Montana

Data Jobs in Montana

5 jobs found

Include remote jobs

8d ago

Applied AI Engineer

Block Labs Malta, MT

Malta, MT

8d ago

Full time Backend Developer Agentic Ai Ai Agent

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Job Description

Block Labs is building governed, production-grade AI agents and the data and agent platform behind decisioning that directly affects business outcomes. As an Applied AI Engineer, you will connect LLM-powered intelligence to audited data, risk-aware tool execution, and operator-controlled surfaces, spanning agent workflows, decision models, and analytics dashboards. This onsite role is based in Malta, MT.

What you’ll do

Deliver a production SQL BI analyst agent first: a Slack-native agent that answers business questions using governed SQL over the analytical warehouse, with validated queries, sanity-checked results, and cited evidence behind every number.
Build and own analyst agents end to end, including executive P&L Q&A, daily health briefings, and root-cause analysis for metric movements, guarded by SQL and schema validation, result sanity checks, and cross-checks against canonical reporting views.
Extend capabilities into customer-facing agents with intent triage and routing, retrieval-grounded (RAG) responses over versioned knowledge bases, and strict abort-and-escalate fallbacks; include multi-turn conversational state machines, localized brand voice, and escalation logic integrated with helpdesk and CRM platforms (webhook ingestion, session lifecycle management, intent metadata tagging, and automated escalation tickets with pre-packaged tool context).
Create a risk-stratified tool layer between agents and back-office APIs using read-only context gathering first, information-first validation before actions, multi-turn confirmation workflows, and per-tool switching that escalates low-risk mutations toward autonomous execution as evidence accumulates.
Harden agents against adversarial input using prompt injection screening, confidence-threshold freezes on sensitive intents, silent security escalation paths, and defenses against tool misuse and data exfiltration.
Build an autonomy ladder using LangGraph, the Anthropic Agent SDK and Model Context Protocol (MCP), or equivalent orchestration frameworks.
Engineer the closed feedback loop with corrections capture, proven-query and semantic memory, decision audit logging, and evaluation harnesses, including regression suites to ensure new tools or intents introduce zero degradation to existing paths.
Build and productionise models behind decision signals, including churn, lifetime value, and bonus-sensitivity models; composite player risk scores across identity, payment, gameplay, bonus, and network signals; collusion, bot-play, and multi-accounting detection; and anomaly detection for treasury and payments.
Ship models as governed signals with versioned, SLA’d contracts to the decision engine and agents, including freshness, drift, and calibration monitoring and automated retraining paths; deliver through real-time (Kafka/MSK), near-real-time, and batch (ClickHouse) tiers.
Own multi-vector withdrawal risk scoring with cited rationale and confidence, evidence-aware aggregation, and automatic re-scoring when late evidence lands.
Codify business rules with domain owners so policies remain auditable: translate policy into deterministic configurable rules, simulate and backtest threshold changes on historical data before activation, design holdouts and control groups to measure uplift, and run deep-dive analyses feeding both agents and the executive team.
Build supervisor and approval surfaces including review queues with one-click action proposal cards for high-risk mutations, searchable session replay (prompts, model outputs, reasoning chains, and tool calls), and a structured grading module feeding evaluation and fine-tuning datasets.
Design and ship dashboards the business uses: decision audit views, agent performance dashboards (correction rate, failure rate, and decision volume by rule and vector), risk review queues, and KPI views built with the BI team, including movement toward AI-assisted anomaly detection and explanation.
Ensure humans set objectives, budgets, and approval gates while AI and ML models author, score, simulate, and optimise within them; the engine executes deterministically inside approved boundaries and logs everything. The goal is grounded, auditable actions for real customers and real money, gated by human approval where stakes demand it.

