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Python Data Scientist Jobs in Colorado (NOW HIRING)

bet365

Python Data Analyst

Denver, CO

$65K - $75K/yr

Degree in Computer Science, Statistics, Mathematics, Economics or similar field of study. * Proficient in Python and SQL languages is essential. * Basic understanding of data science principles and ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Analyze structured and unstructured data with Python and SQL . * Build and validate predictive ... Master's or PhD in Data Science, Statistics, or related field. * 5-8 years of data science ...

BranchLab

Data Scientist

Boulder, CO · On-site

$105K - $130K/yr

... and Python to write accurate, understandable, and reproducible methods • Collaborate with ... Data Science, Statistics, Epidemiology, Applied Math, Computer Science, or related field (or ...

GARGI TECHNOLOGIES INC

Data Scientist

Denver, CO

Need Experience range in between 2-7 Years Key Skill Requirements: 1. Strong knowledge of Python ... data science and AI space, implement them, and share learnings with other team members.

Deloitte

Data Scientist

Denver, CO · On-site

Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a ... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

New

Deloitte

Data Scientist

Colorado Springs, CO · On-site

Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a ... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

New

Agile Defense

Data Scientist

Colorado Springs, CO · On-site

They are seeking a Data Scientist to design, develop, and deploy AI-enabled data solutions within ... Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • ...

BranchLab

Senior Data Scientist

Boulder, CO · On-site

$130K - $180K/yr

... Python to write accurate, understandable, reproducible, and production-quality methods • ... • PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or ...

Deloitte

Data Scientist

Colorado Springs, CO

... Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

Deloitte

Data Scientist

Denver, CO

... Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

GDIT

Data Scientist Senior

Colorado Springs, CO · Hybrid

$106.25K - $143.75K/yr

Data Science and Data Engineering Job Qualifications: Skills: Big Data, Data Analysis, Datasets ... Design and implement algorithms using languages such as Python and R. * Perform data engineering ...

GRVTY

Data Scientist 3

Colorado Springs, CO

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 ...

Alchemer

Data Scientist

Louisville, CO · On-site

$150K - $160K/yr

What You Will Do We're looking for a Data Scientist who thrives at the intersection of innovation ... Strong programming skills in Python, with working knowledge of SQL and mongoDB * Familiarity with ...

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$39.4K

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$206.6K

How much do python data scientist jobs pay per year?

As of May 31, 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 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 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.

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 data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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 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 job categories do people searching Python Data Scientist jobs in Colorado look for? The top searched job categories for Python Data Scientist jobs in Colorado are:
What cities in Colorado are hiring for Python Data Scientist jobs? Cities in Colorado with the most Python Data Scientist job openings:
Python Data Scientist jobs near you

Python Data Analyst

bet365

Denver, CO

$65K - $75K/yr

Full-time

Posted 11 days ago

Bet365 rating

9.7

Company rating: 9.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies

Job description

Company Description

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our customers worldwide.

Job Description

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets, develop insights, and drive data-driven decision-making across the Business.

The Trading department plays a vital role in offering enticing sports betting options across all markets to the US customer base, monitoring the product, and supporting any real time trading issues.

Using your technical ability, statistical knowledge, and data visualization techniques, you will work closely with management to implement reporting structures and data-driven solutions that enhance our products.

This is an exciting opportunity for aspiring data scientists to gain hands-on experience and apply their skills to implement impactful solutions.

The salary range for this position is $65,000-$75,000 annually.

Qualifications
  • Degree in Computer Science, Statistics, Mathematics, Economics or similar field of study.
  • Proficient in Python and SQL languages is essential.
  • Basic understanding of data science principles and methods.
  • Ability to deliver solutions through quantitative research, using multiple data sources.
  • Self-motivated to research and deliver change within the department.
  • Strong analytical and problem-solving skills
  • Ability to effectively communicate with staff throughout the operation, up to and including key stakeholders and senior management.
  • Experience with Google Cloud, BigQuery, financial markets, fintech, Linux and Machine Learning toolkits.
Additional Information
  • Collecting, processing, and analyzing large datasets using various tools and techniques.
  • Developing and maintaining dashboards and other data products.
  • Instilling accurate and effective reporting channels.
  • Presenting research and analysis in a clear and concise manner.
  • Assisting in the creation and implementation of rules-based or Machine Learning models.
  • Collaborating with cross-functional teams to identify Business problems and propose data-driven solutions.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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