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Remote Data Scientist Machine Learning Jobs in Colorado

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

Senior Data Analyst

Denver, CO ยท Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

Senior Machine Learning Engineer I // II

Denver, CO ยท On-site +1

$107K - $147K/yr

Education: A degree in Computer Science, Statistics, or a comparable quantitative field ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

Senior Data Platform Engineer

Littleton, CO ยท Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

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Remote Data Scientist Machine Learning information

What does a Remote Data Scientist specializing in Machine Learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Machine Learning, and why are they important?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Colorado? The most popular types of Data Scientist Machine Learning jobs in Colorado are:
What are popular job titles related to Remote Data Scientist Machine Learning jobs in Colorado? For Remote Data Scientist Machine Learning jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Data Scientist Machine Learning jobs? Cities in Colorado with the most Remote Data Scientist Machine Learning job openings:

$140K - $187K/yr

Full-time

Re-posted yesterday


Job description

Summary
This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Center for Program Integrity (CPI), Data Analytics & Systems Group, Division of Modeling & Analytics (DMA) .
As a Data Scientist, GS-1560-14, you will lead/run studies by gathering, examining, and understanding complex CMS data using different tools and advanced methods like machine learning and artificial intelligence to spot fraud and patterns in Medicare and Medicaid.
Learn more about this agency
Duties
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  • Lead and conduct studies by collecting, analyzing, and interpreting multi-faceted data using advanced statistical techniques such as machine learning, artificial intelligence, and modeling to detect fraud and trends in Medicare and Medicaid.
  • Research and develop statistical models for data analysis, advancing analytic methodologies and collaborating with CPI customers and stakeholders to devise innovative analytic solutions.
  • Serve as a technical resource, consultant/liaison to internal Agency, Federal, or contractor staff on program integrity data analysis and coordinate various Program Integrity (PI) projects across different groups or components within CMS as needed.
  • Research emergent data analytics, knowledge management trends, and technology developments from government and industry to develop recommendations for improvements to CPI's programs, tools, techniques, and approaches.

Requirements
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Conditions of employment
  • You must be a U.S. Citizen or National to apply for this position.
  • You will be subject to a background and suitability investigation.
  • Time-in-Grade restrictions apply.
  • Selective Service: Males born after December 31, 1959, must be registered or exempt from Selective Service - http://www.sss.gov
  • One-year probationary period may be required.
  • If you are selected for this position, the documentation that you present for purposes of completing the Department of Homeland Security (DHS) Form I-9 will be verified through the DHS "E-Verify" System.
  • All Federal employees are required to have Federal salary payments made by direct deposit to a financial institution of their choice.

Qualifications
ALL QUALIFICATION REQUIREMENTS MUST BE MET WITHIN 30 DAYS OF THE CLOSING DATE OF THIS ANNOUNCEMENT.
Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position. Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating. This will prevent you from being considered further.

Applicants must demonstrate that they meet the Basic Requirements as noted below.
A. Possess a degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Possess a combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus additional education or appropriate experience.
Minimum Qualifications, GS-14:
In addition to the mandatory education described above under Basic Requirements applicants must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-13 grade level in the Federal government, obtained in either the private or public sector, to include: (1) Executing, leading, or controlling projects to develop statistical models for data analysis and/or devise innovative analytic solutions to program integrity related issues; (2) Designing, implementing, and/or evaluating machine learning and other artificial intelligence tools to extract insights from unstructured and multidimensional data; and (3) Presenting clear and concise findings to a wide variety of audiences using data visualization tools, programming languages, and/or software applications to support evidence-based recommendations.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Time-in-Grade: To be eligible, current Federal employees must have served at least 52 weeks (one year) at the next lower grade level from the position/grade level(s) to which they are applying.
Education
Education Requirement: In addition to meeting the qualification requirements, all candidates must have the following educational requirements:
A. Possess a degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Possess a combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus additional education or appropriate experience.
TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. Please see "Required Documents" section below for what documentation is required at the time of application.
Click the following link to view the occupational questionnaire: https://apply.usastaffing.gov/ViewQuestionnaire/13019781
Additional information
SALARY RANGES:
Denver, CO:
$140,239 - $182,316
Woodlawn, MD: $143,913 - $187,093
Bargaining Unit Position: Yes - American Federation of Government Employees, Local 1923
Tour of Duty: Flexible
Recruitment Incentive: Not Authorized
Relocation Incentive: Not Authorized
Financial Disclosure: Not Required
Workplace Flexibility at CMS: This position has a regular and recurring reporting requirement to the CMS office listed in this announcement. CMS offers flexible working arrangements and allows employees the opportunity to participate in alternative work schedules at the manager's discretion.
The Interagency Career Transition Assistance Plan (ICTAP) and Career Transition Assistance Plan (CTAP) provide eligible displaced federal employees with selection priority over other candidates for competitive service vacancies. To be qualified, you must submit the required documentation and be rated well-qualified for this vacancy. Click here for a detailed description of the required supporting documents. A well-qualified applicant is one whose knowledge, skills, and abilities clearly exceed the minimum qualification requirements of the position. Additional information about ICTAP and CTAP eligibility is on OPM's Career Transition Resources website at www.opm.gov/rif/employee_guides/career_transition.asp.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.