Requirements

4+ years of experience in software, data science, or machine learning engineering, including 1+ years building LLM-powered agents in production (tool use and function calling, structured outputs, retrieval and memory, multi-step orchestration with LangGraph or the Anthropic Agent SDK).
Shipped a production RAG system and can discuss grounding, chunking and retrieval quality, hallucination control, and when to refuse to answer.
Can treat customer-facing agents as an attack surface, including defenses against prompt injection, tool-call abuse, and data leakage through model outputs.
Production ML lifecycle ownership across feature engineering, training, serving, monitoring, and retraining. Fraud, risk, or abuse detection experience is a strong signal (imbalanced classes, adversarial users, cost-asymmetric decisions).
Statistical rigor in experiment design, holdouts and control groups, uplift measurement, and score calibration, with the ability to defend threshold choices.
Evaluation discipline for non-deterministic systems, including building evaluation harnesses and regression suites to catch quality drift early.
Strong Python for production services, comfort in TypeScript for review and approval surfaces, and strong SQL skills on columnar analytical databases (with ClickHouse preferred).
Can take work to stakeholder-ready surfaces (review queues, approval interfaces, dashboards, lightweight internal apps) using tools such as Streamlit.
Experience designing systems where model outputs feed deterministic execution inside a clean governed boundary, including LLM observability and tracing (such as Langfuse or LangSmith), and ownership of what ships and how it fails.

Technologies

SQL, Python, TypeScript, ClickHouse, Kafka, MSK, Slack, LangGraph, Anthropic Agent SDK, Model Context Protocol (MCP), Langfuse, LangSmith, Streamlit, RAG

Nice to have

Experience in iGaming or other high-trust, transaction-intensive environments with security, fraud prevention, auditability, traceability, data integrity, and robust operational controls.
Helpdesk or CS-platform integration experience (Intercom, Zendesk, or similar) including webhooks, conversation APIs, agent-assist, or full automation.
Exposure to blockchain or crypto-native transaction flows, including on-chain data, wallet clustering, or stablecoin settlement.
Experience with constrained optimisation, bandits, or reinforcement learning under hard business constraints (budgets, caps, exclusion lists).
Experience with rule engines or decision-management systems, and Slack app development.
Event-driven and streaming experience, including Kafka or MSK consumers, idempotent processing, and failure handling.

How the team works

Fully remote with asynchronous-first communication, with EU timezone overlap preferred.
Small, high-autonomy Intelligence team within the Data function, reporting to the Head of Data, coordinating with AI, BI, and Infrastructure Teams, and for customer-facing agents with the Head of CS and product squads whose platforms the agents serve.
Architecture decisions are documented and debated; you participate in design reviews and own domain decisions.
Autonomy is earned by evidence: models and agents start propose-only and human-gated, then graduate step by step backed by simulation and outcome data.
Multi-tenant scale from day one, so what you ship for one operator must absorb the next without additional engineering effort.

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1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Montana 🇺🇸 Remote

Montana

1mo ago Closed

$50 - $100/hr Contract Senior Ai Trainer Artificial Intelligence

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Senior Data Scientist - AI Trainer role at DataAnnotation is a remote, contract position based in Montana, with an hourly rate between $50 and $100.

Responsibilities

Evaluate AI generated quantitative work for technical accuracy and real world validity across statistical analysis, predictive modeling, scientific reasoning, and data driven insights.
Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

3+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience required, comfortable writing and reviewing analytical code end to end.
Practical experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time series forecasting).
Fluency in English with strong writing skills (native or bilingual level).
Bachelor’s degree in a quantitative field preferred; advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and working times, using your own computer from home.
Competitive pay: hourly rate of $50 to $100, with potential bonus rates on some projects.
Impact: contribute to shaping AI systems designed for data and analytics reasoning.

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2mo ago

Data Analytics Engineer

Murdoch's Ranch & Home Supply Bozeman, MT 🇺🇸 Remote

Bozeman, MT

2mo ago Closed

Full time Analytics Azure Business Analytics

This position is no longer accepting applications (closed Jul 10, 2026).

