ML Science Manager

Job title:

ML Science Manager

Company

Syndesus

Job description

Are you a seasoned leader in ML/DS with a passion for building intelligent systems? We’re looking for a manager to lead our exceptional client’s team of ML scientists in developing and deploying impactful AI/ML models for dynamic pricing and personalized recommendations. This role offers the chance to directly influence how they interact with their customers and drive significant business impact.As the Manager of Machine Learning Science, you’ll be a key player in shaping their AI/ML strategy, leading the creation of algorithms and models that optimize the customer journey and contribute to growth. This is a hands-on leadership position where you will mentor and guide your team, work closely with ML Engineering and Data Engineering, and collaborate across departments (Marketing, Product, Sales, and Engineering) to ensure alignment and maximize the impact of your work. You’ll report directly to the Senior Manager of Consumer Machine Learning.This is a permanent, full-time, remote-first hybrid role (ie no strict cadence for on-site, just when needed) for candidates located in or near either Toronto, or Kitchener/WaterlooWhat You Will Do:

• Lead and mentor a team of talented ML scientists, fostering a collaborative and innovative environment.
• Develop and implement the ML Science strategy for pricing, recommendations, and personalized customer experiences, aligning with overall business goals.
• Oversee the design, development, and deployment of ML models using customer behavior and subscription data. Experience with both established and newer ML techniques is a plus.
• Guide the team in using and refining reinforcement learning methods (e.g., contextual bandits, SARSA, Q-learning) and exploration strategies (e.g., epsilon-greedy, Thompson sampling, UCB).
• Partner with Marketing, Product, Sales, and Engineering to ensure that ML solutions support business objectives and deliver measurable results.
• Create algorithms to optimize customer interactions, improve conversion rates, and support monetization strategies. Design and run A/B and multivariate tests to validate and improve model performance.
• Stay up-to-date with the latest advancements in ML and contribute to the development of new algorithms and applications. Share your knowledge through presentations, publications, and industry events.

What You Will Need:

• 7+ years of experience in machine learning, including some experience in or strong predeliction towards managing ML/DS professionals.
• A track record of driving technical innovation and mentoring teams.
• Strong expertise in classical and deep learning techniques (e.g., XGBoost, Random Forest, SVM, deep neural networks), reinforcement learning (e.g., contextual bandits, SARSA, Q-learning), and proficiency in Python, SQL, and ML frameworks.
• Experience with ML libraries such as PyTorch, Scikit-learn, and similar tools.
• Solid background in feature engineering, model validation, and performance measurement.
• Good understanding of the mathematical and statistical principles behind machine learning algorithms (e.g., linear algebra, calculus, probability).
• Experience researching and applying new ML techniques to solve real-world problems.
• Excellent communication skills, with the ability to explain complex technical ideas to different audiences.
• Ability to work effectively with teams across different departments.

About the Company:Our client is a leading, globally recognized company in consumer security, focused on protecting people in today’s digital world. They value diversity and inclusion and encourage everyone to bring their full selves to work. They offer a competitive benefits package, including bonus programs, retirement plans, health coverage, paid time off, paid parental leave, and opportunities for community involvement.

Expected salary

Location

Toronto, ON – Waterloo, ON

Job date

Thu, 27 Feb 2025 08:58:02 GMT

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