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Director Data Science Startup Jobs in Colorado (NOW HIRING)

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Provenexperience working in a fast-paced, agile, or startup-like environment. You must have a ...

As the Data Science Team Leader, you will be a critical part of our expanding global data ... We are intentionally recruiting for a specific kind of professional: someone with a startup mindset ...

As the Data Science Team Leader, you will be a critical part of our expanding global data ... We are intentionally recruiting for a specific kind of professional: someone with a startup mindset ...

Apply Early

... Director, Data Collective to lead the team that owns Sovrn's data platform end-to-end: the ... Partner with Product, Data Science, AI/ML, Platform, and Security teams to ship end-to-end and to ...

... Director, Data Collective to lead the team that owns Sovrn's data platform end-to-end: the ... Partner with Product, Data Science, AI/ML, Platform, and Security teams to ship end-to-end and to ...

... Director, Data Platforms to lead the strategy, architecture, and execution of our data ... Partner with analytics, data science, and product teams to understand requirements and remove ...

Junior Data Scientist

Denver, CO · On-site +1

$70K - $85K/yr

We want a candidate with a "startup attitude"-someone who is energetic, eager to learn, and ... Reporting directly to the Data Science Team Leader, you will collaborate with Machine Learning ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Your models will have a direct impact on financial decisions, operational efficiency, and customer ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ ...

Your models will have a direct impact on financial decisions, operational efficiency, and customer ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ ...

Partner with feature team engineering, data science, and external data partners to enable business ... Director, Data Platform Engineering Additional Information Contact: Scott Schoenberger

Partner with feature team engineering, data science, and external data partners to enable business ... Director, Data Platform Engineering Additional Information Contact: Scott Schoenberger

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Director Data Science Startup information

What are some unique challenges a Director of Data Science faces in a startup environment?

As a Director of Data Science in a startup, you will often need to balance hands-on technical work with strategic leadership, since resources and team sizes are usually limited. You'll likely be tasked with building and mentoring a team from the ground up, establishing best practices, and aligning data initiatives with fast-changing business goals. Additionally, you may need to advocate for data-driven decision-making across non-technical teams and adapt quickly as the company's priorities shift. This environment fosters rapid professional growth but requires flexibility, strong communication skills, and a willingness to wear multiple hats.

What is the difference between Director Data Science Startup vs Data Scientist?

AspectDirector Data Science StartupData Scientist
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on data analysis, model development, research
Employer & Industry UsageStartups, tech companies, innovation-driven firmsVaries from startups to large corporations, research labs
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project work, data analysis

The Director Data Science Startup typically holds a leadership position with strategic oversight and team management responsibilities, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on technical data analysis and model development, often with less emphasis on leadership. Both roles are common in startup environments and tech industries, but they differ significantly in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Director of Data Science at a Startup, and why are they important?

To thrive as a Director of Data Science at a startup, you need deep expertise in statistical modeling, machine learning, and data strategy, often supported by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, GCP), and experience with data pipeline architectures are typically required. Strong leadership, communication, and business acumen are vital soft skills for aligning data initiatives with startup objectives and motivating cross-functional teams. These skills are crucial for driving product innovation, scaling data operations, and delivering actionable insights in a fast-paced, resource-constrained environment.

What does a Director of Data Science do at a startup?

A Director of Data Science at a startup leads the development and execution of data-driven strategies, overseeing teams of data scientists and analysts to drive business growth. They are responsible for aligning data initiatives with the company's goals, building predictive models, and ensuring the integrity and scalability of data solutions. This role often involves close collaboration with engineering, product, and executive teams to translate business needs into actionable data projects. Additionally, they help shape the data culture and mentor team members in a fast-paced, resource-constrained environment.
What are the most commonly searched types of Data Science Startup jobs in Colorado? The most popular types of Data Science Startup jobs in Colorado are:
What are popular job titles related to Director Data Science Startup jobs in Colorado? For Director Data Science Startup jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Director Data Science Startup jobs in Colorado look for? The top searched job categories for Director Data Science Startup jobs in Colorado are:
What cities in Colorado are hiring for Director Data Science Startup jobs? Cities in Colorado with the most Director Data Science Startup job openings:
Data Science Team Leader

Data Science Team Leader

bet365

Denver, CO • On-site

$165K/yr

Full-time

Posted 15 days ago


Bet365 rating

9.6

Company rating: 9.6 out of 10

Based on 8 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

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, andAgentOpsTeam 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 $165,000 annually.

Qualifications
  • Provenexperience working in a fast-paced, agile, or startup-like environment. You must have a demonstrated passion for "getting things done" and delivering value iteratively. 
  • Priorexperience mentoring, coaching, or leading data scientists or engineers while remaining active in code development. 
  • Astrong track record of designing, building, deploying, and maintaining machine learning models in production environments 
  • Superiorcommunication 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 GoogleBigQuery. 
  • Hands-on experience with Google Cloud Platform (GCP), ideally including the Vertex AI ecosystem (Pipelines, Workbench, Endpoints). 
  • MScor 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-drivenarchitectures(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. 
  • Partneringclosely with the Data Team Lead, Data Product Lead, andAgentOpsTeam Lead to align data science initiatives with product roadmaps and platform capabilities. 
  • Collaboratingregularly with our UK-based Data Science team of technical excellence to share methodology, align on standards, and leverage global technical capabilities. 
  • Translatingcomplex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles. 
  • Collaboratingwith Machine Learning Engineers to champion the adoption of robustMLOpspractices 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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