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Data Science New Grad Jobs in Colorado (NOW HIRING)

We empower our employees to push boundaries and explore new ideas, cultivating a culture that ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

We empower our employees to push boundaries and explore new ideas, cultivating a culture that ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

We empower our employees to push boundaries and explore new ideas, cultivating a culture that ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

Data Scientist

Boulder, CO · On-site

$98K - $140K/yr

Discover and assess new generative AI technologies that can be implemented to improve the ... A degree in Computer Science, Artificial Intelligence, Statistics, Applied Math, Physics ...

The data science team is at the forefront of driving business decisions, we are now scaling our ... We empower our employees to push boundaries and explore new ideas, cultivating a culture that ...

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills ... hard, through new technology, to reduce its carbon footprint worldwide, focusing on more ...

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills ... hard, through new technology, to reduce its carbon footprint worldwide, focusing on more ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... new sources are approved for integration. * Support the adoption of emerging analytical ...

As new modeling capabilities are developed and information is parameterized, opportunities abound ... Contribute to establishing a robust data science strategy by providing recommendations related to ...

Data Scientist - Aurora, CO

Aurora, CO · On-site

$78K - $236K/yr

Proficient in Python, R, Matlab, Lua, or other data science-centric programming language ... Willingness to learn new skills and technologies and exit "comfort zone". * Good organization ...

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.

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Data Science New Grad information

What are Data Science New Grad roles?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a Data Science New Grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science New Grad, and why are they important?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
What are popular job titles related to Data Science New Grad jobs in Colorado? For Data Science New Grad jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Data Science New Grad jobs? Cities in Colorado with the most Data Science New Grad job openings:
Infographic showing various Data Science New Grad job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-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