MathCo · 9 hours ago
Engagement Manager, Data Science (Recommender Systems)
San Francisco Bay Area
Full-time
Onsite
Senior Level
6+ years expMathCo is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision-making. They are seeking an Engagement Manager with expertise in Recommender Systems to lead complex engagements with enterprise clients in the retail and e-commerce domain.
AnalyticsArtificial Intelligence (AI)Business IntelligenceData VisualizationManagement Consulting
Responsibilities
Own the client relationship and act as the strategic interface between MathCo and senior stakeholders at large retail or e-commerce enterprises
Lead the end-to-end delivery of recommendation system projects — from problem framing and modeling approach to deployment and performance optimization
Oversee technical discussions on model architecture, feature engineering, loss/activation functions, and evaluation metrics (e.g., NDCG, MAP)
Translate analytical outcomes into clear, data-backed recommendations that influence business strategy and drive measurable impact
Collaborate closely with cross-functional teams (Data Engineering, MLOps, and Product) to operationalize recommender systems using modern AI tech stacks (TensorFlow, PyTorch, BERT, NCF)
Build and mentor a team of data scientists and machine learning engineers, ensuring best practices in project management, technical quality, and client communication
Identify business development opportunities within existing engagements and support pre-sales discussions with prospective clients
Qualification
Required
Strong hands-on understanding of recommender systems, personalization algorithms, and ranking models
Deep familiarity with BERT, NCF, neural network architectures, and feature embedding methods
Proficiency in Python, with experience in TensorFlow/PyTorch frameworks
Working knowledge of data pipelines, feature stores, and MLOps practices
Excellent client-facing skills: can communicate complex technical solutions in a clear and business-relevant way
Ability to lead analytical engagements, align multiple stakeholders, and manage delivery timelines in dynamic environments
High comfort level with ambiguity and change, with a focus on problem-solving and measurable results
Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative discipline
6–10 years of total experience, including at least 3–4 years in machine learning or recommender systems projects
Proven track record managing analytics or AI engagements for large retail, e-commerce, or consumer brands (e.g., Amazon, Walmart, Target, Wayfair, Instacart, eBay, DoorDash, etc.)
Preferred
Master's in Business Analytics, Data Science, or equivalent is preferred
Consulting experience in AI/ML or advanced analytics is highly desirable
Company
MathCo
Global Enterprise AI and Analytics company
1001-5000 employees
H1B Sponsorship
MathCo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (43)
2024 (25)
2023 (30)
2022 (34)
2021 (20)
2020 (9)
Funding
Current Stage
Late StageTotal Funding
$50MKey Investors
Brighton Park CapitalPatni Wealth Advisors
2022-01-13Private Equity· $50M
2019-05-30Series Unknown
Leadership Team
Anuj Krishna
Co-Founder
Aakarsh Kishore
Partner, Head of Customer Success
Recent News
solutionsreview.com
2025-09-27
TheMathCompany Pvt Ltd
2025-09-23
Company data provided by crunchbase