

HatchPros
Data Scientist - AI Strategy Advisor - Utilities Domain
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist - AI Strategy Advisor in the Utilities domain, offering a 6+ month contract in Syracuse, NY or Waltham, MA. Pay rate is competitive. Requires 5-7 years of experience in asset-heavy industries and strong analytics skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 9, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
1099 Contractor
-
π - Security
Unknown
-
π - Location detailed
Syracuse, NY
-
π§ - Skills detailed
#Consulting #"ETL (Extract #Transform #Load)" #Data Science #Data Strategy #Statistics #Leadership #Computer Science #Strategy #AI (Artificial Intelligence) #Business Analysis
Role description
W2 and 1099 individulas only
this is 6+ months in Syracuse, NY or Waltham, MA
one day a week onsite- locals only
Key Responsibilities
β’ Scoping AI opportunities through collaboration with members of core business and IT teams, establishing the opportunities with the greatest impact and agreeing what an analytics/ AI-powered process could look like for each opportunity.
β’ Documenting the business case of the proposed analytics/ AI-based solution, including the expected financial and non-financial benefits.
β’ Collaborating with solution delivery teams, to shape the technical requirements of an Analytics/ AI-based solution(s) and operate as the key interface point with business teams.
β’ Tracking and measuring AI program performance, using KPIs to monitor the financial and non-financial impact of analytics and AI solutions as well as business engagement with the Value Office.
β’ Collaborate with data and AI Governance teams, to support the assessment of any risks associated with the use of Analytics/ AI-based solutions.
β’ Create and deliver engaging presentations to leadership and stakeholders across business teams to communicate the vision, progress, and impact of the AI Value Office.
β’ Provide executive-level reporting on AI Value Office progress, impact, and future initiatives.
β’ Support the development and implementation of AI and data strategy across the organization, including staying up to date with the latest developments in both AI and the utility industry.
What Youβll Bring
β’ A Bachelorβs degree OR a Masterβs degree in Computer Science, Engineering, Data Science, Statistics, Economics, Business Management, or a related field.
β’ 5+ years of experience (Masterβs degree) or 7+ years of experience (Bachelorsβ degree) working in an asset-heavy industry, including Utilities, Energy, Mining, Engineering or Manufacturing.
β’ Strong understanding of Analytics and AI (including Generative AI), and an interest in the growing impact that these types of solutions can play in achieving business objectives.
β’ Exceptional business analysis skills, with experience in capturing and shaping requirements, and forming a business case with clear benefits.
β’ Strong presentation skills with experience delivering engaging and impactful presentations to different audiences.
β’ Proven communication and stakeholder management skills, including experience engaging with senior executives.
β’ Ability to work independently, influence without direct authority, and navigate a matrixed organization.
β’ Experience in a consulting role is an added plus, particularly in advisory or strategic transformation initiatives related to data, analytics or AI.
W2 and 1099 individulas only
this is 6+ months in Syracuse, NY or Waltham, MA
one day a week onsite- locals only
Key Responsibilities
β’ Scoping AI opportunities through collaboration with members of core business and IT teams, establishing the opportunities with the greatest impact and agreeing what an analytics/ AI-powered process could look like for each opportunity.
β’ Documenting the business case of the proposed analytics/ AI-based solution, including the expected financial and non-financial benefits.
β’ Collaborating with solution delivery teams, to shape the technical requirements of an Analytics/ AI-based solution(s) and operate as the key interface point with business teams.
β’ Tracking and measuring AI program performance, using KPIs to monitor the financial and non-financial impact of analytics and AI solutions as well as business engagement with the Value Office.
β’ Collaborate with data and AI Governance teams, to support the assessment of any risks associated with the use of Analytics/ AI-based solutions.
β’ Create and deliver engaging presentations to leadership and stakeholders across business teams to communicate the vision, progress, and impact of the AI Value Office.
β’ Provide executive-level reporting on AI Value Office progress, impact, and future initiatives.
β’ Support the development and implementation of AI and data strategy across the organization, including staying up to date with the latest developments in both AI and the utility industry.
What Youβll Bring
β’ A Bachelorβs degree OR a Masterβs degree in Computer Science, Engineering, Data Science, Statistics, Economics, Business Management, or a related field.
β’ 5+ years of experience (Masterβs degree) or 7+ years of experience (Bachelorsβ degree) working in an asset-heavy industry, including Utilities, Energy, Mining, Engineering or Manufacturing.
β’ Strong understanding of Analytics and AI (including Generative AI), and an interest in the growing impact that these types of solutions can play in achieving business objectives.
β’ Exceptional business analysis skills, with experience in capturing and shaping requirements, and forming a business case with clear benefits.
β’ Strong presentation skills with experience delivering engaging and impactful presentations to different audiences.
β’ Proven communication and stakeholder management skills, including experience engaging with senior executives.
β’ Ability to work independently, influence without direct authority, and navigate a matrixed organization.
β’ Experience in a consulting role is an added plus, particularly in advisory or strategic transformation initiatives related to data, analytics or AI.






