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Data Scientist

Roles & Responsibilities

  • 3+ years in data science / applied research / analytics engineering (or equivalent), delivering models or algorithms used in real workflows
  • Demonstrated experience in applied ML for operational prediction (time, demand, performance, risk)
  • Demonstrated experience in operations research / optimization (routing, scheduling, inventory, network/warehouse optimization)
  • Simulation-based analysis for operational decision-making

Requirements:

  • Build and deploy predictive models for operational planning and execution (e.g., cycle time, throughput, labor/time estimation, service levels)
  • Develop and improve optimization and decision algorithms (e.g., routing, replenishment, inventory positioning, parameter estimation)
  • Design experiments and evaluation frameworks to validate impact (accuracy, latency, cost reduction, productivity lift)
  • Partner with software engineers to ensure solutions are production-ready (reliable inference, monitoring, versioning, performance tuning)

Job description

About the Role

We’re hiring a Data Scientist who can solve real operational problems with a mix of applied machine learning, optimization, and analytics. This role is for someone who likes taking ambiguous business questions (time prediction, routing, replenishment, demand estimation, warehouse performance) and turning them into models, algorithms, and decision support that can be deployed and used at scale.

You’ll work closely with operations, engineering, and product stakeholders to design solutions that are accurate, explainable, and practical—balancing model performance with latency, maintainability, and business adoption.

Key Responsibilities

  • Build and deploy predictive models for operational planning and execution (e.g., cycle time, throughput, labor/time estimation, service levels)
  • Develop and improve optimization and decision algorithms (e.g., routing, replenishment, inventory positioning, parameter estimation)
  • Design experiments and evaluation frameworks to validate impact (accuracy, latency, cost reduction, productivity lift)
  • Translate business workflows into model-ready problem statements, features, and measurable success criteria
  • Partner with software engineers to ensure solutions are production-ready (reliable inference, monitoring, versioning, performance tuning)
  • Create clear documentation and stakeholder-ready summaries of methodology, assumptions, and results
  • Contribute to architecture and scaling decisions for data/ML solutions (performance, robustness, and maintainability)

Experience (Required)

  • 3+ years in data science / applied research / analytics engineering (or equivalent), delivering models or algorithms used in real workflows
  • Demonstrated experience in at least one of:
    • Applied ML for operational prediction (time, demand, performance, risk)
    • Operations research / optimization (routing, scheduling, inventory, network/warehouse optimization)
    • Simulation-based analysis for operational decision-making
  • Comfortable working cross-functionally and driving work from problem definition through delivery

Skills (Preferred)

  • Supply chain / distribution center / manufacturing operations domain experience
  • Optimization tooling experience (e.g., CPLEX or similar solvers)
  • Experience balancing accuracy with low-latency inference and real-world constraints
  • Strong communication skills: can explain tradeoffs and results to technical and non-technical partners

 

 

 

About Us:  

Conveyor may be in our name, but it’s only part of what we do. DCS was founded in 1982 and has grown to serve major clients in multiple industries by providing material handling, full-scale warehouse operations and conveyor design solutions that are custom crafted for their need. We don’t sell ready-made systems - we build relationships that empower us to craft custom solutions together. It’s the teamwork approach, sharing ideas and building upon them, that produces the best results.    

And DCS is committed to creating an extraordinary employment experience for our team. We work like crazy to hire and develop great people, build relationships, and ensure that the programs and services we offer our team are among the best in the business- from a killer snack wall and casual work environment to flexible PTO and opportunities to give back within the community.

 

More reasons to join our team:    

  • We pride ourselves in our family-like culture and casual, but focused, work environment    
  • We offer competitive salaries and health benefits    
  • Our 401K program includes a 100% match up to 5%    
  • Participation in our Discretionary Profit-Sharing Program    
  • We offer our employees flexibility and autonomy    
  • We do community outreach projects throughout the year    
  • We know how to throw company events    
  • We work hard, but we also know how to have fun - darts, anyone?

 

Individuals seeking employment at Designed Conveyor Systems are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Accommodation is available to applicants with a disability condition, when applying, testing, or interviewing for a position. Please let us know if you need accommodation.

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