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Entry Level Python Data Science Jobs in Denver, CO

bet365

Python Data Analyst (Fraud and Risk)

Denver, CO · On-site

Degree in Computer Science, Statistics, Mathematics, Economics or similar discipline. * Proficient in the application and use of Python is a prerequisite of this role. * Experience in programming ...

New

bet365

Python Data Analyst (Fraud and Risk)

Denver, CO · On-site

Degree in Computer Science, Statistics, Mathematics, Economics or similar discipline. * Proficient in the application and use of Python is a prerequisite of this role. * Experience in programming ...

New

Lynker Corporation

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling. * A working sense of geospatial data science, including experience with GIS tooling and spatial ...

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed ... Science, Economics. * Strong SQL proficiency and strong proficiency in Python, with experience ...

NuView

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

... Science or a related Field * 1-3 Years of Relevant job experience * SQL Required * R or Python ... Ability to process data objectively and efficiently * Intellectually curious about new data tools ...

NuView Analytics

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

... Science or a related Field * 1-3 Years of Relevant job experience * SQL Required * R or Python ... Ability to process data objectively and efficiently * Intellectually curious about new data tools ...

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Entry Level Python Data Science information

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$13

$60

$88

How much do entry level python data science jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for entry level python data science in Denver, CO is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.56 per hour, depending on experience, location, and employer.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Denver, CO?

For Entry Level Python Data Science jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in Denver, CO look for?

The top searched job categories for Entry Level Python Data Science jobs in Denver, CO are:

Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Denver, CO as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $125,503 per year, or $60.3 per hour.

Python Data Analyst (Fraud and Risk)

bet365

Denver, CO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Bet365 rating

8.9

Company rating: 8.9 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

2nd of 15 rated gambling companies

Job description

Company Description
At bet365, we're one of the world's leading online gambling companies, revolutionizing 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 Data Analyst, you'll work closely with our Fraud and Risk team to analyze complex datasets, develop insights, and contribute to data-driven decision-making across the organization.
Never Ordinary. Are you interested in the fast-paced and growing sports gambling industry? We're seeking a Fraud and Risk Analyst to join our team at our US headquarters in downtown Denver!
The Fraud and Risk Management department plays a crucial role in protecting the company from financial threats and fraudulent activities. The key responsibilities include: Fraud Prevention and Detection, Risk Assessment and Management, Compliance and Security.
You will work closely with management tiers to implement reporting structures and data driven solutions, which advance our risk prevention measures.
This is not just a job; it's a career opportunity for aspiring data scientists to get hands on experience and apply their skills to implement solutions.
This position is full time and demands technical ability, statistical knowledge and data visualization techniques.
Qualifications
  • Degree in Computer Science, Statistics, Mathematics, Economics or similar discipline.
  • Proficient in the application and use of Python is a prerequisite of this role.
  • Experience in programming languages such as SQL or R is desirable.
  • 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; identifying and undertaking the appropriate course of escalation.

Additional Information
  • Collect, process, and analyze 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.
  • Assist in the creation and implementation of rules-based or machine learning models.
  • Collaborate 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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