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Online Data Science Jobs in Colorado (NOW HIRING)

bet365

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

Company Description At bet365, we're one of the world's leading online gambling companies ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

bet365

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

Company Description At bet365, we're one of the world's leading online gambling companies ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

bet365

Data Science Team Leader

Denver, CO · On-site

Company Description At bet365, we're one of the world's leading online gambling companies ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

Judge Group, Inc.

Data Science Engineer

Westminster, CO · On-site

$100K - $140K/yr

Our client is currently seeking a Data Science Engineer Location : Onsite in Westminster, CO Salary Range : $90K-$110K About the Role Our client is an innovative and mission-focused organization ...

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West ... The role reports into the Data Science Director and will focus on creating insight to drive the ...

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Master's or PhD in Data Science, Statistics, or related field. * 5-8 years of data science experience. * Expertise in Python, SQL, and machine learning frameworks. * Strong analytical and ...

Talent Navigation Experts

Data Scientist

Denver, CO · Hybrid

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills. * AWS CI/CD exposure. * Ability to build models that can drive value of data. Deploy the data into ...

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills. * AWS CI/CD exposure. * Ability to build models that can drive value of data. Deploy the data into ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

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Online Data Science information

What are the key skills and qualifications needed to thrive as an online data scientist?

To thrive as an Online Data Scientist, you need a solid understanding of statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Proficiency with data manipulation tools like SQL, machine learning libraries (such as scikit-learn or TensorFlow), and cloud platforms (like AWS or Google Cloud) is commonly required. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for this remote role. These competencies enable you to extract actionable insights from data, collaborate with diverse teams, and drive data-informed decision-making in a virtual environment.

Can I become an online data scientist?

Yes, you can become an online data scientist by developing skills in programming, statistics, and machine learning, often through online courses and certifications. Many data scientists work remotely, utilizing tools like Python, R, and cloud platforms to analyze data and build models. A strong foundation in mathematics and experience with data analysis tools are essential for success in this role.

What is online data science?

Online data science refers to the practice of analyzing and interpreting large sets of data using statistical techniques and computational tools, often through remote or web-based platforms. Professionals in this field use programming, machine learning, and data visualization to extract insights and inform decision-making, all while working online or in virtual environments. This approach allows for flexible collaboration, access to global data sources, and scalable solutions for businesses and organizations.

How do online data science professionals typically collaborate with cross-functional teams in a remote environment?

Online data science professionals often work closely with engineers, product managers, and business analysts through digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and shared documentation help ensure alignment on project goals, data requirements, and timelines. Effective communication is essential for translating complex data insights into actionable recommendations for non-technical stakeholders. Building strong relationships across teams is key to successfully integrating data science solutions into broader organizational strategies.

Can I work remotely as an online data scientist?

Online data scientists can often work remotely, as the role primarily involves analyzing data, programming, and using tools like Python or R, which can be done from any location with internet access. Many companies offer remote positions for data science roles, especially for experienced professionals with strong communication skills and proficiency in cloud-based platforms. However, some roles may require occasional on-site meetings or collaboration, depending on the company's policies.
What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
What cities in Colorado are hiring for Online Data Science jobs? Cities in Colorado with the most Online Data Science job openings:
Online Data Science jobs near you
Infographic showing various Online Data Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Science Team Leader

bet365

Denver, CO • On-site

$155K - $165K/yr

Full-time

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

Bet365 rating

9.2

Company rating: 9.2 out of 10

Based on 13 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, 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
This is an exceptional, hands-on, player/coach opportunity to establish, shape, and lead our Data Science capability in the United States. As the Data Science Team Leader, you will be a critical part of our expanding global data organization.
You will remain deeply technical and actively involved in writing code, building models, and executing machine learning solutions, while simultaneously mentoring and growing a high-performing team of US-based Data Scientists and Machine Learning Engineers.
We are intentionally recruiting for a specific kind of professional: someone with a startup mindset who thrives in fast-paced environments, possesses a strong bias for action, and values execution over theoretical complexity. To succeed, you must be a pragmatic problem solver who enjoys getting their hands dirty while building scalable, production-grade solutions.
Excellent stakeholder management is paramount. You will work as a key collaborative partner alongside the US Data Team Lead, Data Product Lead, and AgentOps Team Lead within the wider US Data team, while maintaining strong operational alignment and knowledge sharing with our established UK-based Data Science team.
The listed salary for this position is $155,000 - $165,000 annually.
Qualifications
  • Proven experience working in a fast-paced, agile, or startup-like environment. You must have a demonstrated passion for "getting things done" and delivering value iteratively.
  • Prior experience mentoring, coaching, or leading data scientists or engineers while remaining active in code development.
  • A strong track record of designing, building, deploying, and maintaining machine learning models in production environments
  • Superior communication skills with the ability to build strong cross-functional relationships and translate technical concepts into business outcomes for both technical and non-technical audiences.
  • Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn, Pandas, NumPy, XGBoost, etc.).
  • Advanced SQL proficiency for querying and manipulating large datasets, preferably within Google BigQuery.
  • Hands-on experience with Google Cloud Platform (GCP), ideally including the Vertex AI ecosystem (Pipelines, Workbench, Endpoints).
  • MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or equivalent practical industry experience.
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD principles for machine learning.
  • Experience with real-time stream processing or event-driven architectures (e.g., Kafka).

Additional Information
  • In this hands-on role you will devise, code, and deploy AI, machine learning and predictive models, leading by example in technical execution and code quality. This is not a pure people-management role.
  • Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of rapid iteration, continuous learning, and software engineering discipline.
  • Partnering closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities.
  • Collaborating regularly with our UK-based Data Science team of technical excellence to share methodology, align on standards, and leverage global technical capabilities.
  • Translating complex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles.
  • Collaborating with Machine Learning Engineers to champion the adoption of robust MLOps practices on our Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable.
  • Establish data science workflows, standards, and code repositories from scratch in a new regional office.

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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