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Full Time Data Science Jobs in Colorado (NOW HIRING)

Continuum Media Network, Inc.

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Job Type Full-time Description Full-Time $110K - $120K Continuum is a Managed Service TV ... Collaborate with software developers and data scientists to deliver cross-departmental solutions

Continuum Media Network Inc

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Description: Full-Time $110K - $120K Continuum is a Managed Service TV advertising platform ... Collaborate with software developers and data scientists to deliver cross-departmental solutions

New

CACI International, Inc.

AI/ML Engineer

Aurora, CO · On-site

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ... Analyzing large multi-domain datasets such as images, text, and/or graph data to identify ...

Stride, Inc.

Middle School Science Teacher

Westminster, CO · On-site

$46K - $61K/yr

This is a full-time position. Ability to work independently, typically 40+ hours per week is ... student data, and use it to drive instructional decisions. * Receptive to receiving coaching ...

University of Colorado

Senior Research Scientist

Aurora, CO · On-site

$100K - $127K/yr

The Department of Ophthalmology is seeking a full time Senior Research Scientist (research faculty ... data science, informatics, artificial intelligence, and natural language processing methods for ...

University of Colorado

Senior Research Scientist

Aurora, CO

$100K - $127K/yr

The Department of Ophthalmology is seeking a full time Senior Research Scientist (research faculty ... data science, informatics, artificial intelligence, and natural language processing methods for ...

Audacy, Inc.

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data ... Collaborate with business analysts, data scientists, and stakeholders to understand complex data ...

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All JobsData Science JobsFull Time Data Science JobsFull Time Data Science Jobs in Colorado

Full Time Data Science information

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and provide strategic insights that require domain expertise and critical thinking. Their skills in programming, statistical analysis, and understanding business context remain essential in leveraging AI effectively.

Is 30 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is generally not a barrier if relevant skills and a strong portfolio are developed.

Is 40 too late for data science?

Full-time data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Are data science jobs still in demand?

Data science jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in programming, statistical analysis, and machine learning tools like Python and R are highly sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What jobs in the US pay 300,000 a year?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and industry expertise. These positions often require advanced degrees, strong programming skills, and leadership responsibilities, typically found in large corporations or tech firms.
What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
Full Time Data Science jobs near you
Infographic showing various Full Time Data Science job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Cell Modeling & Analytics Engineer

Peak Energy

Broomfield, CO • On-site

$105K - $144K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Job description

Peak Energy
Job Title: Senior Cell Modeling & Analytics Engineer
Location: Broomfield, CO or Burlingame, CA
Department: Cell Engineering
Reports To: Cell Applications Engineering Manager
Position Type: Full-Time
About Peak Energy
Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid.
Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market.
Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures.
We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience.
If you want to define how a new chemistry is tested, validated, and trusted at commercial scale - and to build the lab, fixtures, and methods that make that possible - we encourage you to apply and help us power a more sustainable future.
About the Role - Senior Cell Modeling & Analytics Engineer
Peak Energy is seeking a Senior Cell Modeling & Analytics Engineer to develop the predictive models and data analytics that drive cell design, performance optimization, and life prediction for sodium-ion cells. The ideal candidate brings a deep understanding of battery failure mechanisms and applies that expertise across thermal and heat-generation modeling, equivalent circuit modeling, physics-based electrochemical modeling, and 3D battery modeling. In this role you will build models that predict battery life, characterize thermal behavior, and optimize performance, and you will analyze large sets of cell performance data to surface trends, anomalies, and optimization opportunities.
The successful candidate combines strong modeling and simulation skills with rigorous data analysis to create models that drive innovation and efficiency across our battery-powered products.
What You'll Do (Responsibilities)
  • Develop, validate, and refine battery life models to predict cell life and performance under various operating conditions.
  • Develop thermal and heat-generation models at the cell level to characterize temperature distribution, heat rejection, and thermal behavior under operating and abuse conditions, and to inform cell and system thermal design.
  • Build and parameterize equivalent circuit models (ECMs) for cell performance prediction, state estimation (SOC/SOH), and integration into system-level and BMS simulations.
  • Develop physics-based models (e.g., electrochemical / pseudo-2D / Doyle-Fuller-Newman) to capture the underlying transport, kinetics, and degradation mechanisms that govern cell behavior and guide design decisions.
  • Build 3D battery models to simulate spatially resolved electrochemical, thermal, and mechanical behavior across cell geometries and formats.
  • Analyze large sets of battery performance data to identify trends, anomalies, and optimization opportunities and assess model accuracy.
  • Collaborate with cross-functional teams, including cell engineers and ESS engineers, to integrate battery data and models into broader product-level models and enhance battery performance in the ESS product.
  • Build and implement algorithms for advanced data analysis, using tools like Python.
  • Create and maintain comprehensive reports, visualizations, and dashboards to communicate findings and recommendations.
  • Assist in root-cause analysis on battery failures and contribute to improving product design and performance.
  • Continuously research advancements in battery technologies, modeling methods, and data science methodologies to improve current processes.

What You'll Bring (Qualifications)
  • Bachelor's or Master's degree in Engineering, Chemistry, Materials Science, Data Science, Computer Science, or a related field.
  • Minimum of 5 years of hands-on experience in battery modeling and battery data analysis.
  • Deep understanding of lithium-ion and/or sodium-ion battery technologies, including their failure mechanisms.
  • Hands-on experience with cell modeling approaches spanning thermal / heat-generation modeling, equivalent circuit modeling, and physics-based electrochemical modeling.
  • Proficiency in programming languages such as Python, with experience in data manipulation, physical modeling, statistical modeling, and machine learning.
  • Experience working with large datasets, performing statistical analysis, and using data visualization tools.
  • Strong problem-solving skills and the ability to interpret and analyze complex datasets.

Preferred Qualifications
  • PhD degree in Engineering, Chemistry, Materials Science, Data Science, Computer Science, or a related field.
  • Experience in the simulation of battery materials, electrodes, and cells.
  • Knowledge of electrochemical models and battery simulation tools (e.g., COMSOL, GT-AutoLion, PyBaMM, Simulink).
  • Experience developing 3D battery models for coupled electrochemical-thermal-mechanical simulation.
  • Experience in advanced battery data analysis, such as dQ/dV fitting and EIS modeling.

Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you're excited about this role but your experience doesn't look perfect on paper, we still want to hear from you.
Our Core Values
  • Speed Through Focus - Move fast but understand why. Focus on the goal, don't sacrifice quality.
  • Mission Over Self - It's about the greater good; confident humility. Take ownership and accountability.
  • Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making.
  • Be a Good Person - Kindness, collaboration and teamwork.

Compensation & Benefits
The salary range for this role is $140,000 - $175,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes:
  • Flexible time off
  • Comprehensive medical, dental, and vision coverage
  • Strong 401(k) plan
  • Equity opportunities
  • Many great work perks

Join us to thrive in a supportive environment while making a meaningful impact in the energy sector!
At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company's full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.

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