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Senior Data Science Startup Jobs in Colorado (NOW HIRING)

Develop data science solutions, automated analytics products, and actionable insights across multiple projects and domains with minimal guidance. * Translate emerging concepts and business needs into ...

New

Position Summary The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust predictive models that drive strategic business decisions. This role ...

As a Sr. Data Engineer on our data team, you will be building out the core data asset that ... Work closely with our data science team to run ML models on top of billions of data points * Build ...

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee ... Grow your skills alongside senior data scientists, engineers, and mission stakeholders.

Gusto is looking for an experienced Senior Data Science Leader to empower our Sales Data team, the team that powers the insights, forecasting, and measurement infrastructure behind how we acquire ...

Senior Data Architect

Denver, CO · On-site +1

$69.25 - $92.75/hr

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience * 8+ years ... Join a team known for deep technical expertise, thoughtful design discussions, and a startup-like ...

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 ...

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

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 ... Provenexperience working in a fast-paced, agile, or startup-like environment. You must have a ...

Growth Data Science Leader

Denver, CO · On-site

$185 - $255/hr

This role is the equivalent to a Senior Manager/Director-level role. Here's what you'll do day-to-day: * Lead and develop a team of data scientists -- hire, empower, and coach team members; set a ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust predictive models that drive strategic business decisions. This role requires expertise ...

Growth Data Science Leader

Denver, CO · On-site +1

$185K - $217K/yr

This role is the equivalent to a Senior Manager/Director-level role. Here's what you'll do day-to-day: * Lead and develop a team of data scientists - hire, empower, and coach team members; set a high ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

The Sr. Data Engineer acts as a consultant to business managers, architecture, security and ... Bachelor's degree in Technology, Science, Business or related field, or 4 years of experience ...

Showing results 41-60

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Senior Data Scientist

Vizient

Englewood, CO

$102K - $179K/yr

Full-time

Posted 3 days ago

New


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will develop automated analytics products and advanced data science solutions that address complex business and client questions and improve clinical, operational, and economic outcomes. You will operate in an environment of ambiguity, rapid learning, and evolving requirements, using experimentation, prototyping, validation, and continuous feedback to translate emerging concepts into testable solutions. You will evaluate technical and business feasibility, refine analytical approaches through iterative development, and partner with product and technical teams to advance promising capabilities from early research through pilot, production readiness, and ongoing enhancement.

Responsibilities:

  • Develop data science solutions, automated analytics products, and actionable insights across multiple projects and domains with minimal guidance.
  • Translate emerging concepts and business needs into testable solutions through experimentation, rapid prototyping, validation, and iterative development.
  • Apply machine learning, natural language processing, statistical modeling, and predictive analytics techniques to structured and unstructured data.
  • Evaluate technical and business feasibility, analyze results, and refine models and methods through successive development cycles and continuous feedback.
  • Apply expertise across data discovery, structuring, cleaning, enrichment, statistical design, modeling, validation, deployment, and insight delivery.
  • Make autonomous analytical decisions related to exploratory analysis, model development, methodology selection, visualization, and deployment based on project objectives.
  • Analyze complex datasets and communicate exploratory and predictive findings through clear insights and visualizations for technical and non-technical audiences.
  • Develop and revise technical code, apply data science best practices, and provide guidance to other data scientists on analytical approaches and solution development.
  • Partner with product, engineering, and platform teams to advance promising capabilities from research and prototyping through pilots, production readiness, and ongoing enhancement.
  • Evaluate emerging data science methods, tools, and technologies to identify opportunities to improve analytical capabilities and client solutions.

Qualifications:

  • Relevant degree preferred.
  • 5 or more years of relevant experience required.
  • Experience with statistical modeling, predictive analytics, machine learning, natural language processing, generative AI, and advanced data science methodologies.
  • Experience with experimentation, prototyping, model evaluation, validation, and iterative solution development.
  • Experience with end-to-end data science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization.
  • Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies.
  • Experience working with complex datasets, including data discovery, preparation, enrichment, validation, normalization, and integration of disparate data sources.
  • Experience with analytics, cloud-based, or distributed data platforms such as Databricks, Apache Spark, Hadoop, Tableau, or similar technologies.
  • Ability to navigate ambiguity and evolving requirements while translating emerging concepts into practical, testable solutions.
  • Strong analytical and problem-solving skills with the ability to assess feasibility, make autonomous project-level decisions, and refine approaches based on evidence and feedback.
  • Strong communication and collaboration skills with the ability to convey complex analytical concepts to technical and non-technical clients and work effectively across product and technical teams.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.