Lead Data Scientist

Vancouver, BC, Canada; Canada

Conexiom

Instantly turn unstructured trade documents into structured data with The Conexiom Platform.

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Lead Data ScientistOur fully automated, purpose-built solution eliminates the manual processing of business-critical commercial documents with 100% data accurate, touchless transactions. Thesedocuments include purchase orders, invoices, advance shipping notices, and other essentialcommercial documents exchanged between business and their customers. About the Opportunity:With Conexiom's ongoing significant growth, we are propelling our data science endeavorsfurther. As a Lead Data Scientist at Conexiom, you’ll serve as the technical lead, providingstrategic guidance in selecting modeling approaches and mentoring a talented team, whileremaining deeply hands-on. Responsibilities:
  • Serve as the technical lead in defining and refining our modeling approach, balancing traditional machine learning methods with Large Language Models (LLMs) to achieve optimal results.
  • Drive architectural decisions for deep learning models, working closely with engineers to ensure scalability, efficiency, and maintainability.
  • Lead by example, working hands-on with datasets, EDA, models, and implements in production, spending approximately 90% of your time on direct technical work.
  • Offer thought leadership by deeply analyzing complex problems, identifying underlying patterns, and critically evaluating solutions for data science challenges.
  • Mentor Senior Data Scientists and other team members, fostering technical growth and promoting best practices in model development and deployment.
  • Collaborate with the Chief Data Scientist to align data science strategy with business objectives and provide input on high-level goals and projects.
Qualifications:
  • Master’s or Ph.D. degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
  • 5+ years’ experience in developing and deploying machine learning models, including at least 2 years in technical leadership capacity.
  • Expertise in both traditional ML techniques and experience with Large Language Models, including hands-on experience with fine-tuning and application of LLMs.
  • Advanced knowledge of deep learning architectures and the ability to make architectural decisions that impact performance and scalability.
  • Strong proficiency in Python, along with experience in machine learning libraries and frameworks such as TensorFlow, PyTorch, and Scikit-Learn.• Ability to translate business problems into structured data science tasks and effectively communicate findings and recommendations.
  • Experience in a SaaS environment and knowledge of enterprise-class business automation solutions is a plus.
  • Passion for continuous learning and staying current with advancements in machine learning and AI.
About Conexiom:Conexiom is a cloud-based, purpose-built automation platform that automates the most criticaland complex B2B document transactions between buyers and sellers. Manufacturers anddistributors across the globe, such as Grainger, Genpak, Honeywell, and Lonza, trust Conexiomto create resilient operations that scale, drive growth, reduce costs, and build frictionlessrelationships with their customers. Conexiom is based in Vancouver, British Columbia, and hasoffices in Kitchener, Ontario; London, England; and Chicago, Illinois. Visit Conexiom.com.Conexiom embraces diversity and equal opportunity. We are committed to building a teamthat represents a variety of backgrounds, perspectives, and skills. We are working to ensurethat the profile of our staff reflects the profile of the communities we work in and serve. Forthat reason, we seek resumes and expressions of interest from a broad and diverse talent pool.Strength comes from the inclusion of diverse perspectives and experiences.Reasons to work for Conexiom:Our MISSION is to transform broken processes into business valueWe are DATA-driven and RESULTS-focused We show our COMMITMENT to the people that make-up Conexiom by:• Training and development opportunities• Competitive compensation• Work/Life balance – Open PTO Policy in North America & Flex days in the UK• Comprehensive health, dental, & vision insurance We build products & internal processes that increase efficiencies and drive INNOVATION for ourcustomers Our VALUES• We care for each other• We hold ourselves accountable• We make our customers heroes• We over-communicate• We are inclusive & want to make change for the betterConexiom is proud to offer equal employment opportunities. If you have a need that requires accommodation at any time during the recruitment process, please reach out to our Talent Acquisition Manager at aendy@conexiom.com
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Tags: Architecture Computer Science Deep Learning EDA LLMs Machine Learning ML models Python PyTorch Scikit-learn Statistics TensorFlow

Perks/benefits: Career development Competitive pay Health care

Region: North America
Country: Canada

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