Job Description

The Data Analytics Engineer at Murdoch's Ranch & Home Supply focuses on Microsoft Fabric Lakehouse architecture, Power BI, and data analytics across sales, inventory, customer, and finance to drive insights and decision-making.

Responsibilities

Collaborate with stakeholders to understand business requirements and translate them into scalable data analytics solutions.
Apply in-depth knowledge of the Microsoft Fabric ecosystem, including Lakehouse, PySpark/SQL notebooks, data pipelines, and deployment pipelines; understanding Microsoft Dynamics as a data source is a plus.
Design data models bridging the Fabric Lakehouse, Power BI semantic models, and reporting layers to ensure consistency across raw, curated, and business-facing data.
Optimize data models for storage, retrieval, and analysis while ensuring data integrity, accuracy, and reliability; knowledge of Fabric capacity optimization is advantageous.
Implement data integration pipelines using Microsoft Fabric and other relevant tools to extract, transform, and load data from diverse sources into a unified data platform.
Create interactive dashboards, reports, and visualizations using Power BI and DAX to enable actionable insights.
Identify performance bottlenecks and implement optimizations to improve data processing, query performance, and overall system efficiency.
Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery.
Stay current with the latest advancements in data analytics technologies and industry trends, applying best practices in solution design and implementation.

Requirements

Experience as a Data Engineer owning core data pipelines, with a primary focus on Microsoft Fabric and Azure technologies.
Extensive knowledge and hands-on experience with Microsoft Fabric, including medallion architecture using Lakehouse, PySpark notebooks, data and deployment pipelines.
Experience designing and maintaining scalable semantic models (Power BI / Tabular / DAX) to provide a consistent, governed analytics layer across the business.
Establish and maintain best practices for version control, CI/CD, testing, and deployment of data pipelines and semantic models.
Proficiency in data visualization techniques using Power BI / DAX.
Strong problem-solving skills and the ability to design scalable and efficient data analytics architectures.
Excellent understanding of data warehousing concepts, data governance, and data quality principles.
Solid knowledge of data security and compliance considerations in the context of data analytics.
Strong customer service focus for assisting the team and business functions with their data analytics needs.
Ability to present, facilitate, and participate in requirements elicitation and brainstorming sessions with internal and external teams in small and medium group environments.
Track record of building impactful solutions that you are proud to stand behind.

Technologies

Microsoft Fabric
Lakehouse
PySpark
SQL notebooks
Data pipelines
Deployment pipelines
Microsoft Dynamics
Power BI
DAX
Azure
Tabular

Benefits

Amazing Employee Discount on everything from clothes to power tools to pet food.
Multiple Health Insurance options to best suit your needs after 60 days.
Dental & Vision options to complete your health plan.
Life Insurance to secure your family’s financial future.
Paid Vacation allows you to relax and recharge.
Holiday Pay throughout the year so you can celebrate with your family.
Paid Sick Time empowers you to stay home and focus on your health without losing pay.
401(k) with a generous 4% company match to help plan for retirement.
Paid Parental Leave to take time to bond with your family’s new addition.
Community Giving Program matches your donations and provides paid volunteer hours.
Wellness Program saves you money by lowering medical premiums with credits earned.
Training Program helps you expand your knowledge and skills with over 250 courses.
Other various Voluntary Insurance Options.

Physical Demands

Sitting for long periods of time.
Repetitive wrist movements on keyboard.
Close vision for PC work.
Bending, carrying, and pushing.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

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3mo ago

Data Engineer

Westaff Helena, MT

Helena, MT

3mo ago Closed

$40 - $40/hr Contract Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

This Data Engineer role, based onsite in Helena, Montana, supports a state office with a focus on data management, architecture, and pipelines. The engagement runs for six months as a contract, with the potential for permanent placement.

Responsibilities

Oversees the collection, governance, and storage of data across the department, enhancing quality, integrity, reliability, and access to data assets.
Architects and implements modern data and application architectures with a focus on cloud platforms and modular, best‑in‑class components.
Develops data pipelines that integrate information from multiple source systems and establishes the infrastructure for efficient extraction, transformation, and loading of data from diverse sources.

