

Principal Data Scientist (REF: 190473)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Scientist (REF: 190473) on a contract-to-hire basis, hybrid in New York, paying up to $90 per hour. Requires retail experience, expertise in causal analysis, and strong skills in pricing strategies and model development.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
720
-
ποΈ - Date discovered
September 17, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
New York City Metropolitan Area
-
π§ - Skills detailed
#Datasets #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Data Science #Forecasting
Role description
Role: Principal Data Scientist (REF: 190473)
Work Type: Contract to hire (no sponsorship is available for this role)
Location: Hybrid in New York 3 days per week
Sector: Retail
Rate: Upto $90 per hour
Contact: Alex.shemar@forsythbarnes.com
Job Description
We are collaborating with this organization to find a Principal Data Scientist who will be fundamental to their data science efforts. This role will focus on measurement and causal analysis, with the goal of informing strategic business decisions and enhancing overall performance. The selected candidate will be responsible for designing experiments that evaluate the business contributions of AI models, thereby playing a key part in the organizationβs technological advancement.
Key Responsibilities
β’ A robust technical background in data science is crucial, along with the capacity to manage end-to-end model development and to influence team strategies well beyond personal contributions.
β’ Key responsibilities will include refining pricing strategies and managing budgets effectively.
β’ Candidates should have significant experience in the digital transformation of product offerings.
β’ The role also entails synthesizing complex datasets into actionable insights that drive operational improvement.
β’ Working across multiple functions to support optimization and monetization
β’ Strong critical thinking and supporting creativity and innovation in model building
Requirements
β’ Prior experience in the retail or consumer goods sector is preferred, though exceptional critical thinking skills may offset a lack of industry background.
β’ The organization Favors self-motivated, accountable individuals who are naturally curious and possess the ability to innovate while addressing challenges autonomously.
β’ Expertise in causal analysis within operational settings is essential.
β’ Substantial experience in pricing strategies and forecasting is required.
β’ Must have strong build experience and delivered multiple end-to-end enterprise models
β’ The ideal candidate would have experience in agentic environments, including Gen AI, transformer models, and RAG
β’ The candidate must demonstrate proficiency in developing models throughout the project lifecycle.
β’ A solid understanding of the responsibilities associated with this position is crucial, and understanding the impacts of the business at this Principal level is essential.
If this role is of interest to you, please reply with your most recent Resume. if your profile is of interest, I will reach out
We cannot provide any sponsorship for this role.
Role: Principal Data Scientist (REF: 190473)
Work Type: Contract to hire (no sponsorship is available for this role)
Location: Hybrid in New York 3 days per week
Sector: Retail
Rate: Upto $90 per hour
Contact: Alex.shemar@forsythbarnes.com
Job Description
We are collaborating with this organization to find a Principal Data Scientist who will be fundamental to their data science efforts. This role will focus on measurement and causal analysis, with the goal of informing strategic business decisions and enhancing overall performance. The selected candidate will be responsible for designing experiments that evaluate the business contributions of AI models, thereby playing a key part in the organizationβs technological advancement.
Key Responsibilities
β’ A robust technical background in data science is crucial, along with the capacity to manage end-to-end model development and to influence team strategies well beyond personal contributions.
β’ Key responsibilities will include refining pricing strategies and managing budgets effectively.
β’ Candidates should have significant experience in the digital transformation of product offerings.
β’ The role also entails synthesizing complex datasets into actionable insights that drive operational improvement.
β’ Working across multiple functions to support optimization and monetization
β’ Strong critical thinking and supporting creativity and innovation in model building
Requirements
β’ Prior experience in the retail or consumer goods sector is preferred, though exceptional critical thinking skills may offset a lack of industry background.
β’ The organization Favors self-motivated, accountable individuals who are naturally curious and possess the ability to innovate while addressing challenges autonomously.
β’ Expertise in causal analysis within operational settings is essential.
β’ Substantial experience in pricing strategies and forecasting is required.
β’ Must have strong build experience and delivered multiple end-to-end enterprise models
β’ The ideal candidate would have experience in agentic environments, including Gen AI, transformer models, and RAG
β’ The candidate must demonstrate proficiency in developing models throughout the project lifecycle.
β’ A solid understanding of the responsibilities associated with this position is crucial, and understanding the impacts of the business at this Principal level is essential.
If this role is of interest to you, please reply with your most recent Resume. if your profile is of interest, I will reach out
We cannot provide any sponsorship for this role.