Sr. Operations Research Scientist/ Data Scientist
Location: Onsite - Atlanta GA (Highly Preferred), Chicago IL, Dallas TX
FTE
Top 3 skillset-:
Experience with commercial (Gurobi, Cplex, Xpress) or free/open source (GLPK, lp_solve, MIPCL) solvers.
Looking for background in Retail, Supply Chain, Logistcs and Transportation, Storage, Industrial Engineering, Operations Research
An advanced Degree (Masters or PhD) in Operations Research, Industrial Engineering, Mathematics, or Computer Science.
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
What You Will Do
- Work with product managers and clients to better understand the business problem
- Think through a business problem and come up with a set of hypotheses
- Create a list of potentially relevant supporting data elements
- Work with data engineers and/or data analysts to procure data and test it for problems
- Collaborate with other scientists and analysts, leverage AI
- Propose modeling and application approaches
- Mine the data to check completeness, value distributions, etc.
- Test models for quality and scalability, applications for quality and alignment to expected user experience
- Collaborate with product managers to find the best way to present results and develop backlog, new features
- Collaborate with other developers and platform team to productionize models, and build software
Who You Are (Basic Qualifications)
- A minimum of 3 years of post-academic experience developing and deploying advanced optimization models.
- Expert in mathematical optimization and decomposition of complex problems for custom solutions.
- Experience with commercial (Gurobi, Cplex, Xpress) or free/open source (GLPK, lp_solve, MIPCL) solvers.
- Experience developing in Python, Java, or C++ within a collaborative production environment.
- Advanced experience in scheduling and routing optimization problems.
- The ability to rapidly develop proof of concepts and test new ideas, as well as the ability to scale these ideas into production ready models that can be deployed within our organization.
- Examples of how your passion for data driven decision making and intellectual curiosity translated into value for your organization.
- Experience with statistics and data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling).
- High quality understanding of stochastic processes and uncertainty modeling, experience formulating and solving Mixed Integer linear, non-Linear, quadratic Programming models.
- An advanced Degree (Masters or PhD) in Operations Research, Industrial Engineering, Mathematics, or Computer Science.
What Will Put You Ahead
- Experience leveraging Amazon Web Services (AWS), or Azure for software development
- AI Experience and vision for potential use within optimization space
- Strong research skills and the ability to put emerging ideas into practice through rapid experimentation and prototyping
- Experience with Gurobi and open source (GLPK, lp_solve, MIPCL) solvers.
- Advanced experience in scheduling and routing optimization problems
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $150,000 to $180,000. In addition, you may be eligible for a discretionary bonus for the current performance period.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
- Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
