Senior Applied Scientist, Scheduling and Optimization job opportunity at Jobgether.

Home Jobs In Canada Tag: Scheduling and Optimization Senior Applied Scientist, Scheduling and Optimization position at Jobgether


Date2026-05-04 bot
Jobgether Senior Applied Scientist, Scheduling and Optimization
Experience: 5-years
Pattern: Full-time
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Scheduling and Optimization

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degreeHigh School (S.S.C.E)
loacation Canada, Canada
loacation Canada....Canada
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<p> </p><p data-start="0" data-end="166"><strong>This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Applied Scientist, Scheduling and Optimization in Canada.</strong></p> <p data-start="168" data-end="1303">This role focuses on building and evolving the core optimization and constraint-solving intelligence behind a next-generation scheduling system used by enterprise maintenance teams. You will design and improve advanced scheduling models that transform complex real-world constraints—such as workforce availability, multi-site operations, and production windows—into reliable, executable schedules. Working at the intersection of machine learning, operations research, and product engineering, you will help shape how AI-driven scheduling is delivered through modern GenAI-powered workflows. The environment is highly collaborative, blending product thinking with deep technical problem-solving and continuous iteration with real users. You will partner closely with product, design, and engineering teams to ensure the system produces practical, trusted outcomes in production settings. This is a high-impact role where your work directly influences operational efficiency for large-scale enterprise customers. The team operates in a fast-paced, experimentation-driven culture focused on real-world performance and measurable impact.</p> <p></p>\n<p></p><p><br></p><b>Accountabilities</b><div> <ul data-start="1332" data-end="2407"> <li data-section-id="mxlhe8" data-start="1332" data-end="1485">Own and evolve the Python-based constraint optimization engine powering scheduling intelligence, continuously improving its modeling and performance.</li> <li data-section-id="zbt2w5" data-start="1486" data-end="1648">Design and implement advanced scheduling capabilities, including workforce constraints, capacity planning, multi-site coordination, and reactive rescheduling.</li> <li data-section-id="2gmjmm" data-start="1649" data-end="1765">Translate complex real-world operational challenges into robust constraint formulations and optimization models.</li> <li data-section-id="1kpu54h" data-start="1766" data-end="1895">Build APIs and structured interfaces that expose optimization capabilities to GenAI agent workflows and tool-calling systems.</li> <li data-section-id="33ld88" data-start="1896" data-end="2024">Collaborate with product and design teams to refine scheduling requirements and ensure solutions align with real user needs.</li> <li data-section-id="1sqtusj" data-start="2025" data-end="2133">Iterate on optimization models using real-world feedback from enterprise customers and production usage.</li> <li data-section-id="1dkowzi" data-start="2134" data-end="2256">Enhance service reliability through improvements in testing, observability, performance tuning, and system robustness.</li> <li data-section-id="1j0nur9" data-start="2257" data-end="2407">Contribute to integrating scheduling intelligence with broader platform systems, including learning from execution data to improve model accuracy.</li> </ul> <hr data-start="2409" data-end="2412"> <h2 data-section-id="7ro8sp" data-start="2414" data-end="2431">Requirements</h2> <ul data-start="2432" data-end="3682"> <li data-section-id="xjjv4i" data-start="2432" data-end="2614">5+ years of professional software engineering experience with strong exposure to optimization, constraint programming, or operations research problems in production environments.</li> <li data-section-id="th4y5q" data-start="2615" data-end="2763">Hands-on expertise with CP-SAT and familiarity with other optimization approaches such as MILP solvers (Gurobi, CPLEX, HiGHS) or metaheuristics.</li> <li data-section-id="1qxbtt5" data-start="2764" data-end="2895">Strong Python engineering skills, including API development, system design, testing, and observability for production services.</li> <li data-section-id="16y9s7s" data-start="2896" data-end="3014">Experience shipping optimization systems used by real users and iterating based on feedback and observed outcomes.</li> <li data-section-id="srec9h" data-start="3015" data-end="3143">Solid academic background in Operations Research, Industrial Engineering, Computer Science, or a related quantitative field.</li> <li data-section-id="dklnnv" data-start="3144" data-end="3242">Strong product mindset with a focus on user outcomes, system usability, and measurable impact.</li> <li data-section-id="16dsjfm" data-start="3243" data-end="3345">Comfort working with ambiguity and collaboratively defining constraint models and system behavior.</li> <li data-section-id="4me2nc" data-start="3346" data-end="3454">Familiarity with GenAI concepts such as tool calling, structured outputs, or prompt-based system design.</li> <li data-section-id="1rg8nny" data-start="3455" data-end="3538">Strong communication and collaboration skills in cross-functional environments.</li> <li data-section-id="96vb1h" data-start="3539" data-end="3682">Nice to have: experience with large-scale scheduling systems, workforce planning, logistics, or learning-augmented optimization approaches.</li> </ul> <hr data-start="3684" data-end="3687"> <h2 data-section-id="33fg5d" data-start="3689" data-end="3702">Benefits</h2> <ul data-start="3703" data-end="4147"> <li data-section-id="1sjvdpx" data-start="3703" data-end="3763">Competitive salary with meaningful equity opportunities.</li> <li data-section-id="afuuok" data-start="3764" data-end="3822">Comprehensive healthcare, dental, and vision coverage.</li> <li data-section-id="1nqbdp9" data-start="3823" data-end="3889">Retirement savings plan (401(k) / RRSP depending on location).</li> <li data-section-id="1v4r8mv" data-start="3890" data-end="3924">Flexible unlimited PTO policy.</li> <li data-section-id="su7evu" data-start="3925" data-end="3987">Remote-friendly and globally distributed work environment.</li> <li data-section-id="125whnn" data-start="3988" data-end="4069">Collaborative, merit-driven culture that values impact, ideas, and execution.</li> <li data-section-id="beisx1" data-start="4070" data-end="4147">Opportunity to work on cutting-edge AI and optimization systems at scale.</li> </ul> </div><p><br></p><p></p>\n<p><strong>How Jobgether works:</strong></p> <p>We use an <strong>AI-powered matching process</strong> to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.</p> <p>We appreciate your interest and wish you the best!</p> <p><a href="https://jobgether.com/how-jobgether-works">&nbsp;Why Apply Through Jobgether?</a>&nbsp;</p> <p>&nbsp;</p> <p><strong>Data Privacy Notice:</strong> By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>#LI-CL1</p>

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