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Director Data Science Startup Jobs in Colorado (NOW HIRING)

DIRECTOR, DATA ENGINEER

Denver, CO · On-site

$200K - $225K/yr

... Director, Head of Investment and Data Technology and will be a lead contributor in building ... Bachelor's degree in computer science, engineering, information systems, or a related field. * 7 or ...

DIRECTOR, DATA ENGINEER

Denver, CO · On-site

$117.90K - $141.50K/yr

... Director, Head of Investment and Data Technology and will be a lead contributor in building ... Bachelor's degree in computer science, engineering, information systems, or a related field. * 7 or ...

DIRECTOR, DATA ENGINEER

Denver, CO · On-site

$117.80K - $141.50K/yr

... Director, Head of Investment and Data Technology and will be a lead contributor in building ... Bachelor's degree in computer science, engineering, information systems, or a related field. * 7 or ...

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+ ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146.90K/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+ ...

We push the boundaries of material science to engineer solutions that continually exceed customer ... Based remotely, the Sales Director - Data Centers , is responsible for formulating and executing ...

Data Scientist

Lone Tree, CO · On-site

$125.78K/yr

Specialized experience is defined as: directing and conducting complex data science and data preparation activities on large structured, semi-structured, and unstructured datasets, including ...

Ibotta is seeking a Director, Client Data & Measurement to join our team and contribute to our ... In this role, you will lead teams of managers, data scientists, analytics engineers, to deliver ...

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Showing results 1-20

Director Data Science Startup information

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 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 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 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 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:
Director, Data Science Product Development - Identity Fraud

Director, Data Science Product Development - Identity Fraud

Transunion

Greenwood Village, CO

$150.10K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


TransUnion rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

TransUnion's Job Applicant Privacy Notice

Personal Information We Collect

Your Privacy Choices

What We'll Bring:

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're - consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.
Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology.
The Director will act as a key leader of the Global Data Science & Analytics (GD&A) Identity Product Development team. This role requires data science expertise and resources necessary to build market-leading Identity data products and analytic solutions in support of TransUnion's Fraud roadmap. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the "how") to achieve objectives defined by Global Solutions stakeholders (the "what"). This role will partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions.

What You'll Bring:

  • 7+ years in data science and analytics

  • 3+ years in progressively more challenging team management and leadership roles

  • Master's or PhD degree in statistics, applied mathematics, quantitative economics/finance, engineering, operations research, physical sciences, computer science or another highly quantitative field strongly preferred.

  • Technical Skills: Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools; statistical inference, and predictive modeling methods in a commercial setting including real-time modeling, adversarial modeling, financial crimes, and anomaly detection.

  • Functional Skills: Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows.

Impact You'll Make:

  • Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted

  • Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Identity Fraud roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions.

  • Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms

  • Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D

  • Be a key leader in cross-functional teams to ensure data science best practices

  • Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting

  • Attract and nurture leading data science talent, creating opportunities for continual professional growth

  • In depth knowledge of credit bureau data and identity products

#LI-KJ1

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Benefits:

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.

Pay Scale Information :The U.S. base salary range for this position is $150,100.00 - $225,000.00 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations.Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.


TransUnion's Internal Job Title:

Director, Data Science and Analytics

Company:

TransUnion LLC