ZipRecruiter

Log In

2

Data Science Co Op Remote Jobs in Colorado (NOW HIRING)

Jobsultant Solutions

Remote Data Analyst

Denver, CO · Remote

Work Environment: * 100% remote - must work in CST * 8am-5pm (9 hour day with one hour lunch break ... Data science experience * Retail experience * SQL Coding, Microsoft Access, Macro building ...

NuView

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Siemens

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

Siemens

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

Siemens

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

Siemens

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

Siemens

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

stanleyreid

Jr. Data Scientist, to 120k - FS Poly

Aurora, CO · On-site +1

$50K - $120K/yr

... remote work options. Join a close-knit team that invests in your career and well-being. The Role ... Location Aurora, CO Ready for Next Steps? We encourage you to apply and connect with us even if a ...

next page

Showing results 1-20

All JobsData Science Co Op JobsData Science Co Op Remote JobsData Science Co Op Remote Jobs in Colorado

Data Science Co Op Remote information

What is the difference between Data Science Co Op Remote vs Data Analyst Intern Remote?

AspectData Science Co Op RemoteData Analyst Intern Remote
Required CredentialsEnrolled in or recent graduate of a data-related program, some programming skillsEnrolled in or recent graduate of a data, statistics, or related program, basic analytical skills
Work EnvironmentRemote, collaborative team projects, mentorship opportunitiesRemote, focused on data analysis tasks, supervised by analysts or managers
Employer & Industry UsageTech, finance, healthcare companies offering structured co-op programsVarious industries, often as part of internship programs for entry-level experience

The main difference is that Data Science Co Op Remote roles focus on developing data science skills, including programming and modeling, while Data Analyst Intern Remote positions emphasize data analysis and reporting. Both are remote, entry-level roles that provide valuable industry experience, but they target different skill sets within the data field.

What types of projects can a Data Science Co-Op expect to work on in a remote setting?

As a remote Data Science Co-Op, you will typically contribute to projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. You may also assist in developing dashboards, automating data pipelines, or researching new data sources depending on the team's current priorities. Collaboration is often facilitated through virtual meetings, code reviews, and shared documentation platforms, allowing you to work closely with data scientists, engineers, and business analysts despite the remote environment.

What is a Data Science Co-Op Remote position?

A Data Science Co-Op Remote position is a temporary, paid internship where students or early-career professionals work remotely to gain hands-on experience in data science. Co-ops typically last several months and allow participants to work on real-world projects involving data analysis, machine learning, and data visualization. These roles help individuals build practical skills, expand their professional network, and often fulfill academic program requirements. Remote positions allow for flexible work arrangements, enabling participants to collaborate virtually with teams from anywhere.

What are the key skills and qualifications needed to thrive as a Data Science Co-Op (Remote), and why are they important?

To thrive as a Data Science Co-Op (Remote), you need a strong foundation in statistics, programming (Python or R), and data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like Jupyter Notebook, SQL, version control (Git), and cloud platforms, as well as exposure to machine learning frameworks, is highly valuable. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating effectively in a remote and often cross-functional environment. These skills and qualities enable you to contribute meaningful insights, adapt to remote workflows, and drive impactful data-driven solutions.
What are the most commonly searched types of Data Science Remote jobs in Colorado? The most popular types of Data Science Remote jobs in Colorado are:
What are popular job titles related to Data Science Co Op Remote jobs in Colorado? For Data Science Co Op Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Co Op Remote jobs in Colorado look for? The top searched job categories for Data Science Co Op Remote jobs in Colorado are:
What cities in Colorado are hiring for Data Science Co Op Remote jobs? Cities in Colorado with the most Data Science Co Op Remote job openings:
Data Science Co Op Remote jobs near you
Infographic showing various Data Science Co Op Remote job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Remote Data Analyst

Jobsultant Solutions

Denver, CO • Remote

Contractor

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

Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion.

Summary:

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment:

  • 100% remote - must work in CST
  • 8am-5pm (9 hour day with one hour lunch break 12pm-1pm).
    • The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs

Responsibilities:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
  • Item level historical analysis and recapping
  • Item level future looking forecast
  • Scope will be thousands of Own Brand items (at item level)
  • System/ tool used is Excel
  • Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps

Top Must-Have Skills:

  • Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
  • Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills partnered with storytelling finesse
  • Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel
  • Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics
  • Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel
  • Intermediate level skill in Microsoft Word and PowerPoint

Top Nice-to-Have Skills:

  • MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, Microsoft Access, Macro building

Education / Experience Requirements:

  • 3-5 year experience in Analytics or Data Science, Merchandising background

Equal Opportunities

Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable

PLEASE NOTE: Optimere is unable to sponsor visas at this time. You must be a US Citizen or Permanent Resident authorized to work in the US.

Apply