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Python Data Scientist Jobs in Colorado (NOW HIRING)

We are seeking a Data Scientist III to join our growing Data Science organization on our newly ... Strong SQL proficiency and strong proficiency in Python, with experience building and validating ...

Senior Data Scientist

Denver, CO · On-site

$135K - $150K/yr

Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost. * Advanced proficiency in SQL, with hands-on experience querying and ...

Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost. * Advanced proficiency in SQL, with hands-on experience querying and ...

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic ... Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing ...

Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg ... Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic ... Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing ...

Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost. * Advanced proficiency in SQL, with hands-on experience querying and ...

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

We are seeking a Data Scientist III to join our growing Data Science organization on our newly ... Strong SQL proficiency and strong proficiency in Python, with experience building and validating ...

As a Staff Data Scientist in our AI Office, you will bridge the gap between complex data science ... Skilled in Python and SQL for building robust data pipelines and preprocessing large-scale datasets ...

We are seeking a Data Scientist III to join our growing Data Science organization on our newly ... Strong SQL proficiency and strong proficiency in Python, with experience building and validating ...

We need a Data Scientist with strong presentation skills and deep analytics expertise who can ... Key Requirements: • Advanced analytics and statistical modeling • Strong Python with ML/AI ...

Principal Data Scientist

Boulder, CO · On-site

$175K - $215K/yr

What you will do: Electra is seeking a Principal Data Scientist to join our Product team and ... Advanced software and data skills, including Python and SQL, with experience building reproducible ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data ...

What you will do: Electra is seeking a Principal Data Scientist to join our Product team and ... Advanced software and data skills, including Python and SQL, with experience building reproducible ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data ...

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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.

$117K - $167K/yr

Other

Posted yesterday


Job description

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

We are seeking a Data Scientist III to join our growing Data Science organization on our newly formed Decision Science team. The role reports into the Decision Science Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. 

Responsibilities

  • Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior.
  • Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance.
  • Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
  • Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
  • Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency.
  • Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.

Experience and Skills

  • A minimum of 3-5 years proven experience in a data science or advanced analytics role.
  • Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics.
  • Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
  • Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments.
  • Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.
  • Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
  • Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.

Preferred but not required

  • Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
  • Previous experience in iGaming (Sportsbook or Casino), or previous experience with Customer Lifetime Value models is a significant plus.

Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: $117,000 to $167,000 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.