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Remote Predictive Analytics Jobs (NOW HIRING)

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Tech Tammina

Data Analytics Technical Lead

Data Analytics Technical Lead Remote contract role Data Analytics Technical Lead with extensive ... AI/ML solutions and predictive analytics Data warehousing and ETL/ELT modernization Business ...

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning ... We have a flexible work environment and allow remote work depending on one's personal choice.

Humana, Inc.

Senior Financial Analytics Professional

$87K - $109K/yr

Leverage predictive analytics and machine learning techniques to enhance forecasting capabilities ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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Remote Predictive Analytics information

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How much do remote predictive analytics jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote predictive analytics in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

Is predictive analytics a good career?

Predictive analytics is a growing field within data science that involves using statistical models and machine learning techniques to forecast future outcomes. It offers strong job prospects, competitive salaries, and opportunities across various industries, often requiring skills in programming, statistics, and data visualization tools. Continuous learning and certification can enhance career advancement in this field.

What are the key skills and qualifications needed to thrive as a Remote Predictive Analytics professional, and why are they important?

To thrive in Remote Predictive Analytics, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree in data science, mathematics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based analytics platforms is essential, along with certifications such as SAS, AWS, or Google Cloud. Strong problem-solving, communication, and time management skills help professionals effectively interpret data insights and collaborate remotely with stakeholders. These competencies are critical for delivering accurate, actionable predictions and driving data-informed decisions in distributed work environments.

What are remote predictive analytics jobs?

Remote predictive analytics jobs involve analyzing large datasets to identify patterns, trends, and future outcomes, all while working from a location outside of a traditional office. Professionals in these roles use statistical methods, machine learning, and data modeling to forecast business results and provide actionable insights. They often collaborate with teams virtually and use specialized software to process and interpret data. These positions are common in industries like finance, healthcare, marketing, and e-commerce where understanding future trends is crucial.

Is AI taking over analytics jobs?

Remote predictive analytics professionals use AI and machine learning tools to analyze data and generate insights. While AI automates certain tasks, these roles still require human expertise in interpreting results, developing models, and making strategic decisions. AI complements rather than replaces analytics jobs, emphasizing the need for skills in data analysis, programming, and domain knowledge.

How do remote predictive analytics professionals typically collaborate with cross-functional teams?

Remote predictive analytics professionals frequently collaborate with data engineers, business analysts, and stakeholders through virtual meetings and shared digital platforms. They often participate in agile workflows, leveraging collaboration tools like Slack, Jira, or Trello to coordinate tasks and share progress. Effective communication of complex findings to non-technical team members is a key challenge, so clear documentation and visualization tools are essential. Building strong relationships remotely requires proactive engagement and regular check-ins to ensure project alignment and timely delivery of analytics insights.

Is 40 too late for data science?

Remote predictive analytics roles often value skills and experience over age, and many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with relevant certifications, can help establish credibility regardless of age. Age should not be a barrier to entering the field if you develop the necessary technical skills and stay current with industry tools.

Can you work remotely in data analytics?

Remote work is common for data analytics roles, including predictive analytics positions, as many tasks involve analyzing data, creating models, and using tools like Python or R that can be accessed remotely. Employers often require strong communication skills and proficiency with cloud-based platforms or collaboration tools to support remote work arrangements.
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Remote Predictive Analytics jobs near you

Predictive Analytics Fellow, Workforce Intelligence

AlphaHire

Remote

Contractor

Posted 24 days ago

Job description

About AlphaHire Workforce Intelligence Lab (WIL)
The AlphaHire Workforce Intelligence Lab (WIL) is an applied workforce research initiative focused on construction labor markets, workforce planning systems, compensation intelligence, labor scarcity analysis, and operational workforce visibility.
WIL develops workforce intelligence frameworks and regional labor market analysis designed to support operational decision-making across the construction industry.
The lab synthesizes publicly available labor data, compensation trends, contractor growth indicators, workforce demand signals, and construction activity into workforce intelligence systems for construction firms and industry operators.
Learn more:
AlphaHire Workforce Intelligence Lab (WIL)
About the role
We are seeking Predictive Analytics Fellows interested in workforce forecasting support systems, labor market analytics, operational workforce modeling, and workforce intelligence initiatives focused on the construction industry.
This fellowship is designed for graduate students, PhD candidates, analysts, data scientists, operations researchers, and analytically oriented professionals interested in workforce systems, labor market visibility, workforce planning, compensation analysis, and operational forecasting support.
Predictive Analytics Fellows will contribute to workforce intelligence initiatives focused on:
  • workforce trend modeling
  • labor market analytics
  • compensation trend analysis
  • workforce forecasting support
  • labor scarcity indicators
  • workforce intelligence methodologies
  • operational workforce visibility
  • workforce planning systems
  • workforce signal interpretation
  • dashboard validation
  • regional workforce intelligence reporting

This is a flexible, remote, project-based fellowship structured around approximately 3-5 hours per week.
Requirements
  • Support workforce intelligence and workforce forecasting initiatives
  • Assist with workforce analytics and labor market trend analysis
  • Contribute to workforce intelligence reports and publications
  • Participate in workforce intelligence framework and forecasting support development
  • Research publicly available labor market and workforce datasets
  • Support operational workforce visibility and workforce planning initiatives
  • Assist with dashboard validation and workforce signal analysis
  • Contribute to workforce intelligence methodology documentation
  • Support workforce forecasting support systems focused on operational construction decision-making

Preferred backgrounds
We are particularly interested in candidates with backgrounds in:
  • predictive analytics
  • workforce analytics
  • operations research
  • econometrics
  • statistics
  • industrial engineering
  • labor economics
  • forecasting systems
  • data science
  • business analytics
  • operational analytics
  • quantitative modeling
  • applied economics
  • mathematics
  • data analytics

Graduate students, PhD candidates, early-career researchers, analysts, and analytically oriented professionals are encouraged to apply.
Benefits
Fellowship structure
  • Flexible remote participation
  • Approximately 3-5 hours per week
  • Project-based collaboration
  • Ongoing contribution opportunities based on interest and availability

Additional information
This is an applied workforce analytics fellowship focused on operational workforce visibility and workforce planning support for the construction industry.
The fellowship is intended for individuals interested in:
  • workforce forecasting support systems
  • workforce analytics
  • labor market analysis
  • operational workforce systems
  • workforce intelligence methodologies
  • compensation intelligence
  • labor scarcity interpretation
  • workforce planning frameworks
  • construction workforce intelligence

rather than speculative forecasting or purely theoretical modeling.
The fellowship emphasizes:
  • explainable methodologies
  • operational usefulness
  • workforce visibility
  • practical workforce planning support
  • labor market interpretation

NOT:
  • black-box prediction systems
  • exaggerated AI claims
  • speculative forecasting
  • unsupported predictive precision

Benefits
What fellows receive
Predictive Analytics Fellows will have opportunities to:
  • contribute to workforce intelligence reports and publications
  • participate in applied workforce analytics initiatives
  • gain exposure to workforce planning systems and labor market analysis
  • contribute to workforce intelligence methodologies and forecasting support systems
  • build portfolio-quality workforce intelligence and analytics projects
  • collaborate on workforce intelligence dashboards and workforce visibility systems
  • participate in workforce intelligence discussions with researchers, analysts, and industry operators

As WIL expands, fellows may also have opportunities to participate in:
  • expanded research collaborations
  • advisory initiatives
  • future grant-supported projects
  • workforce intelligence publications and presentations
  • workforce forecasting and workforce planning initiatives

Apply