Overview
On Site
200k - 240k
Full Time
Skills
Management
Electronic Commerce
Roadmaps
Leadership
Innovation
Team Building
Data Science
Data Engineering
Scratch
Real-time
Brand
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Communication
Strategic Thinking
SQL
Python
Analytics
Machine Learning (ML)
Predictive Modelling
Team Management
Strategic Planning
Collaboration
Insurance
SAP BASIS
Job Details
We're looking for a Director of Data Science to join a growing enterprise headquartered in City of Industry, CA, managing a diverse set of brands in the home services, ecommerce, and water tech space. This full-time hybrid role (2-3 days onsite per week) offers the unique opportunity to define the company's data roadmap from square one, using SQL and Python to unify data sources and generate insights across multiple business lines.
This is more than just a leadership gig-it's a chance to build your dream data org. You'll shape the tools, teams, and strategies that guide data innovation across a portfolio of household-name brands. We're talking high-impact work, full executive backing, and real autonomy. If you thrive in start-from-scratch challenges and want your fingerprints on everything from infrastructure to ML to team building-this is your moment. There's one Data Scientist on deck already, and you'll be leading the charge to build a 6-person team. Your playbook. Your legacy.
Required Skills & Experience
15+ years of experience across data science, data engineering, and analytics
Strong expertise in SQL and Python
Proven experience scaling data teams and building infrastructure from scratch
Familiarity with ML models and real-time analytics
Desired Skills & Experience
Background in multi-brand or multi-product organizations
Cloud platform experience (AWS, Google Cloud Platform, or Azure)
Great communication and strategic thinking
What You Will Be Doing
Tech Breakdown
40% SQL & Python (Pipeline + Analytics)
30% Infrastructure + Architecture
30% Machine Learning + Predictive Modeling
Daily Responsibilities
40% Hands On
35% Team Management and Growth
25% Strategic Planning and Collaboration
The Offer
Eligible for a discretionary performance bonus
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
This is more than just a leadership gig-it's a chance to build your dream data org. You'll shape the tools, teams, and strategies that guide data innovation across a portfolio of household-name brands. We're talking high-impact work, full executive backing, and real autonomy. If you thrive in start-from-scratch challenges and want your fingerprints on everything from infrastructure to ML to team building-this is your moment. There's one Data Scientist on deck already, and you'll be leading the charge to build a 6-person team. Your playbook. Your legacy.
Required Skills & Experience
15+ years of experience across data science, data engineering, and analytics
Strong expertise in SQL and Python
Proven experience scaling data teams and building infrastructure from scratch
Familiarity with ML models and real-time analytics
Desired Skills & Experience
Background in multi-brand or multi-product organizations
Cloud platform experience (AWS, Google Cloud Platform, or Azure)
Great communication and strategic thinking
What You Will Be Doing
Tech Breakdown
40% SQL & Python (Pipeline + Analytics)
30% Infrastructure + Architecture
30% Machine Learning + Predictive Modeling
Daily Responsibilities
40% Hands On
35% Team Management and Growth
25% Strategic Planning and Collaboration
The Offer
Eligible for a discretionary performance bonus
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.