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Remote Data Scientist Machine Learning Jobs in Colorado

Build models using a variety of statistical and machine learning techniques, from selecting the ... Remote #BI-Hybrid

Data Scientist - TrainingPeaks

Louisville, CO · On-site +1

$94.87K - $158.12K/yr

Conduct exploratory data analyses and proof-of-concept machine learning models to understand ... Background in computer science, data science, statistics, applied mathematics, or similar technical ...

Develop tools for large-scale data processing and ETL and contribute to extracting insights from ... Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops scalable, automated solutions using machine learning, simulation, and optimization to ...

Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP ... Proven ability to design and operationalize data science solutions in real-world environments.

Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP ... Proven ability to design and operationalize data science solutions in real-world environments.

$228K - $253K/yr

Mentor ML Engineers and Data Scientists, fostering a culture of technical ownership, rigorous ... Remote #BI-Hybrid

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

Senior Data Scientist

Denver, CO · On-site +1

$105K - $150K/yr

We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and ...

$206K - $230K/yr

Mentor ML Engineers and Data Scientists, fostering a culture of technical ownership, rigorous ... Remote #BI-Hybrid

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Remote Data Scientist Machine Learning information

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.

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 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.

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 job categories do people searching Remote Data Scientist Machine Learning jobs in Colorado look for? The top searched job categories for Remote Data Scientist Machine Learning jobs in Colorado 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:
Data Scientist, Client Data & Measurement

Data Scientist, Client Data & Measurement

Ibotta

On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description

Ibotta is seeking a Data Scientistto join our Client Data & Measurement team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data science, testing methodologies, and statistics to provide actionable insights to the Client Data and & Measurement teams.
As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust models and methodologies for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You'll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team.
This position is available in multiple locations:
Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday).
Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you're not in the Denver metro area or the listed states, relocation reimbursement to Denver is available.
Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.
What you will be doing:
  • Contribute to creating best practices for the team
  • Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling
  • Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior
  • Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities
  • Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performance
  • Prepare models for production deployment and monitoring of performance over time
  • Embrace and uphold Ibotta's Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

What we are looking for:
  • 2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experience
  • Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred
  • A passion for driving important decisions using data science and data storytelling
  • A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning.
  • Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus
  • Demonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithms
  • Demonstrated Python skills. Spark or PySpark experience is a strong plus
  • Broad and general statistical and mathematical knowledge and skills
  • Excellent analytical and problem solving skills
  • Demonstrated knowledge, skills, and abilities in database manipulation, query languages, modeling techniques, and programming according to best practices
  • graph data schemasExposure to or interest in manipulating complex data distributed systems, and data streams
  • Exposure to or interest in MLOps a strong plus

About Ibotta ("I bought a...")
Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
Additional Details:
  • This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals.
  • Base compensation range: $110,000 - $130,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.
  • For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
  • Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
  • Applicants must be currently authorized to work in the United States on a full-time basis.
  • Applicants are accepted until the position is filled.

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