Requirements

3-5 years of experience in data analytics, computer science, information technology, or a related field.
A bachelor’s degree in data sciences is desirable.
Experience with PowerShell.
Proficiency in SQL, Oracle, Snowflake, Fivetran, Python, DBT, GitLab/GitHub, Power BI, Tableau, and ThoughtSpot.
Successful applicants may be subject to a background check.

Technologies

PowerShell
SQL
Oracle
Snowflake
Fivetran
Python
DBT
GitLab/GitHub
Power BI
Tableau
ThoughtSpot

Benefits

Opportunity to work with a state office
Free online courses after 80 hours worked
Benefits offered
Weekly pay

What You Will Do

Oversee the collection, governance, and storage of data across the department, improving data quality, integrity, reliability, and accessibility.
Design and implement modern data and application architectures with emphasis on cloud platforms and component-based solutions.
Build data pipelines that integrate data from multiple source systems and establish infrastructure for efficient data extraction, transformation, and loading.

What You Will Bring

3-5 years of experience in data analytics, computer science, information technology, or a related field. A bachelor’s degree in data sciences is desirable.
Experience with PowerShell.
Fluency in SQL, Oracle, Snowflake, Fivetran, Python, DBT, GitLab/GitHub, Power BI, Tableau, and ThoughtSpot.
Successful applicants may be subject to a background check.

What You Will Gain

Opportunity to work with a state office
Free online courses after 80 hours worked
Benefits offered
Weekly pay

Job Requirements

3-5 years of experience in data analytics, computer science, information technology, or a related field.
Fluency in the following technologies: SQL, Oracle, Snowflake, Fivetran, Python, DBT, GitLab/GitHub, Power BI, Tableau, ThoughtSpot.

Compensation and Details

Salary: USD 40 per hour
Location: Helena, MT onsite
Job Type: Contract
Experience: 3-5 years minimum
Education: Bachelor’s degree desirable

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3mo ago

Data Analyst and State Reporting Officer

Helena Public Schools Helena, MT

Helena, MT

3mo ago Closed

$53k - $60k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Helena Public Schools offers a comprehensive benefits package and a collaborative, data driven environment onsite in Helena, Montana. The Data Analyst and State Reporting Officer role focuses on integrating and maintaining district and Montana state databases, delivering reliable data reporting, and providing business analysis, SIS support, and cross department data training.

Benefits

Comprehensive benefits package.

Location: Helena, MT (onsite) at Lincoln Center Administration Offices.

Salary: USD 53,331 - 60,340 per year.

Responsibilities

Collaborate with district administrators to assemble, upload, and certify data collections throughout the year.
Assist with troubleshooting large data sets to support accurate reporting.
Provide secondary technical support, guidance on design, and ongoing maintenance of the district's Student Information System (SIS).
Serve as a liaison with the Montana Office of Public Instruction and database vendors to resolve operational problems and technical issues.
Perform file management tasks, including transferring, loading, archiving and converting data to manage, maintain and secure student information.
Partner with the SIS Integration Coordinator to maintain and update the district's SIS administration software package. Monitor required upgrades to the database and to plugins to ensure optimal integrated operation of SIS.
Provide business analysis and system integration with various department heads for accurate reporting and data readiness of responsible programs.

Requirements

Any combination equivalent to bachelor's degree and four years of experience working with databases
Demonstrated experience using Database Tools, Windows OS and/or Mac OS
Demonstrated experience in Microsoft PowerAutomate and/or Teams

Technologies

Student Information System (SIS)
TEAMS
AIM
TOE
MAEFAIRS
Microsoft PowerAutomate
Microsoft Teams
Windows OS
Mac OS

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Data Jobs in Montana

Applied AI Engineer

Senior Data Scientist - AI Trainer

Data Analytics Engineer

Data Engineer

Data Analyst and State Reporting Officer

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