Senior Data Scientist at RJW Logistics Group

Lemont, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Statistical Modeling, Optimization Algorithms, Linear Programming, Integer Programming, Machine Learning, Data Science, Operations Research, Supply Chain Analytics, Pandas, Scikit-learn, Time Series Analysis, Clustering, Regression, Decision-support Tools

Industry

Logistics;Transportation;Supply Chain and Storage

Description

RJW Logistics Group is HIRING! OUR PEOPLE ARE OUR FUTURE. THAT’S WHY THEY COME FIRST. RJW is dedicated to hiring and developing talent who want to make an impact and be a part of an industry-leading organization. At RJW, we are committed to our employees’ success and to producing continuous innovation that drives the retail logistics industry forward. Empower Your Future with Our Employee Ownership Program We are thrilled to announce the launch of our Employee Ownership Program—an exciting opportunity designed to empower, motivate, and reward our dedicated team members. At RJW, we believe that our employees are the heartbeat of our success, and we want to share that success with you. Here’s what you can look forward to: * Ownership Stake: Become a co-owner of the company and take pride in knowing that your hard work directly contributes to your own financial growth and the company's prosperity. * Financial Rewards: Enjoy the potential for increased earnings through share appreciation. * Sense of Belonging: Feel a deeper connection and commitment to your work as you become an integral part of the company's journey and success story. * Community and Collaboration: Join a community of like-minded individuals who are equally invested in the company's mission and vision, fostering a collaborative and supportive work environment. * Cost: Maybe the best detail about this program is that it cost nothing to you. As long as you are employed with RJW, you will enjoy the benefits of the program. Additionally, shares will be given to you on a yearly basis based on salary. Our Employee Ownership Program is more than just a benefit—it's a path to building a brighter, more prosperous future together. Join us in taking this exciting step forward and become a valued co-owner of RJW. Together, we can achieve greatness. The Senior Data Scientist is a strategic hire within the Operations organization, responsible for solving RJW's most complex operational questions through modeling, optimization, and applied data science. This role goes beyond reporting and dashboards — it exists to answer questions that cannot be resolved by querying alone: how labor should be structured, how product should be slotted, how routes should be sequenced, and how volume should be allocated across the network. Reporting to the EVP of Warehouse Transformation, this individual will set the standard for how RJW understands and uses its data, leads the analytical roadmap for the Operations function, and serve as the technical demand signal that shapes the data foundation RJW builds. As the senior-most data science practitioner embedded in Operations, this role will define what good looks like for a maturing analytics practice and ensure that insights translate directly into measurable operational outcomes. Essential Duties and Responsibilities: * Frame, scope, and lead analytical investigations into RJW's highest-value operational questions, translating ambiguous business problems into structured, modelable work. * Design, develop, and deploy statistical models, optimization algorithms, and decision-support tools that drive measurable improvements in labor utilization, throughput, network cost, and service performance. * Own the analytical roadmap for the Operations function, prioritizing problems based on business impact, feasibility, and data readiness in partnership with the EVP of Warehouse Transformation and operational leaders. * Lead modeling efforts across a portfolio of strategic problem areas — examples include shift and labor structure optimization, network-level volume allocation and "right fit" modeling, warehouse slotting strategy, and improvement of internal route and task optimization algorithms. * Define the data, infrastructure, and tooling requirements needed to support advanced analytics at RJW, partnering closely with the Data Engineering team to make critical data available, accessible, and where appropriate, calculated in real time. * Serve as a technical thought partner to the Data Engineering team, providing direction on data models, latency requirements, and analytical surface area without owning platform governance. * Collaborate with the Operations Data Analytics team to ensure tactical analyst work and strategic data science work reinforce one another rather than duplicate effort. * Translate model outputs into clear, actionable recommendations for operational leaders, executives, and cross-functional stakeholders — including the CWO and broader executive team where appropriate. * Establish standards for analytical rigor, model validation, documentation, and reproducibility within the Operations analytics function. * Evaluate and recommend tools, platforms, and methodologies that advance RJW's analytical capability over time. * Mentor and influence analysts, engineers, and operational stakeholders on the appropriate use of data, models, and statistical reasoning. * Bring in specialized expertise (consultants, vendor SMEs, internal partners) when problems require depth outside the scope of any single practitioner. * Stay current with developments in applied data