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Remote Data Scientist - Supply Chain Optimization

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Texas (USA), United States

Offer summary

Qualifications:

Over 5 years of data science experience, Advanced degree in Operations Research, Industrial Engineering, Mathematics, or Analytics, Proficient in mathematical programming solvers, Strong background in statistical analysis and predictive modeling, Expertise in Python, Pyspark, and SQL.

Key responsabilities:

Address supply chain issues with data science methods
Design predictive models for inventory and resource allocation
Collaborate with teams to meet business objectives
Stay updated on trends in data science and optimization
Mentor junior data scientists and support team growth

Get It Recruit - Transportation Human Resources, Staffing & Recruiting Startup https://www.get.it/

2 - 10 Employees

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Job description

Job Overview

Join our innovative team as a Data Scientist specializing in Optimization, where you will leverage your expertise to transform supply chain processes remotely. This role offers the unique opportunity to engage with complex challenges and develop solutions that enhance operational efficiency.

Key Responsibilities

Address intricate supply chain issues using advanced data science methodologies.
Design and implement predictive models and optimization algorithms aimed at enhancing inventory management and resource allocation.
Collaborate with interdisciplinary teams to align technical solutions with business objectives.
Remain informed about emerging trends and advancements in data science and supply chain optimization.
Foster a culture of knowledge-sharing by mentoring junior data scientists and contributing to team growth.

Required Skills

Over 5 years of experience in data science, with a focus on supply chain optimization.
Proficient in mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, and Google OR Tools.
Strong background in statistical analysis, optimization methods, and predictive modeling techniques.
Expertise in programming languages, particularly Python, Pyspark, and SQL.
Ability to distill complex data insights into actionable recommendations for stakeholders.
A team-oriented approach with excellent collaboration skills.

Qualifications

An advanced degree (MS or PhD) in Operations Research, Industrial Engineering, Mathematics, or Analytics.
Minimum of 5 years of relevant experience in data science focused on supply chain optimization.

Career Growth Opportunities

At our company, you will find ample opportunities for professional development and networking within the data science community, allowing you to enhance your skills and advance your career.

Company Culture And Values

We pride ourselves on fostering an inclusive and collaborative work environment that encourages innovation and creativity. Our team dynamics support knowledge-sharing and professional integrity.

Compensation And Benefits