Senior Data Scientist

DevHub, Inc.; United States; Remote; USD 85,000 - 127,000; Full time

Benefits offered by this job

Competitive compensation

Performance incentives

Ownership culture

Agility and innovation

Job summary

TechBlocks is seeking a Senior Data Scientist in Vaughan to lead optimization-driven decision systems for supply chain operations, including routing and scheduling. You will own and enhance scalable models, integrating ML with optimization while translating business needs into rigorous analytical solutions.

The role requires 8+ years in data science or O.R., strong Python/SQL skills, and experience with Gurobi, Azure, and Databricks.

Qualifications

• Minimum 8 years in data science or operations research.
• Strong optimization (MILP, VRP, scheduling) and machine learning expertise.
• Proficiency in Python and SQL with production-grade workflows.

Responsibilities

• Develop and enhance optimization models for routing, scheduling, and resource allocation.
• Integrate ML inputs with optimization frameworks and ensure scalability.
• Translate business needs into formal optimization problems with clear assumptions.
• Diagnose infeasibilities and bottlenecks; analyze trade-offs among cost, service level, and feasibility.
• Build data pipelines in Python/SQL and deploy in Azure/Databricks cloud environments.
• Ensure data quality and model reliability; support continuous improvement and collaboration with teams.
• Provide guidance to junior team members and participate in technical design discussions.

Skills

8+ years experience in data science

Optimization and ML

Python

SQL

Tools

Gurobi

Azure

Databricks

Job description

Job Title: Senior Data Scientist

Location: Vaughan

Role Overview

We are seeking a Senior Data Scientist with strong expertise in optimization and applied machine learning to support the development of large-scale decision systems in supply chain operations, including routing, scheduling, and resource allocation. This is a hands-on, execution-focused role working under the Data Science Lead. The successful candidate will own and enhance components of analytical and optimization models, ensuring they are scalable, reliable, and aligned with business needs. The role requires the ability to connect business requirements with data science solutions, operate in a fast-paced environment, and communicate effectively with both technical and non-technical stakeholders.

Key Responsibilities

• Develop and enhance optimization models using MILP and heuristic approaches, applying them to problems such as vehicle routing, scheduling, and resource allocation, and improving performance using solvers such as Gurobi
• Apply machine learning techniques to support decision systems, including predictive modeling, feature engineering, and generating inputs for optimization models, while ensuring strong integration between ML and optimization frameworks
• Translate business requirements into structured analytical and optimization problems, incorporating operational constraints and clearly communicating model assumptions, trade-offs, and outcomes to stakeholders
• Diagnose and resolve model issues including infeasibility, performance bottlenecks, and data inconsistencies, while analyzing trade-offs across cost, service level, and operational feasibility
• Develop and maintain data workflows using Python and SQL, and support scalable processing and deployment within cloud environments such as Azure and Databricks
• Ensure data quality and model reliability by validating inputs, identifying gaps, and supporting feedback loops to improve model accuracy and alignment with operations
• Collaborate with cross-functional teams, take ownership of model components, contribute to technical design discussions, and provide guidance to junior team members

Qualifications

• 8+ years of experience in data science, operations research, or a related field
• Strong hands-on experience in optimization (e.g., MILP, VRP, scheduling) and machine learning
• Proficiency in Python and SQL
• Experience working with optimization solvers such as Gurobi
• Familiarity with Azure and Databricks environments
• Proven ability to translate business problems into data-driven solutions
• Strong problem-solving skills and ability to work in fast-paced environments
• Effective communication skills with both technical and business stakeholders

Preferred Qualifications

• Experience in supply chain, logistics, or operations-focused environments
• Familiarity with large-scale optimization techniques or heuristic methods
• Experience working with distributed data systems or cloud-based analytics platforms

What Success Looks Like

You will deliver reliable and scalable model components that drive operational decisions, effectively bridge the gap between business and analytics, and contribute to measurable improvements in efficiency, service levels, or cost.

Why TechBlocks

Work directly with Fortune 500 executives and digital transformation leaders.

Be part of a fast-growing, AI-native software engineering firm redefining global delivery through our GCC-as-a-Service model.

Collaborate with global teams in Canada, the U.S., and India on cutting-edge cloud and AI initiatives.

• Competitive compensation, performance incentives, and a culture that values ownership, agility, and innovation.