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Head Of Data Science Jobs (NOW HIRING)

As our Head of Data within this portfolio organization you'll be leading and developing best ... Establish data science, engineering and advanced analytics as an organizational capability * Design ...

Head of Data Location: New York City, NY | Princeton, NJ | Hartford, CT Employment Type: Full-Time We're looking for an experienced Head of Data to lead enterprise-wide data strategy, governance, and ...

Summary AugmentED, an AERDF-supported AI and education initiative, seeks a Head of Data + AI to ... We're looking for a hands-on technical leader with deep expertise in AI and data science ...

Head of Data

San Francisco, CA · On-site

$230K - $275K/yr

  • Medical

  • Retirement

  • PTO

About the role As the Head of Data, you'll lead and grow our Product Analytics and Data Engineering ... data scientists * Strong technical proficiency with the Modern Data Stack , we use Snowflake, dbt ...

Head of Data

$250K - $315K/yr

S. The role As Head of Data at Alpha, you'll work closely with our CEO to help shape our strategy ... You'll get to hire who you want to hire, mentor high-slope data scientists, and build the culture ...

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Managing and growing a team of data scientists focused on modeling key business problems. * Mentoring and guiding team members as they build out quantitative models in python using industry-standard ...

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Managing and growing a team of data scientists focused on modeling key business problems. * Mentoring and guiding team members as they build out quantitative models in python using industry-standard ...

... of knowledge that lives in someone's head - then use it to give leadership proactive, org-level visibility into what's breaking before anyone has to ask * Lead the data team: hire and manage a mix of ...

Working under the direction of the VP of Data Science, you will pick up in-flight models and dashboards and keep them running and accurate. You should be comfortable in a fast-moving environment and ...

Director of Data Science

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Director of Data Science Position Summary We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence ...

Director of Data Science

Dallas, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Director of Data Science Position Summary We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence ...

Showing results 41-60

Head Of Data Science information

What are some common challenges faced by heads of data science in their day-to-day work?

A Head Of Data Science often encounters the challenge of balancing technical innovation with business objectives, ensuring that data projects align with overall company goals. They must navigate complex data environments, ensuring data quality and governance while managing teams with varied skill sets. Collaboration across departments, such as engineering, product, and business units, is essential to integrate analytics solutions effectively. Additionally, they are responsible for mentoring team members and communicating complex insights to non-technical stakeholders, which requires both technical depth and strong interpersonal skills.

What is a head of data science?

The Head of Data Science is responsible for leading a company's data science strategy, managing data teams, and developing advanced analytics solutions to drive business value. They oversee data-driven decision-making, model development, and the deployment of AI/ML technologies. This role requires strong leadership, technical expertise, and the ability to collaborate with cross-functional teams to align data initiatives with business goals.

What are the key skills and qualifications needed to thrive as a head of data science?

To thrive as a Head Of Data Science, you need advanced expertise in machine learning, statistical modeling, and data strategy, usually backed by a graduate degree in a quantitative field and extensive industry experience. Familiarity with programming languages like Python or R, cloud platforms, and tools such as SQL, Spark, or TensorFlow, as well as experience with data governance frameworks, is highly valued. Strong leadership, strategic vision, and communication skills help drive cross-functional collaboration and inspire diverse teams. These skills are crucial for delivering business value, guiding data-driven decisions, and scaling impactful analytics initiatives across the organization.

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Infographic showing various Head Of Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 19 days ago


Job description

Role Description
HomeSight, an UP.Labs company is seeking a proven Head of Data with a track record of scaling technical teams in a 0-to-1 Environment to lead a ML-based product rapidly scaling within our portfolio - leveraging Computer Vision, Recommendation Engine and AR. As our Head of Data within this portfolio organization you'll be leading and developing best practices for data identification, capturing, modeling, testing, and deployment, as well as building mobile and web based data collectors, data processing pipelines, and predictive ML models. You'll also have access to the UP.Partners ecosystem - an expansive team across product, engineering, design, analytics, marketing, legal, talent, finance, and venture capital available to help advise & scale the portfolio organization quickly.

In this role you will:
  • Immediately step into a business built for success - quickly utilizing the UP.Ecosystem for advisory and connections, work directly with a highly qualified CEO and corporate partner closely invested in the success of this org., and manage an already-established product market fit; harnessing our proven & strict methodology to potentially achieve quick and long-term wins.
  • Oversee and lead the data org; leading with a hands-on approach to building processes & playbooks, recruiting your team, setting goals, strategy alignment, and managing expectations with internal teams, corporate partners, investors, and UP.Labs.
  • Establish data science, engineering and advanced analytics as an organizational capability
  • Design, construct, and manage the data architecture, including data warehouses, data lakes, and data pipelines
  • Oversee data privacy and security protocols to ensure compliance and safeguard sensitive information.
  • Direct the application of machine learning, particularly computer vision, to our product and service offerings
  • Hire, retain, and mentor a world-class team consisting of diverse skill-sets; enhance employee performance via evaluation and coaching.
You should have:
  • 8+ years experience within data engineering and/or science with 5+ years of experience leading, developing, and scaling data teams
  • Success as a cross-functional people manager of an operationally complex, high-growth environment with an ability to be hands-on while allocating resources correctly.
  • Expertise in data storage, retrieval, and data architecture
  • Leadership experience; preferably early-stage, venture backed growth companies in ML, computer vision, Recommendation Engine and AR.
  • Experience working in hyper-growth start-up retail ventures, preferably as an early-stage leader
  • Extensive knowledge of data architecture, including data warehouses, data lakes, and pipelines
  • Experience working with agile, lean and Continuous Delivery approaches, such as Continuous Integration, TDD, Infrastructure as Code, etc
  • Experience building cloud native software architectures
  • High EQ and low ego; you carry an executive presence regardless of years of experience.
  • You've helped to recruit and retain world-class talent, while developing a values-oriented, high-performance culture.
  • Exceptional collaboration, communication, and leadership skills.
UP.Labs Summary:
We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.
Our platform is unique in three ways:
  1. Risk: We reward our entire team and ecosystem of partners with meaningful equity
  2. Technology: We build and launch scalable technology products that form the basis for each venture
  3. Industry Focus: We stay focused on the underlying fabric of retail mobility
We work with corporate investors over a multi-year period to launch a portfolio of ventures. Our team is dedicated to the first year of a new venture's life cycle: from ideation to minimum viable product build - and beyond.
Employment Type: FULL_TIME