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Python Data Scientist Jobs in Colorado (NOW HIRING)

Data Scientist - TrainingPeaks

Louisville, CO ยท On-site

$94K - $158K/yr

Experience with exploratory data analysis and model prototyping, using languages such as Python and ... S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar ...

People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data Scientist to ... Proficiency in Python, SQL, and common packages such as Pandas. * Experience with REST APIs.

Data Scientist - TrainingPeaks

Louisville, CO ยท On-site +1

$94K - $158K/yr

Experience with exploratory data analysis and model prototyping, using languages such as Python and ... S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar ...

Data Scientist - TrainingPeaks

Louisville, CO ยท On-site

$94K - $158K/yr

Experience with exploratory data analysis and model prototyping, using languages such as Python and ... S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar ...

Description People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data ... Proficiency in Python, SQL, and common packages such as Pandas. * Experience with REST APIs.

People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data Scientist to ... Proficiency in Python, SQL, and common packages such as Pandas. * Experience with REST APIs.

Proficiency in Python, SQL, and common packages such as Pandas. * Experience with REST APIs ... Leadership Skills As the People Data Scientist, you will have the opportunity to trailblaze within ...

We are seeking a People Data Scientist to join JBS at our corporate office in Greeley, Colorado. In ... Proficiency in Python, SQL, and common packages such as Pandas.Experience with REST APIs.Experience ...

Proficiency in Python and SQL for data manipulation and algorithm development. * Strong grasp of ... Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred)

Job Duties and Responsibilities Senior Data Scientist sought by DISH Wireless LLC in Littleton ... Python, R, Scala, SQL, PySpark, TensorFlow, PyTorch, Keras, scikit-learn, MLflow, LangChain ...

Data Scientist I

Englewood, CO ยท On-site

$72K - $118K/yr

The Data Scientist I solves the critical challenge of translating vast volumes of technical ... Foundational Python or SQL for data workflow management Visa sponsorship not available for this ...

You're fluent in SQL, Python, and modern experimentation practice, and you have a strong product ... The Staff Data Scientist, Product Analytics will be the senior analytics partner for a portfolio of ...

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Python Data Scientist information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do python data scientist jobs pay per year?

As of Jun 21, 2026, the average yearly pay for python data scientist in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as 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 or tasks to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Colorado? For Python Data Scientist jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Python Data Scientist jobs? Cities in Colorado with the most Python Data Scientist job openings:
Infographic showing various Python Data Scientist job openings in Colorado as of June 2026, with employment types broken down into 83% Full Time, 4% Part Time, and 13% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.
Data Scientist - TrainingPeaks

Data Scientist - TrainingPeaks

Peaksware

Louisville, CO โ€ข On-site

$94K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday


Job description

Company Information

Join the Team Powering the World's Best Endurance Athletes

At TrainingPeaks, we believe that behind every great athlete is a great coach and the right technology to help them reach their potential. Our platform is trusted by Tour de France winners, Olympic gold medalists, and everyday endurance athletes to plan, track, and analyze their training. Whether you're a performance-driven athlete, a passionate coach, or someone who simply thrives on building tools that empower others, TrainingPeaks is where ambition meets impact.

As part of the Peaksware portfolio, consisting of brands like TrainingPeaks, MakeMusic, Alfred Music, TrainHeroic, weโ€™re united by a shared mission: to create software that transforms deliberate practice into performance. At Peaksware, we donโ€™t just build products. We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them.

General Summary

Join TrainingPeaks as a Data Scientist and be at the forefront of revolutionizing endurance coaching. You'll harness 30 years of rich athlete and coach data to build next-generation AI and machine learning tools that empower the worldโ€™s most elite performers. In this role, you wonโ€™t just analyze numbers, youโ€™ll lead high impact projects from ideation through production, partnering with engineers, product managers, and domain experts to bring game changing features to life.

If youโ€™re passionate about turning data into action, excited by complex, real-world problems, and eager to innovate in one of the most dynamic domains in sports technology, weโ€™d love for you to apply. This is your opportunity to help shape the future of training for athletes and coaches around the world.

Core Functions:

  • Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact.
  • Collaborate with cross-functional partners, such as product and engineering to design effective and safe Machine Learning and AI solutions.
  • Train and iterate on models, thinking critically about tradeoffs with model complexity and novelty.
  • Debug models when observability shows performance gaps, and iterate on models.
  • Work on cutting edge modeling technology and take the opportunity to rethink every element of the coach and athlete experience.
  • Interface with customers to understand their needs and gather feedback regarding our models and products.
  • Stay up-to-date with the latest trends in Machine Learning and applied AI practices.
  • Perform other duties as assigned.

Requirements

Required Qualifications:

  • 2+ years of experience as a Data Scientist or similar role.
  • Background in computer science, data science, statistics, applied mathematics, or similar technical fields.
  • Strong analytical thinking and problem-solving skills with a high attention to detail.
  • Experience with exploratory data analysis and model prototyping, using languages such as Python and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker.
  • Excellent written and verbal communication skills.
  • Ability to deal with ambiguity.

Degrees are not required and we value all forms of continued education including traditional four-year degrees, post-graduate degrees, associates degrees, bootcamps, online training, professional certifications, self-teaching and more.

Desired Qualifications:

  • M.S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar technical fields.
  • Experience with our products and an understanding of endurance sports.
  • Experience implementing machine learning algorithms in the cloud (AWS).
  • Familiarity with LLM concepts such as prompt engineering and evaluation frameworks

Benefits

โ€‹Compensation:

We are committed to fair and equitable compensation practices. The salary range for this role in Colorado is $94,874 - $158,124. Final compensation for this role will be determined by various factors such as a candidateโ€™s relevant work experience, skills, certifications, and geographic location. This role is eligible for variable compensation including bonus.

Benefits and Perks:

Health

  • We offer comprehensive health benefits including medical, dental, and vision insurance; health savings and flexible spending accounts, paid parental leave; and an employee assistance program.
  • Additional coverage options including Accident & Critical Illness insurance as well as Hospital Indemnity are also available.

Disability and Life

  • We offer several company paid options including Short Term Disability, Long Term Disability, as well as Basic Life Insurance and AD&D.
  • Additional coverage options including Employee-paid Supplemental Life Insurance for Employee, Spouse, and/or Child are also available.

Additional

  • We offer a 401(K) including a company match.
  • We observe 12 paid holidays annually and provide discretionary Flexible Time Off. Employees also receive free access to our products, corporate discounts, and professional development resources.
  • Access to the Performance and Recovery Center (PARC), our on-site fitness facility, as well as employee only access to on-site locker rooms and showers.
  • Employee only access to secure, indoor bike storage and access to e-bikes exclusively to Peaksware employees.
  • Access to our onsite Music and Podcast Studio.

If you require a reasonable accommodation to review our website or to apply online, please fill out our Candidate Accommodations Request Form.

Peaksware adheres to the FLSA Exemption Threshold for minimum wage in all states.

Work Environment

This job operates in a professional office environment that is well-lighted, heated, and/or air-conditioned with adequate ventilation and a noise level that is usually moderate. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.

All employees must comply with all safety policies, practices and procedures. Report all unsafe activities to your manager and/or Human Resources. #LI-Hybrid

Physical Demands

While performing the duties of this job, the employee is regularly required to sit and move about the facility; use hands to handle, or feel; talk by expressing ideas by means of the spoken word; and hear by perceiving the nature of sounds. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

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