science, operations research, and warehouse and supply chain analytics, recommending adoption where it advances RJW's operational performance. Knowledge, Skills, and Abilities: * Strong applied data science background with demonstrated experience framing and solving operational, supply chain, or logistics problems through modeling and optimization. * Proficiency in Python (pandas, scikit-learn, modern ML and optimization libraries) and SQL; comfort with notebook and production environments. * Working knowledge of optimization techniques (linear and integer programming, heuristics, simulation) and statistical modeling methods (regression, time series, classification, clustering). * Ability to scope problems independently — deciding what is worth modeling, what is a data problem, and what is a process problem — and to recognize the limits of one's own expertise. * Demonstrated ability to communicate complex analytical concepts to operational leaders and executives in plain language, with a focus on decisions and outcomes rather than methods. * Self-starter comfortable operating with significant autonomy in a maturing analytics environment; energized by ambiguity and the opportunity to set direction. * Experience defining data requirements and partnering with engineering teams to bring those requirements to life, without taking on platform ownership. * Strong product and outcome orientation — the ability to drive a model or tool from concept to operational adoption, not just to a notebook deliverable. * Ability to integrate insights from vendors, consultants, and internal subject matter experts into a coherent analytical approach. * Demonstrated judgment in selecting techniques appropriate to the problem and data available, balancing rigor with speed-to-insight. * Collaborative working style; effective across Operations, IT, Continuous Improvement, and executive stakeholders. * High integrity in handling data, models, and recommendations that influence operational and financial decisions. Education and Experience: * Bachelor's degree in a quantitative field (Data Science, Statistics, Mathematics, Operations Research, Computer Science, Economics, Industrial Engineering, or related) required; advanced degree preferred. * 7+ years of professional experience in applied data science, machine learning, or operations research, with demonstrated impact on operational or business outcomes. * Experience leading or substantially contributing to data science work in supply chain, logistics, warehousing, transportation, or comparable operational domains strongly preferred. * Experience working with optimization problems (routing, allocation, slotting, scheduling, or similar) preferred. * Track record of working directly with executive and operational leaders to influence decisions through data. * Experience helping mature an analytics or data science function — including shaping data strategy, partnering with data engineering, and establishing standards — preferred. Work Environment: * While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts, and fumes or airborne particles. The noise level in the work environment will range from quiet to moderately loud. Employer Rights: This job description is intended to provide general information about the Senior Data Scientist position. The above does not constitute an exhaustive list of the job duties to be performed by an associate holding the position of Senior Data Scientist, nor are the lists of the physical requirements and environmental conditions exhaustive. You may be asked by your supervisor or managers to perform other duties. Your performance will be evaluated in part based upon your performance of the job duties listed in this job description, as well as any job duties not specifically listed above that you may be asked from time to time to perform. As with all positions, the duties and responsibilities are subject to change at any time as needs arise and at the discretion of RJW Transport, Inc. The Company has the right to revise this job description at any time. Employment-At-Will: It is the Company’s policy that all associates, other than those covered by a written individual employment or labor agreement with the Company that has been authorized in writing by the Company’s Chief Executive Officer or Board of Directors, are not employed for any fixed term and are employed at the will of the Company for an indefinite period. Just as our associates reserve the right to resign their employment at any time for any reason the Company reserves its right to terminate an associate at any time for any reason either with or without cause. Neither this Job Description nor any of its individual terms constitute commitments between the Company and its associates as to the terms, conditions, or duration of employment, nor does it modify the prevailing Employment-At-Will relationship. This is not the JD in its entirety. Benefits: * MyShare Program (explained above) * 401(k) matching * Medical/Dental/Vision insurance * Employee discount * Flexible spending account * Health savings account * Paid time off * Sick Days * Long-term Disability Insurance * Short-term Disability Insurance * Accidental Insurance * Critical Illness Insurance * Disability Insurance

Responsibilities

Lead the analytical roadmap for the Operations function by solving complex operational questions through modeling and optimization. Design and deploy tools to improve labor utilization, throughput, and network costs while partnering with Data Engineering to build the necessary data foundation.