Senior Data Scientist, AI

Senior Data Scientist, AI
Location: U.S.-based
Travel: Some assignments may require 50–80% travel, while others may require little to no travel. At this time, we are only considering candidates who are open to travel.
Hours: Typically 40+ hours per week during an active project
Duration: Varies by project
Engagement: W-2 contract opportunities only
Use your data science expertise to solve complex business challenges through machine learning, advanced analytics, and AI. MBO Partners is supporting a leading global professional services firm in developing a flex talent network of experienced Data Scientists.
Professionals who successfully complete the qualification process and are added to the network will be considered ready to deploy and may receive early consideration for projects aligned with their expertise, availability, and travel preferences.
What You May Work On
Translate business questions into analytical approaches and data-driven solutions
Analyze large datasets using statistical, machine learning, and data-mining techniques
Design, develop, and evaluate machine learning, deep learning, and LLM models
Build production-grade AI solutions, including RAG pipelines and model evaluation
Deploy models through APIs or batch pipelines and monitor performance and drift
Optimize models for accuracy, explainability, latency, and cost
Collaborate with data engineers, ML engineers, clients, and other technical stakeholders
Communicate technical findings and recommendations to client and consulting teams
What You’ll Bring
Degree in computer science, machine learning, statistics, mathematics, engineering, AI, or a related quantitative field
7+ years of professional experience applying machine learning and data-mining techniques to real-world problems
Strong Python and SQL skills and experience with the Python data science stack
Experience with machine learning, advanced analytics, and large or complex datasets
Experience with technologies such as PySpark, Databricks, Airflow, Dask/RAPIDS, or similar
Experience with cloud platforms such as AWS, Azure, or GCP is a plus
Experience deploying machine learning or AI solutions to production is a plus
Strong problem-solving, communication, and client collaboration skills
Willingness and ability to travel 50–80% when required
What to Expect After Applying
Candidates selected to advance will complete a technical assessment, identity verification, conflict-of-interest review, and MBO’s Right to Represent authorization. Those who successfully complete these steps may be added to the flex talent network as ready-to-deploy consultants and considered for future client projects.
Compensation and Benefits
The anticipated compensation for active project assignments is $70-$150 per hour on a W-2 basis. Actual pay rate will depend experience, qualifications, location, and other job-related factors. While actively assigned, consultants will receive a fixed weekly amount calculated using the applicable hourly rate and estimated schedule. Compensation applies only during a confirmed project assignment.
Eligibility and Assignment Information
Candidates must reside in and be legally authorized to work in the United States. We are engaging directly with candidates and cannot accept third-party submissions.
This posting supports anticipated client needs and is not an offer for a specific project.

Work arrangement
No