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Director Data Science Startup Jobs in Colorado (NOW HIRING)

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Provenexperience working in a fast-paced, agile, or startup-like environment. You must have a ...

As the Data Science Team Leader, you will be a critical part of our expanding global data ... We are intentionally recruiting for a specific kind of professional: someone with a startup mindset ...

As the Data Science Team Leader, you will be a critical part of our expanding global data ... We are intentionally recruiting for a specific kind of professional: someone with a startup mindset ...

... Director, Data Collective to lead the team that owns Sovrn's data platform end-to-end: the ... Partner with Product, Data Science, AI/ML, Platform, and Security teams to ship end-to-end and to ...

... Director, Data Collective to lead the team that owns Sovrn's data platform end-to-end: the ... Partner with Product, Data Science, AI/ML, Platform, and Security teams to ship end-to-end and to ...

Executive Director, Data Platforms

Englewood, CO · On-site +1

$218K - $327K/yr

... Director, Data Platforms to lead the strategy, architecture, and execution of our data ... Partner with analytics, data science, and product teams to understand requirements and remove ...

Junior Data Scientist

Denver, CO · On-site +1

$70K - $85K/yr

We want a candidate with a "startup attitude"-someone who is energetic, eager to learn, and ... Reporting directly to the Data Science Team Leader, you will collaborate with Machine Learning ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Your models will have a direct impact on financial decisions, operational efficiency, and customer ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ ...

Your models will have a direct impact on financial decisions, operational efficiency, and customer ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ ...

Partner with feature team engineering, data science, and external data partners to enable business ... Director, Data Platform Engineering Additional Information Contact: Scott Schoenberger

Partner with feature team engineering, data science, and external data partners to enable business ... Director, Data Platform Engineering Additional Information Contact: Scott Schoenberger

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Showing results 1-20

Director Data Science Startup information

What are some unique challenges a Director of Data Science faces in a startup environment?

As a Director of Data Science in a startup, you will often need to balance hands-on technical work with strategic leadership, since resources and team sizes are usually limited. You'll likely be tasked with building and mentoring a team from the ground up, establishing best practices, and aligning data initiatives with fast-changing business goals. Additionally, you may need to advocate for data-driven decision-making across non-technical teams and adapt quickly as the company's priorities shift. This environment fosters rapid professional growth but requires flexibility, strong communication skills, and a willingness to wear multiple hats.

What is the difference between Director Data Science Startup vs Data Scientist?

AspectDirector Data Science StartupData Scientist
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on data analysis, model development, research
Employer & Industry UsageStartups, tech companies, innovation-driven firmsVaries from startups to large corporations, research labs
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project work, data analysis

The Director Data Science Startup typically holds a leadership position with strategic oversight and team management responsibilities, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on technical data analysis and model development, often with less emphasis on leadership. Both roles are common in startup environments and tech industries, but they differ significantly in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Director of Data Science at a Startup, and why are they important?

To thrive as a Director of Data Science at a startup, you need deep expertise in statistical modeling, machine learning, and data strategy, often supported by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, GCP), and experience with data pipeline architectures are typically required. Strong leadership, communication, and business acumen are vital soft skills for aligning data initiatives with startup objectives and motivating cross-functional teams. These skills are crucial for driving product innovation, scaling data operations, and delivering actionable insights in a fast-paced, resource-constrained environment.

What does a Director of Data Science do at a startup?

A Director of Data Science at a startup leads the development and execution of data-driven strategies, overseeing teams of data scientists and analysts to drive business growth. They are responsible for aligning data initiatives with the company's goals, building predictive models, and ensuring the integrity and scalability of data solutions. This role often involves close collaboration with engineering, product, and executive teams to translate business needs into actionable data projects. Additionally, they help shape the data culture and mentor team members in a fast-paced, resource-constrained environment.
What are the most commonly searched types of Data Science Startup jobs in Colorado? The most popular types of Data Science Startup jobs in Colorado are:
What are popular job titles related to Director Data Science Startup jobs in Colorado? For Director Data Science Startup jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Director Data Science Startup jobs in Colorado look for? The top searched job categories for Director Data Science Startup jobs in Colorado are:
What cities in Colorado are hiring for Director Data Science Startup jobs? Cities in Colorado with the most Director Data Science Startup job openings:

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Overview

Epsilon's Data Science & AI (DSAI) practice within Analytics Services team is seeking a Director of Analytics to lead the delivery of advanced analytics and AI solutions that drive measurable business impact for our clients.

In this role, you will partner closely with analytics consulting, strategy, and client service teams to translate complex business challenges into actionable data science and AI solutions. You will lead global onshore and offshore data science teams to deliver high-impact solutions while ensuring alignment with client objectives.

This role requires strong leadership and the ability to connect business strategy with advanced analytics and AI capabilities within a cross-functional, customer-focused environment.  

Responsibilities
  • Partner with analytics consulting, strategy, and client service teams to translate business needs into data science and AI solutions
  • Collaborate with cross-functional teams to ensure the successful execution of advanced analytics, machine learning and AI solutions for clients
  • Lead onshore and offshore data science teams in delivering end-to-end analytics solutions, including work prioritization, task allocation, and quality assurance of deliverables
  • Drive analytical rigor and procedures in modeling, experimentation (A/B testing, causal inference), and measurement
  • Contribute to initiatives that improve analytics delivery efficiency, including the standardization of methodologies, development of scalable frameworks, and adoption of innovative approaches
  • Communicate insights, recommendations, and business impact clearly to clients and collaborators
Qualifications
  • 10+ years of experience in data science, analytics, or machine learning (marketing analytics experience strongly preferred)
  • Strong expertise in statistical modeling, machine learning, and applied analytics
  • Experience leading onshore and offshore data science teams in a global delivery model
  • Strong understanding of experimentation and measurement (A/B testing, causal inference, multi-channel attribution)
  • Ability to translate complex analytical concepts into clear business recommendations
  • Experience working with large-scale data environments (e.g., Databricks, Spark) is preferred
  • Hands-on coding experience in Python is a plus
  • Familiarity with MLOps and Generative AI / LLM applications is a plus
  • Master's degree in a quantitative field (PhD or MBA a plus)

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Additional Information

When You Join Us, We'll Create Something EPIC TogetherEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.

Because You Matter

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first.  Our benefits encompass a wide range of offerings, including but not limited to the following:  

  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time  
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance  
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling  

Epsilon benefits are subject to eligibility requirements and other terms. 

Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.

 Compensation Range: USD $169,100.00 - USD $314,000.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/21/2026.Employment Type: FULL_TIME