-driven decision making. Key Requirements Strong experience within Pricing, Revenue Management, Pricing Analytics, or Commercial Strategy Background in Data Science, Advanced Analytics, Machine Learning, or a related quantitative discipline Strong Python and SQL skills Experience working with Tableau, Snowflake, and AWS environments Ability to translate business challenges into analytical solutions and recommendations Strong stakeholder management and communication skills Experience working cross-functionally with technical and non-technical teams Comfortable operating in a fast-paced, data-driven environment Preferred Experience Experience within retail, e-commerce, consumer, or customer-centric organisations Exposure to AI, Generative AI, or LLM-based solutions Experience applying machine learning techniques to commercial business problems Experience with pricing optimisation, forecasting, elasticity modelling, or revenue growth initiatives Exposure to cloud-based analytics environments and scalable data platforms Experience deploying analytical models into production environments