Technical Project Lead -Data Science

Akkodis is seeking a Technical Project Lead -Data Science for a 6-month contract with a client in Waltham MA 02451-Hybrid. Job Title: Technical Project Lead -Data Science Location: Waltham, MA 02451-Hybrid. Contract Duration: 6-month contract Pay Range: $60- $65/hr. (The rate may be negotiable based on experience, education, geographic location, and other factors.) Job Description: Data Science Technical Project Lead Note: Must Have Skills — Data Science, AI, Project Management Role Overview As a Data Science Technical Project Lead, you will be responsible for leading the delivery of multiple simultaneous data-driven projects from initiation to completion. This role sits at the intersection of technology, analytics, and business strategy—turning complex data into actionable intelligence. The challenges you will tackle are diverse and advanced, with meaningful real-world impact on millions of people. About the Position The Data Science function focuses on extracting insights from diverse, multi-format information sources using analytical techniques ranging from basic statistical methods to advanced machine learning and GenAI. Success in this role requires strong cross-functional collaboration, agility, and the ability to manage stakeholders effectively. Alongside deep technical knowledge, you must also demonstrate strong skills in project management, change management, and communication. Knowledge Areas: • Project management & change management frameworks • Effective data visualization & presentation • Statistical and probabilistic analysis • Machine learning methodologies (including GenAI) • Programming/software development Roles and Responsibilities • Fully lead and deliver 2–3 data science projects concurrently • Define project direction, scope, timelines, and deliverables in collaboration with stakeholders • Ensure all insights and outcomes are actionable and aligned with business goals • Collaborate with both technical and non-technical teams, including external partners when required • Assemble and manage project pods comprising internal data scientists and external contractors/consultants • Contribute hands-on using Python when necessary • Demonstrate intellectual curiosity and a passion for continuous learning Requirements • Exceptional project management, change management, and stakeholder management capabilities • Strong fluency in AI/ML tools and techniques, including GenAI/Agentic AI • Experience with cloud platforms (Azure preferred) • Master’s degree in a quantitative discipline • Outstanding candidates with a Bachelor’s or Master’s in progress may also be considered Preferred Skills • Experience in the energy or utility sector • Active GitHub repository or StackOverflow presence • Participation in data science competitions (Kaggle, KDnuggets, etc.) • GIS knowledge (ArcGIS preferred) • Experience with interactive visualization tools (Power BI preferred) • Familiarity with Agile methodologies Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave, or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance