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Remote Azure Data Scientist Jobs in Colorado (NOW HIRING)

In Tandem

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

Product Data Scientist Department: Data Engineering Employment Type: Permanent - Full Time Location ... Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ...

Ennoble Care

Director of Data Engineering

Denver, CO · Remote

$117K - $141K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks ...

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 ... Data Scientist to provide technical expertise in sustaining mission-critical software and systems.

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 ...

Viasat, Inc.

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

UDR

Senior Data Platform Engineer

Highlands Ranch, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

UDR Inc

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

Eisneramper Llp

AI Solution Architect

Denver, CO · On-site +1

$64.75 - $85.50/hr

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field * 6+ ... Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service:

Lindsay & Brownell

AI Solution Architect

Denver, CO · On-site +1

$64.75 - $85.50/hr

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field * 6+ ... Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service:

Propelus

Senior Data Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

... g., AWS, Azure, GCP). * Experience with ETL/ELT tools such as Apache Airflow or similar. * Ability to work collaboratively with teams across data science, business intelligence, and software ...

Propelus

Senior Data Analytics Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

You will work independently on assigned projects, collaborating with data scientists, product ... Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and related data warehousing ...

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Remote Azure Data Scientist information

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

To excel as a Remote Azure Data Scientist, you need expertise in data analysis, machine learning, statistics, and a strong foundation in computer science, often supported by a degree in a relevant field. Familiarity with Azure Machine Learning, Power BI, Python, and data engineering tools, as well as certifications like Microsoft Certified: Azure Data Scientist Associate, are typically required. Outstanding problem-solving abilities, communication skills, and self-motivation are essential soft skills for collaborating remotely and translating insights into business solutions. These skills ensure you can build effective models, leverage Azure's cloud capabilities, and deliver data-driven results in distributed work environments.

What is a Remote Azure Data Scientist?

A Remote Azure Data Scientist is a professional who leverages Microsoft Azure’s cloud-based tools and services to analyze data, build machine learning models, and derive insights, all while working from a remote location. They use Azure Machine Learning, Data Lake, Databricks, and other Azure services to manage large datasets, perform predictive analytics, and deploy data-driven solutions. Their work enables organizations to make informed decisions, automate processes, and improve business outcomes without the need for on-site presence.

What is the difference between Remote Azure Data Scientist vs Remote Data Analyst?

AspectRemote Azure Data ScientistRemote Data Analyst
Required CredentialsAzure certifications, data science degrees, programming skillsData analysis certifications, SQL, Excel, basic programming
Work EnvironmentCloud platforms, machine learning models, Azure toolsData visualization, reporting, data querying
Employer & Industry UsageTech, finance, healthcare using Azure cloud servicesBusiness, marketing, finance for data reporting
Common Search & ComparisonYesYes

The Remote Azure Data Scientist focuses on building machine learning models and leveraging Azure cloud services, requiring advanced data science skills and Azure certifications. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and visualizations, often with less emphasis on cloud platforms. Both roles are vital in data-driven industries but differ in technical complexity and tools used.

How does a Remote Azure Data Scientist typically collaborate with distributed teams and stakeholders?

As a Remote Azure Data Scientist, collaboration is often facilitated through cloud-based tools, virtual meetings, and shared workspaces like Microsoft Teams and Azure DevOps. You’ll regularly interact with data engineers, software developers, and business analysts to align on data requirements, model deployment, and project goals. Clear communication and documentation are essential, as team members may be in different time zones or departments. Regular sync-ups, agile ceremonies, and shared dashboards help keep everyone on track and ensure that insights are effectively translated into business value.
What are the most commonly searched types of Azure Data Scientist jobs in Colorado? The most popular types of Azure Data Scientist jobs in Colorado are:
What are popular job titles related to Remote Azure Data Scientist jobs in Colorado? For Remote Azure Data Scientist jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Scientist jobs in Colorado look for? The top searched job categories for Remote Azure Data Scientist jobs in Colorado are:
What cities in Colorado are hiring for Remote Azure Data Scientist jobs? Cities in Colorado with the most Remote Azure Data Scientist job openings:
Remote Azure Data Scientist jobs near you

