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Data Science Entry Level Remote Jobs in Colorado

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

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 ...

Vantor

Radiometric Calibration Engineer

Longmont, CO · On-site +1

$107K - $157K/yr

Bachelor's degree in engineering, physics, remote sensing, optical sciences, data science, computer science, or related technical field * Additional relevant experience may substitute for formal ...

Maxar

Radiometric Calibration Engineer

Longmont, CO · On-site +1

$107K - $143K/yr

Bachelor's degree in engineering, physics, remote sensing, optical sciences, data science, computer science, or related technical field * Additional relevant experience may substitute for formal ...

Vantor

Radiometric Calibration Engineer

Longmont, CO · On-site +1

$107K - $143K/yr

Bachelor's degree in engineering, physics, remote sensing, optical sciences, data science, computer science, or related technical field * Additional relevant experience may substitute for formal ...

New

Vantor

Radiometric Calibration Engineer

Longmont, CO · On-site +1

$107K - $143K/yr

Bachelor's degree in engineering, physics, remote sensing, optical sciences, data science, computer science, or related technical field * Additional relevant experience may substitute for formal ...

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All JobsData Science JobsData Science Entry Level Remote JobsData Science Entry Level Remote Jobs in Colorado

Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What are popular job titles related to Data Science Entry Level Remote jobs in Colorado? For Data Science Entry Level Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Colorado look for? The top searched job categories for Data Science Entry Level Remote jobs in Colorado are:
What cities in Colorado are hiring for Data Science Entry Level Remote jobs? Cities in Colorado with the most Data Science Entry Level Remote job openings:
Data Science Entry Level Remote jobs near you

Data Analyst

NuView

Denver, CO • On-site, Remote

$80K - $100K/yr

Full-time

Posted 21 hours ago

Job description

At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of - humility, intellectual rigor, and stewardship - we help companies gain a new perspective on their business through their data.
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 work on client projects from start to finish - scoping, onboarding, delivering
  • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed

Projects Include:
  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development

Qualifications:
  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 1-3 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)

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