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Lensa
Lensa

Data Scientist - Optimization - Pyomo MILP - Remote

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Manufacturing
Python
+23

Visa

U.S. visa required

Contract role
5 days ago
Apply now

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for CTG, Inc..

CTG's long-standing Fortune 500 client of over 15 years has a W2 contract assignment for a Data Scientist – Optimization Focus.

Type: Contract

Job Title: Data Scientist – Optimization Focus

Location: Remote

Pay Rate: $110.00/hr - $125.00/hr

Work Hours: M-F 8am–5pm

Education: PhD in Chemical Engineering, Computer Science, or a related field with a focus on Optimization during graduate studies

Description

CTG is seeking an experienced Data Scientist – Optimization Focus to support optimization modeling for manufacturing and supply chain processes. This hybrid role is primarily remote, with travel to Corning, NY or plant locations as needed. The ideal candidate will design, implement, and improve optimization models across various business applications.

Requirements

  • Minimum of 10 years of experience in industry roles focused on numerical optimization
  • Additional academic research or teaching in numerical optimization is a plus
  • Domestic and international travel up to 25%
  • Must be eligible to work in the US for at least 18 months

Required Qualifications

_Education

_

  • PhD in Chemical Engineering, Computer Science, or related field with graduate-level focus on optimization

Qualifications

  • Expertise in convex optimization, MILPs, NLPs, and large-scale solvers (e.g., Gurobi)
  • Proficient in Python (with Pyomo), MATLAB, and AMPL
  • Familiarity with Git/version control systems
  • Proven ability to translate business processes and logic into mathematical formulations
  • Strong collaboration and communication skills across interdisciplinary teams
  • Experience building models from scratch and improving existing optimization models

Desired Skills

  • Familiarity with GAMS or MiniZinc
  • Knowledge of machine learning/data analysis techniques to inform optimization
  • Experience working with supply chain, planning, and operations teams
  • Ability to identify key objectives and constraints from business requirements

Key Responsibilities

  • Design and implement optimization models (LP, NLP, MILP) for manufacturing and supply chain challenges
  • Collaborate with cross-functional teams to define business problems and translate them into mathematical models
  • Enhance model predictive control (MPC) frameworks
  • Gather and preprocess data in coordination with data scientists and engineers
  • Use tools such as Gurobi, Pyomo, AMPL, and MATLAB to develop optimization solutions
  • Communicate results clearly to both technical and non-technical stakeholders
  • Provide documentation and training to engineering/manufacturing teams

Additional Information

  • No third party resumes will be accepted
  • Drug testing and/or other employment-related inquiries may be conducted
  • CTG will consider for employment-qualified applicants with criminal histories in a manner consistent with applicable laws
  • All interested individuals MUST be able to work on a W2 Tax basis (no C2C or third-party vendors)
  • CTG is an Equal Employment Opportunity employer
  • CTG is an E-Verify Company

To be considered for this opportunity, please apply directly through our website or email your Word version resume and salary expectations to Nicole.Shaw@ctg.com.

The expected base salary for this position ranges from $110.00/hr to $125.00/hr. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. A competitive benefits package is also offered.

About CTG

CTG, a Cegeka company, is at the forefront of digital transformation, providing IT and business solutions that accelerate project momentum and deliver desired value. Over nearly 60 years, we have earned a reputation as a faster and more reliable, results-driven partner. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. CTG leverages the expertise of over 9,000 team members in 19 countries to provide innovative solutions. Together, we operate across the Americas, Europe, and India, working in close cooperation with over 3,000 clients in many of today's highest-growth industries. For more information, visit www.ctg.com .

Our culture is a direct result of the people who work at CTG, the values we hold, and the actions we take. In other words, our people define our culture. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. Part of our mission is to cultivate a workplace that attracts and develops the best people, reflected by our recognition as a Great Place to Work Certified™ company across many of our global operations.

CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws.

CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.

If you have questions about this posting, please contact support@lensa.com

About Lensa

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