Senior Data Scientist- Hospitality

Akkodis is seeking a Senior Data Scientist with a client in Chicago, IL-Remote for a 4-month contract. Title: Senior Data Scientist Location: Chicago, IL-Remote Duration: 4-month Contract Pay Range: $95-$100/hr (The rate may be negotiable based on experience, education, geographic location, and other factors Purpose: The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven solutions. This role advances our mission by optimizing decisions, improving operations, and enhancing guest experiences through applied analytics and innovation. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary. Position responsibilities: • Translate business problems in a variety of business areas into well-defined data science projects, ensuring alignment with business goals, scope, and defined KPIs. • Design, implement, and optimize advanced machine learning and optimization models to address complex business challenges. • Collaborate with cross-functional teams, including engineering, data, and business stakeholders, ensuring clear communication, seamless integration of data-driven solutions. • Monitor model performance in production, refining algorithms and processes to adapt to real-world data and evolving business needs. • Create and maintain detailed documentation for models, methodologies, and workflows to support team knowledge-sharing. • Conduct testing and validation of models to ensure robustness, scalability, and reliability in production environments. • Present data-driven insights, findings, and product outcomes to stakeholders in a clear, actionable manner. • Stay updated on the latest advancements in machine learning and optimization, integrating innovative techniques and tools into projects. • Mentor junior data scientists by providing technical guidance, reviewing work, and fostering their professional development. • Demonstrate a commitment to ethical data science, ensuring our models and solutions are developed with fairness, transparency, and integrity. Experience and qualifications: Required Skills - • Expertise in operations research modeling (LP, IP, MIP) and tools (CPLEX, Gurobi, etc). • Expertise in building machine learning models, including supervised, unsupervised, and deep learning methods. • Expertise in feature engineering, model evaluation, and hyperparameter tuning. • Expertise in Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc). • Experience in developing and deploying solutions in a Cloud environment (AWS, Azure, GCP) with large datasets. • Experience with streaming data architectures. • Experience operating in an Agile Methodology environment. • Experience with DevOps and CI/CD concepts. • Excellent communication and teamwork skills. Preferred Skills: • Exposure to hospitality, travel, or service industry data and optimization use cases. • Strong understanding of data architecture and MLOps best practices. • Proven ability to translate complex analytics into business impact. • Passion for continuous learning and innovation in applied data science. Education: • Master’s degree in computer science, statistics, industrial engineering, or related fields required, PhD preferred • 5+ years of experience in data science, operations research, or related area (2+ years for candidates with PhD). 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