Data Science / ML Manager
The Data Science Manager leads teams of data scientists and machine learning practitioners, ensuring predictive and algorithmic initiatives deliver concrete business value rather than remaining academic exercises.
The Data Science Manager leads teams of data scientists and machine learning practitioners, ensuring predictive and algorithmic initiatives deliver concrete business value rather than remaining academic exercises.
The position requires sound judgment in statistical methods, the ability to manage stakeholder expectations around uncertainty, and strong partnership with engineering teams handling production deployment.
Methodologies & technical foundations (% penetration)
Infrastructure & tooling demanded in job specs (% penetration)
Seniority Level Breakdown
Corporate hierarchy distribution
Top Hiring Enterprises
Leading corporations posting this role
- eBay Inc.8 positions
- Alphabet Inc. (Class A)6 positions
- Alphabet Inc. (Class C)6 positions
- Google (Alphabet)6 positions
- UnitedHealth Group3 positions
- Reddit3 positions
S&P 500 Sector Distribution
Industry sectors generating the highest hiring demand
- Communication Services41.2%
- Consumer Discretionary23.5%
- Health Care11.8%
- Industrials9.8%
- Information Technology7.8%
Live Enterprise Job Postings
Sample of active postings directly from corporate ATS boards
Machine Learning Manager, Feed Ecosystems
Senior Data Science Manager, Algorithms
OMT OI AI Manager
Data Science Manager
Senior Data Science Manager
AI Manager - Language Models (Canada Remote)
AI Manager, Product Management (Flex)
Sr AI Manager
Recommended Skill Tracks & Certifications
Curated programs on Coursera, DataCamp and cloud providers aligned with these role requirements
Google Cloud Professional Data Engineer Specialization
Official curriculum by Google Cloud covering large-scale data processing with BigQuery, streaming pipelines with Dataflow, and modern lakehouse architecture.
Data Engineer with Python Career Track
Interactive, browser-based coding track covering robust data pipelines, PostgreSQL, unit testing, software design patterns for data, and PySpark fundamentals.
Generative AI with Large Language Models
Created by Andrew Ng and AWS: practical engineering foundations of transformer architectures, pre-training, instruction fine-tuning, and alignment evaluation in production.
Google Cloud Professional Data Engineer
Gold standard certification assessing design, security, scalability, and operational reliability of BigQuery and GCP analytical pipelines.
Databricks Certified Data Engineer Professional
Validates mastery of streaming, batch ETL, Unity Catalog governance, and production Lakehouse architectures with Delta Lake and Spark.