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Freelance Data Scientist Risk Jobs in Utah (NOW HIRING)

... risk, and ensure adherence to internal policies and external regulatory requirements. QUALIFICATIONS * Education : Bachelor's degree in data science, Computer Science, Business Analytics, or related ...

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... Bachelor's degree in Finance, Mathematics, Computer Science, Economics, or related field; OR ...

You will operate at the intersection of engineering, data science, and mission delivery - embedded ... Apply AI/ML methods to enhance predictive analytics, anomaly detection, and risk identification ...

You will operate at the intersection of engineering, data science, and mission delivery - embedded ... Apply AI/ML methods to enhance predictive analytics, anomaly detection, and risk identification ...

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Freelance Data Scientist Risk information

What is the difference between Freelance Data Scientist Risk vs Freelance Data Analyst Risk?

AspectFreelance Data Scientist RiskFreelance Data Analyst Risk
Required CredentialsAdvanced degrees in data science, statistics, or related fields; certifications like CAP, DASCABachelor's or master's in data analysis, statistics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentComplex modeling, predictive analytics, machine learning projectsData cleaning, reporting, visualization, basic statistical analysis
Employer & Industry UsageConsulting firms, finance, healthcare, tech companiesBusiness intelligence, marketing, finance, healthcare

Freelance Data Scientist Risk focuses on advanced analytics and predictive modeling, requiring specialized skills and certifications. Freelance Data Analyst Risk handles data reporting and visualization, often with less technical depth. Both roles serve different client needs but share a focus on risk-related data analysis.

What are the most commonly searched types of Data Scientist Risk jobs in Utah? The most popular types of Data Scientist Risk jobs in Utah are:
What cities in Utah are hiring for Freelance Data Scientist Risk jobs? Cities in Utah with the most Freelance Data Scientist Risk job openings:

AI Specialist

Black Diamond Equipment

Salt Lake City, UT • On-site

Full-time

Re-posted 22 days ago


Job description

The AI Specialist is responsible for leveraging advanced artificial intelligence tools and methodologies to analyze sales, customer, operational, and market data to identify actionable business opportunities. This role serves as a cross-functional subject matter expert (SME), partnering with organizational leaders to design, implement, and scale AI-driven solutions tailored to the specific needs of each business unit.

The AI Specialist also ensures the secure, compliant, and effective use of AI technologies by working closely with the Information Security (InfoSec) team to establish governance standards, mitigate risk, and ensure adherence to internal policies and external regulatory requirements.

QUALIFICATIONS
  • Education: Bachelor’s degree in data science, Computer Science, Business Analytics, or related field (master’s preferred)
  • Work Experience: 3–7+ years of experience in data analytics, AI/ML, or business intelligence roles
  • Hands-on experience with AI tools, machine learning models, or large language models (LLMs)
  • Strong understanding of data analysis techniques, statistical methods, and predictive modeling
  • Experience working with cross-functional teams, including IT and InfoSec, in a governed environment
  • Experience with sales analytics, market analysis, or revenue operations
  • Experience integrating AI solutions with enterprise systems (ERP, CDP, BI tools)
  • Familiarity with AI governance frameworks, cybersecurity principles, and data privacy standards
  • Knowledge of prompt engineering and LLM optimization techniques

Skills and general experience

  • Atlassian tools (e.g., Jira Software, Jira Service Management, Jira Assets, Confluence)
  • Analytical Rigor – Ability to derive meaningful insights from complex datasets
  • Business Acumen – Strong understanding of how data translates to business value
  • Technical Fluency – Deep knowledge of AI/ML tools, models, and platforms
  • Communication – Ability to explain complex AI concepts to non-technical stakeholders
  • Change Leadership – Driving adoption of new technologies across diverse teams
  • Security & Risk Awareness – Strong understanding of secure and compliant AI usage
  • Ethical Judgment – Ensuring responsible, secure, and compliant use of AI

Required licenses: None

PHYSICAL REQUIREMENTS

General physical requirements: Light work

Visual acuity requirements:  Computer work, close inspection

Motion and sensory requirements:  Standing, sitting, lifting, grasping, talking, hearing

Physical working conditions: Inside Environment

ESSENTIAL FUNCTIONS

Authorized and responsible to continuously improve upon and perform all duties according to BD’s IT policies and procedures:

1. Data Analysis & Opportunity Identification

  • Utilize AI/ML models and tools to analyze sales performance, operations, customer behavior, and market trends
  • Identify revenue growth opportunities, margin improvements, and operational efficiencies
  • Translate complex analytical outputs into clear, actionable business insights, operational decisions and financial reporting
  • Build predictive and prescriptive models to support forecasting and decision-making

2. AI Strategy & Business Enablement

  • Partner with functional leaders (Sales, Marketing, Finance, Supply Chain, etc.) to identify high-value AI use cases
  • Design tailored AI solutions aligned to department-specific goals and workflows
  • Lead pilot programs and scale successful AI initiatives across the organization
  • Act as a bridge between technical capabilities and business needs

3. AI Governance, Security & Best Practices

  • Serve as the internal expert on responsible AI usage, including data privacy, model governance, and risk mitigation
  • Work closely with the InfoSec team to ensure AI tools and data usage comply with security standards and policies
  • Define and enforce policies for secure AI implementation and usage
  • Evaluate and select appropriate AI models (e.g., LLMs, predictive models) based on use case, risk, and performance
  • Ensure compliance with internal policies and external regulatory requirements

4. Implementation & Integration

  • Collaborate with IT, data teams, and InfoSec to integrate AI solutions into existing systems (e.g., ERP, S&OP, CDP, BI platforms)
  • Ensure secure data handling, access controls, and model deployment practices
  • Oversee data readiness, model deployment, and performance monitoring
  • Continuously optimize models and workflows based on feedback and outcomes

5. Training & Organizational Adoption

  • Educate stakeholders on AI capabilities, limitations, and secure usage practices
  • Develop training materials and conduct workshops for business users and leadership
  • Promote a culture of data-driven and AI-enabled decision-making
  • Provide ongoing support to ensure sustained adoption and value realization

Black Diamond is and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Black Diamond Equipment HR representative.