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Remote Manufacturing Data Scientist Jobs in Colorado

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 ...

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.

Averna

Data Analyst

Denver, CO · On-site +1

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Averna

Data Analyst

Denver, CO · Remote

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

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 ...

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Remote Manufacturing Data Scientist information

How does a Remote Manufacturing Data Scientist typically collaborate with onsite engineering and production teams?

As a Remote Manufacturing Data Scientist, collaboration with onsite teams is often facilitated through regular virtual meetings, shared dashboards, and collaborative project management tools. You may analyze production data, develop predictive models, and then present insights and recommendations to engineers and plant managers via video calls or detailed reports. Building strong communication skills and familiarity with digital collaboration platforms is essential for bridging the gap between remote analytics and hands-on manufacturing processes. Proactively seeking feedback and clarifying technical requirements with onsite teams ensures your data-driven solutions are both practical and impactful.

What does a Remote Manufacturing Data Scientist do?

A Remote Manufacturing Data Scientist analyzes large sets of manufacturing data to uncover insights, optimize processes, and support decision-making, all while working offsite. They use statistical methods, machine learning, and data visualization tools to identify patterns, predict equipment failures, and recommend improvements for efficiency and quality. Collaborating with engineering and production teams, they help implement data-driven solutions without being physically present at the manufacturing facility. Their work contributes to reducing costs, improving productivity, and ensuring product quality in the manufacturing sector.

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

To thrive as a Remote Manufacturing Data Scientist, you need expertise in data analytics, statistical modeling, and a solid educational background in fields like computer science, engineering, or statistics. Familiarity with programming languages (such as Python or R), machine learning platforms, and manufacturing-specific systems like ERP or MES is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies enable you to extract actionable insights from complex manufacturing data, driving process improvements and operational efficiency from a remote setting.

What is the difference between Remote Manufacturing Data Scientist vs Remote Manufacturing Engineer?

AspectRemote Manufacturing Data ScientistRemote Manufacturing Engineer
Required CredentialsDegree in Data Science, Statistics, or related field; proficiency in data analysis toolsDegree in Mechanical, Industrial, or Manufacturing Engineering; technical skills in manufacturing processes
Work EnvironmentPrimarily analytical, working with data sets and software tools remotelyFocus on process design, optimization, and technical implementation, often involving remote collaboration
Industry UsageUsed across manufacturing sectors for data-driven decision makingApplied in designing and improving manufacturing systems and processes

The main difference is that a Remote Manufacturing Data Scientist focuses on analyzing manufacturing data to inform decisions, while a Remote Manufacturing Engineer concentrates on designing and optimizing manufacturing processes. Both roles may work remotely and require technical expertise, but their core responsibilities differ significantly.

What are popular job titles related to Remote Manufacturing Data Scientist jobs in Colorado? For Remote Manufacturing Data Scientist jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Manufacturing Data Scientist jobs in Colorado look for? The top searched job categories for Remote Manufacturing Data Scientist jobs in Colorado are:
What cities in Colorado are hiring for Remote Manufacturing Data Scientist jobs? Cities in Colorado with the most Remote Manufacturing Data Scientist job openings:
Remote Manufacturing Data Scientist jobs near you
Infographic showing various Remote Manufacturing Data Scientist job openings in Colorado as of June 2026, with employment types broken down into 73% Full Time, 15% Part Time, 2% Temporary, 8% Contract, and 2% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Product Data Scientist

In Tandem

Denver, CO • On-site, Remote

$100K - $140K/yr

Full-time

Retirement, PTO

Re-posted 23 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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