Senior Data Scientist

Akkodis Group AG.

Chicago, IL

JOB DETAILS
SALARY
$100–$110 Per Hour
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Modeling, Data Processing, Data Science, DevOps, GCP (Good Clinical Practices), IP (Internet Protocol), Industrial Engineering, Machine Learning, Mathematics, Mentoring, Microsoft Windows Azure, Operations Research, Performance Analysis, Performance Management, Performance Metrics, Performance Modeling, Performance Tuning/Optimization, Process Improvement, Production Systems, Programming Methodologies, Python Programming/Scripting Language, Return on Investment (ROI), SQL (Structured Query Language), Statistics
LOCATION
Chicago, IL
POSTED
7 days ago

Senior Data Scientist

Engineering

Industrial

$ 100 - $ 110 / Hour

location_onChicago, Illinois

acuteContractor

Apply now

Copy Linklink

Your Role

Akkodis is seeking a Senior Data Scientist for a Contract job with a client in Chicago, IL. The ideal candidate must have deep expertise in machine learning, operations research, and large-scale data modeling, along with experience delivering end-to-end data science solutions in cloud environments.

Rate Range: $100/hour to $110/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Senior Data Scientist job responsibilities include:

  • Translate complex business challenges into scalable data science and optimization solutions aligned with strategic objectives and KPIs.

  • Design, build, and deploy machine learning models and operations research solutions (LP, IP, MIP) to optimize business processes.

  • Perform advanced feature engineering, model evaluation, and hyperparameter tuning to improve performance and accuracy.

  • Collaborate with engineering, analytics, and business teams to integrate AI/ML models into production systems.

  • Monitor model performance and continuously refine models using real-world data and feedback loops.

  • Mentor junior team members and contribute to best practices in model development, MLOps, and data science workflows.

Desired Qualifications:

  • Master's Degree in Computer Science, Statistics, Industrial Engineering, or related field (PhD preferred).

  • 5+ years of experience in data science, machine learning, or operations research (2+ years with PhD).

  • Strong expertise in optimization modeling (CPLEX, Gurobi) and mathematical programming techniques.

  • Proficiency in Python, SQL, and Spark for large-scale data processing.

  • Experience with ML frameworks including Scikit-Learn, XGBoost, TensorFlow, or PyTorch.

  • Hands-on experience deploying solutions in AWS, Azure, or GCP environments.

  • Familiarity with streaming data pipelines and real-time data processing.

  • Experience with CI/CD, DevOps, and Agile methodologies.

Preferred Qualifications:

  • Experience in hospitality, travel, or service industries

  • Knowledge of MLOps and scalable model deployment architectures

  • Strong ability to link analytics outcomes to business value and ROI

  • Passion for innovation and continuous learning in applied AI and data science

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at Nitish.Kumar2@akkodisgroup.com.

Pay Details: $100.00 to $110.00 per hour

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, 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.

Equal Opportunity Employer/Veterans/Disabled

Military connected talent encouraged to apply

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-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

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Ref: 1634046

Apply now

About the Company

A

Akkodis Group AG.