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Data Science Manager Jobs in Montana (NOW HIRING)

Collaborate with Data Science to ensure model inputs, features, and outputs are traceable ... Build and maintain automation for compaction, retention, lifecycle management, and cost controls

Collaborate with Data Science to ensure model inputs, features, and outputs are traceable ... Build and maintain automation for compaction, retention, lifecycle management, and cost controls

Senior AI Product Manager

Bozeman, MT · On-site

$129 - $261/hr

Senior AI Product Manager** to lead the execution, scale, and lifecycle management of machine ... You will collaborate directly with engineering, data science, and design teams to deliver high ...

Senior AI Product Manager

Bozeman, MT · On-site +1

$129K - $170K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Demonstrated experience managing product lifecycles from ideation through launch and iteration in ...

... data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on ...

... data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on ...

... data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on ...

... Management (DTA), Data Science (DAN), Data Science & Analysis (ESA), Development Operations (ESA), Digital Strategy (ESA), Documentation / Technical Writing (DOC), Electrical Engineering (ELE ...

... Provide data and reporting to aid in aligning resources to projected pipeline. • Manage risk ... Required : • High School Diploma • Bachelor's Degree in Computer Science, Management of ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

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Data Science Manager information

See Montana salary details

$28.5K

$89.2K

$157.9K

How much do data science manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science manager in Montana is $89,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $115,200.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Montana? The most popular types of Data Science jobs in Montana are:
What job categories do people searching Data Science Manager jobs in Montana look for? The top searched job categories for Data Science Manager jobs in Montana are:
What cities in Montana are hiring for Data Science Manager jobs? Cities in Montana with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Montana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $89,164 per year, or $42.9 per hour.

Staff Data Engineer

onX

Bozeman, MT • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago


Job description

ABOUT THIS ROLE

The Staff Data Engineer is a senior leader responsible for designing and evolving core components of onX's lakehouse and data platform. This role focuses on how data is structured, governed, secured, and described so that analytics, product features, and AI systems can operate reliably at scale.

This engineer operates at the intersection of data architecture, metadata, governance, and security, leading complex initiatives and setting technical direction within the Data Engineering organization. They are a trusted technical partner to Product, Analytics, Data Science, Security, and Platform teams, and serve as a force multiplier for other engineers through high-level technical guidance and active mentorship.

As an onX Data Engineer, your day to day responsibilities would look like:Technical Leadership & Architecture
  • Design and evolve the Iceberg-based lakehouse architecture to balance scalability, cost, performance, and maintainability.
  • Define and promote standards for table design, partitioning, schema evolution, optimization, and data layout.
  • Lead architectural efforts spanning batch, streaming, and event-driven data processing where they deliver business value.
  • Drive the design and delivery of complex, cross-team initiatives, enabling teams to move independently within established architectural guidance.
  • Build vs. Buy: Evaluate and integrate technologies.
Metadata, Governance & Open Standards
  • Define how datasets, pipelines, features, and models are described, related, and governed using shared metadata.
  • Lead the adoption and integration of open-source metadata and catalog tools (e.g., OpenMetadata or similar ecosystems).
  • Establish metadata standards that enable self-service analytics, governance, and AI readiness.
  • Partner with BI and Analytics to ensure domain models are clearly documented and aligned to business language.
  • Collaborate with Data Science to ensure model inputs, features, and outputs are traceable, explainable, and reusable.
Security, Access Control & Compliance
  • Design and evolve security and access-control models for Apache Iceberg, including table-, column-, and row-level controls.
  • Partner with Security and Platform teams to embed policy enforcement directly into data access paths.
  • Drive metadata-driven authorization patterns that scale across tools and user groups.
  • Ensure privacy, compliance, and regulatory requirements are incorporated into platform design.
  • Balance strong security guarantees with usability to support safe self-service.
Platform Reliability & Operations
  • Build and maintain automation for compaction, retention, lifecycle management, and cost controls.
  • Establish observability standards that connect pipeline health, data quality, and reliability metrics.
  • Provide architectural oversight during critical incidents and drive long-term 'Keep the Lights On' (KTLO) reduction.
  • Recommend tooling and process improvements based on industry standards and operational experience.
Organizational Impact & Collaboration
  • Align technical work with business priorities by understanding how data supports onX products and customer outcomes.
  • Communicate complex technical concepts clearly to engineers, product partners, and leadership.
  • Lead and participate in architecture and design reviews, setting a high bar for technical rigor.
  • Foster strong cross-team collaboration across Data Engineering, Platform, Security, Analytics, and Data Science.
  • Mentor senior and mid-level engineers, raising the technical bar across the team.
LOCATION

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, "Basecamp," or "Connection Hub." 

  • Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option.
  • Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure.  
    • Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. 
  • Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members. 
    • Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont.
WHAT YOU'LL BRINGRequired
  • Bachelor's degree in Computer Science or equivalent experience.
  • Deep industry experience (typically 12+ years) building and operating large-scale data systems.
  • Deep expertise in distributed data systems and data architecture.
  • Strong experience with Apache Iceberg and similar table formats (Delta Lake, Hudi).
  • Proven experience designing secure and governed data platforms.
  • Expertise in Python, SQL, and orchestration patterns (e.g., Airflow).
  • Experience working with data ecosystems, including metadata, catalog, or governance tooling.
  • Strong written and verbal communication skills.
  • Permanent U.S. work authorization.
Cloud & Platform Experience
  • Deep experience in at least one major cloud environment (GCP, AWS, or Azure).
  • Familiarity with cloud-native data services such as query engines, stream/batch processing systems, and object storage-based lakehouses.
  • Comfort with infrastructure-as-code and automated platform management.
COMPENSATION

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $175,000 to $218,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE ARE OFFERING YOU
  • Competitive salaries, annual bonuses, equity, and opportunities for growth
  • Comprehensive health benefits including a no-monthly-cost medical plan 
  • Parental leave plan of 5 or 13 weeks fully paid
  • 401k matching at 100% for the first 3% you save and 50% from 3-5%
  • Company-wide outdoor adventures and amazing outdoor industry perks
  • Annual "Get Out, Get Active" funds to fuel your active lifestyle in and outside of the gym
  • Flexible time away package that includes PTO, STO, VTO, and 7 paid holidays annually
PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PS@onxmaps.com. 

Position open until filled. 

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