Product Data Scientist

In Tandem

Denver, CO • On-site, Remote

$100K - $140K/yr

Full-time

Retirement, PTO

Re-posted 22 days ago

Job description

Product Data Scientist
Department: Data Engineering
Employment Type: Permanent - Full Time
Location: Remote USA - In Tandem
Compensation: $100,000 - $140,000 / year
Description
At In Tandem, we build technology that helps families manage everyday routines and navigate life's biggest transitions. Through our four brands-OurFamilyWizard, Cozi, FamilyWall, and Custody Navigator-we help families stay organized, communicate well, and foster healthy childhoods.
We believe technology should strengthen relationships and make daily coordination less complicated. Everything we create is designed to lighten the mental load, reduce conflict, and support families through big and small moments.
If you want your work to make a real difference in the daily lives of parents and kids, In Tandem is the place where your impact will truly matter.
As our Product Data Scientist, you'll bring rigorous behavior analysis and predictive modeling to how our apps understand and serve our members - partnering closely with Product and Finance to turn millions of family interactions into models that shape both the product roadmap and the business strategy across OurFamilyWizard, Cozi, and FamilyWall.
What you will accomplish:
Smart, personalized in-app experiences
  • Ship the models that power personalized in-app experiences - predicting what each member is likely to want next based on real-time behavior, family context, and engagement history.
  • Detect meaningful patterns in product usage data - communication, scheduling, and activity signals - and build the models that turn those patterns into in-app suggestions, alerts, and guidance for families.
  • Help replace fixed-placement UI logic with algorithmic decisioning that adapts every time someone opens the app.

Behavioral prediction and lifecycle ML
  • Build the churn, retention, and activation models that help Product understand which behaviors predict long-term value and which interventions are worth shipping.
  • Develop predictive segmentation, propensity, and uplift models, refreshed continuously through automated pipelines so the rest of the business is always acting on current signal.

Strategic modeling for Finance
  • Partner with Finance on cohort-level subscriber and revenue forecasting, LTV by acquisition source, and sensitivity analysis on the assumptions that matter most.
  • Build pricing, promo, and refund-risk models that quantify the financial impact of monetization decisions before we ship them.

Production ML pipelines
  • Train, deploy, and monitor models in Databricks and AWS, using Claude Code as your primary engineering interface.
  • When agentic delivery makes sense, wrap models in managed agents that surface predictions into the workflows stakeholders already use.

Experimentation and causal rigor
  • Move the team from "what happened" to "what would happen if" - uplift modeling, geo-tests, and A/B analysis grounded in proper causal framing.

Who you are:
  • A modeler who thinks in patterns, hypotheses, and tests, and who owns problems end to end - from question framing through SQL, feature pipelines, modeling, serving, and stakeholder communication. You ship models real decisions depend on, not just notebooks and decks.
  • Pragmatic about ML - you know when a model is worth building and when a heuristic does the job, and you translate a CFO's question and a PM's question with the same fluency.
  • AI-first in how you build. Modern AI tooling - Claude Code, agent SDKs, coding agents - is part of your craft, and you operate at higher leverage because of it.
  • Motivated by work that matters. Families rely on these products during real moments in their lives.

What you bring:
  • 5+ years shipping predictive models in production, ideally across personalization, behavioral prediction, lifecycle ML, or subscription forecasting.
  • Strong Python and SQL. Hands-on experience with Databricks and AWS.
  • Demonstrated success with subscription or consumer-app metrics - LTV, churn, retention, activation, forecasting.
  • Solid grasp of experimentation and causal methods (A/B, DiD, uplift, geo-tests, or similar).
  • Production rigor - feature pipelines, model monitoring, retraining cadence.

Why Join?
We're redefining family technology.
In Tandem brings together a growing portfolio of trusted tools that support families, and the professionals who guide them, through the moments that matter most. We bring clarity to chaos and stability to daily family life, helping parents feel less stressed so kids can have healthier childhoods.
Scale meets startup energy.
With more than 20 years of impact and a strong market presence, we're entering a bold new chapter of growth. We have the foundation, the momentum, and the ambition to go further: expanding our reach, deepening our impact, and elevating the tools families and professionals rely on every day.
Purpose-driven. Performance-focused. People-first.
Our culture is rooted in accountability, curiosity, and collaboration. We value diverse perspectives, thoughtful problem-solving, and teammates who care deeply about building something that matters.
Here's a list of our key benefits:
  • Medical: In Tandem pays 100% of the premium for employees AND 99% for all additional family members
  • 401k: Up to a 4% match with immediate vesting
  • Paid leave for all new parents
  • Learning & Development stipend for employees
  • Paid Time Off: 11 Holidays + Winter Break (3 Days) + Volunteer Time Off (1 Day) + Floating Holiday (1 Day)
  • Personal Time Off: 15 days for 0-1 years of employment, 20 days 1-3 years of employment
  • Supportive and flexible working environment - work from anywhere!

Come As You Are!
In Tandem provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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