Data Scientist - Optimization

Overview

On Site
Depends on Experience
Full Time

Skills

C++
Supply chain optimization
Problem solving
Operations research
Computer science
Linear programming
Decision-making
Supply chain management
Programming languages
Build automation
Mathematical modeling
Machine Learning (ML)
Decision support
Data manipulation
Statistics
Data Science
Data
Optimization
Pivotal
Transformation
Algorithms
Mathematics
Software development
Simulation
Analytical skill
Collaboration
Operations
Research
Management
Design
Adaptability
Transportation
Planning
Python
CPLEX
R
Analytics
Communication
SAP BASIS
Productivity
Mechanical engineering
Chemicals
Testing
HP

Job Details

LIVING OUR VALUES

All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.

JOB SUMMARY

The Data Scientist - Optimization plays a pivotal role in advancing The Friedkin Group's digital transformation through the Trailblazer initiative. In this role, you will be responsible for developing and implementing mathematical models and algorithms to solve complex business problems. You should have a passion for mathematical problem solving and a drive to help us reach our ambitious goals. The ideal candidate will have a strong background in operations research, mathematics, and/or computer science. You should have experience with optimization techniques, such as linear programming, integer programming, and dynamic programming, as well as experience with developing and applying simulation models. Additionally, you should have strong analytical and problem-solving skills.

ESSENTIAL FUNCTIONS
  • Develop and implement mathematical models and algorithms to solve complex business problems.
  • Utilize optimization techniques such as linear programming, integer programming, and dynamic programming.
  • Develop and apply simulation models.
  • Develop and refine optimization models that enhance efficiency and effectiveness, influencing critical business decisions and supporting the strategic objectives of the Trailblazer initiative.
  • Collaborate with business units to understand their challenges and develop quantitative solutions that integrate seamlessly with their operations.
  • Conduct deep analyses of large datasets to discover trends and efficiencies, driving continuous improvements and innovations in business practices.
  • Continuously improve existing models by incorporating new data sources and updating methodologies based on the latest research and techniques.
  • Present complex model findings and strategic recommendations to senior management, ensuring alignment and informed decision-making.
  • Design models that are not only effective but also scalable and adaptable, preparing the organization for future challenges and opportunities.

QUALIFICATIONS
  • Bachelor's degree in a related discipline and 4 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 8 years' experience in a related field
  • Experience in automotive supply chain a plus
  • Extensive experience in developing and implementing optimization algorithms for transportation planning or similar domains.
  • Experience developing and implementing large scale optimization models using Linear programming, Mixed Integer programming and heuristics
  • Proficiency in programming languages like Python, C++ and build automation
  • Strong background in utilizing optimization libraries such as CPLEX or Gurobi for solving large-scale linear and non-linear optimization problems.
  • Knowledge of Operations Research techniques and mathematical modeling for supply chain optimization.
  • Experience with integrating Machine Learning algorithms into decision-support tools is a plus.
  • Proficiency in Python, R, or other analytics platforms, with a strong background in data manipulation and statistical analysis.
  • Demonstrated ability to collaborate effectively across various teams, driving data-driven culture and innovative solutions within the organization.
  • Excellent communication skills, capable of conveying complex information in an accessible manner to non-technical stakeholders.


CERTIFICATES, LICENSES, REGISTRATIONS*

Certification in relevant data science or analytics platforms is highly desirable.

PHYSICAL REQUIREMENTS

The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day; and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.

WORK ENVIRONMENT

The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. While the job is generally performed in an office environment, the associate is occasionally exposed to wet and/or humid conditions, areas in which moving mechanical parts, fumes, toxic or caustic chemicals are present, and outside weather conditions. The noise level in the office environment is typically quiet, but the associate may be occasionally exposed to loud noise levels.

TRAVEL REQUIRED

Minimal travel is required for this position (up to 20% of the time and on a domestic basis).

The Friedkin Group and its affiliates are equal opportunity employers and maintain drug-free workplaces by conducting pre-employment drug testing.

TOTAL REWARDS
Our Total Rewards package is an integral part of how we recognize our associates' contributions as well as attract, retain and reward the most qualified employees. We are committed to providing a fair and competitive compensation structure that includes base pay and performance based rewards, where applicable. Compensation is based on various factors including, but not limited to, skill set, experience, qualifications and job-related requirements. Our benefits include medical, dental, and vision along with wellness programs, retirement plans, paid leave and much more! To learn more about these programs and many more, take a tour of our Benefits Page

We are seeking candidates who are legally authorized to work in the United States, without Sponsorship.

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About The Friedkin Group