Senior Data Scientist

Posted 2 Days Ago
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Vaughan, ON, CAN
In-Office
Senior level
Information Technology • Consulting
The Role
The Senior Data Scientist will develop optimization models using MILP and machine learning techniques for supply chain decision systems, ensuring scalability and reliability. Responsibilities include translating business requirements into analytical problems, diagnosing model issues, and collaborating with cross-functional teams.
Summary Generated by Built In
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
  • 8–15+ 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.
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The Company
Ahmedabad, Gujarat
345 Employees
Year Founded: 2007

What We Do

@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry

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