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From Home Predictive Modeling Jobs in Missouri (NOW HIRING)

Data Scientist

Saint Louis, MO · On-site

$85 - $115/hr

Extract, clean, and manipulate structured and unstructured data from multiple sources * Perform exploratory data analysis to identify patterns, trends, and insights * Develop predictive models to ...

These products include using algorithms for automation, building predictive models, designing ... Experience working with data (merging, recoding, etc.) from a variety of sources/formats

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Integrate data from multiple sources and develop processes to consolidate, transform, and prepare ... Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. * Hands-on ...

New

Showing results 21-40

From Home Predictive Modeling information

What is a work-from-home predictive modeling job?

A work from home predictive modeling job involves using statistical techniques, machine learning, and data analysis to build models that forecast future outcomes based on historical data—all performed remotely. Professionals in this field analyze data sets, select appropriate algorithms, and create models to help inform business decisions or predict trends. These roles are common in industries like finance, healthcare, marketing, and insurance. Working remotely allows predictive modelers to collaborate with teams virtually, using specialized software and cloud-based tools.

What skills and qualifications are needed to thrive as a work-from-home predictive modeler?

To thrive as a Work-from-Home Predictive Modeler, you need strong statistical analysis skills, proficiency in programming languages like Python or R, and typically a degree in statistics, mathematics, data science, or a related field. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud-based platforms (such as AWS or Azure) are highly valued, along with certifications in data science or analytics. Exceptional problem-solving abilities, attention to detail, and effective remote communication skills help set outstanding professionals apart. These skills ensure the accurate development and communication of predictive models that drive data-driven decision-making in a remote work environment.

What are the typical collaboration methods for remote predictive modeling professionals working from home?

Remote predictive modeling professionals often collaborate through virtual meetings, shared data platforms, and cloud-based modeling tools. Effective communication with data engineers, analysts, and business stakeholders is essential, typically facilitated via video calls, chat apps, and project management systems. Regular check-ins and shared documentation help ensure alignment on project goals, model assumptions, and results. While working independently is common, there is a strong emphasis on teamwork and timely feedback to drive successful model deployment and refinement.

What is the difference between From Home Predictive Modeling vs From Home Data Analysis?

AspectFrom Home Predictive ModelingFrom Home Data Analysis
CredentialsTypically requires a degree in statistics, data science, or related fields; certifications in predictive analytics are commonRequires similar credentials, often with a focus on data analysis, statistics, or business intelligence
Work EnvironmentRemote, often collaborative with data science teams, using modeling tools and programming languagesRemote, involves analyzing datasets, creating reports, and visualizations, often using Excel, SQL, or BI tools
Industry UsageUsed in finance, marketing, healthcare for forecasting and decision-makingApplied across industries for insights, reporting, and data-driven strategies

From Home Predictive Modeling focuses on building models to forecast future outcomes, while From Home Data Analysis emphasizes examining data to generate insights and reports. Both roles often require similar skills and credentials but differ in their primary objectives and tools used.

What are popular job titles related to From Home Predictive Modeling jobs in Missouri?

For From Home Predictive Modeling jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching From Home Predictive Modeling jobs in Missouri look for?

The top searched job categories for From Home Predictive Modeling jobs in Missouri are:

What cities in Missouri are hiring for From Home Predictive Modeling jobs?

Cities in Missouri with the most From Home Predictive Modeling job openings:

Consultant - AI Solutions & Architecture - 1898 & Co. (Kansas City)

Burns & McDonnell

Kansas City, MO • On-site

Full-time

Re-posted 17 days ago


Burns & McDonnell rating

8.7

Company rating: 8.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

3rd of 80 rated construction


Job description

Description At 1898 & Co., we help our clients unlock the power of data and analytics to shape smarter business strategies and drive innovation. Our Business Intelligence & Analytics team works with electric utilities, energy companies, and other critical infrastructure clients to design, implement, and deliver advanced analytics and AI-enabled solutions. As part of Burns & McDonnell, we bring decades of industry expertise and a spirit of innovation to solve some of the most pressing infrastructure challenges of our time.
We are seeking a consultant focused on AI solutions and architecture who is passionate about applying analytics and artificial intelligence to transform utility operations and decision-making. In this role you'll partner with clients to identify high-impact opportunities, shape AI strategies, and collaborate with data scientists, engineers, and business experts to design solutions that transform operations, improve customer experiences, and advance sustainability. You'll bring curiosity, adaptability, and a commitment to continual learning to stay ahead of emerging technologies and their applications in the industry.
What You'll Do
  • Conduct research into the application of analytics to new domains, with a focus on electric utilities and critical infrastructure.
  • Apply a pragmatic problem-solving approach to create value while ensuring robustness and data integrity.
  • Document and summarize findings, develop visualizations, and communicate insights effectively to stakeholders.
  • Envision and design AI-enabled solutions that address challenges such as grid modernization, asset management, outage prediction, renewable integration, and customer engagement.
  • Work closely with clients to translate business needs into AI/analytics opportunities and define solution roadmaps.
  • Collaborate with technical experts to ensure solutions are practical, scalable, and aligned with client goals.
  • Stay informed on emerging AI technologies and evaluate their impact on utility operations.
  • Lead workshops and presentations to communicate solution concepts and inspire stakeholder engagement.
  • Provide leadership, mentoring, and guidance to project teams and junior staff.
  • Champion a culture of innovation, continuous learning, and exploration of AI's potential.
  • Thrive in a fast-paced environment with shifting priorities.
  • Ensure QA/QC process adherence and compliance with company policies, quality standards, and safety requirements.
  • Perform other duties as assigned.

Preferred Skills & Experiences
  • 5 years of experience in analytics, AI/ML, or utility operations with a strong focus on solution development and strategy. Proficiency with Python and support data and analytics libraries.
  • Strong familiarity with the electric utility industry, its data domains (AMI, SCADA, GIS, asset/customer systems), and its operational challenges.
  • Working knowledge of AI and analytics methods (machine learning, predictive modeling, data visualization) with the ability to collaborate effectively with technical experts.
  • Passion for continual learning and applying new AI/analytics advancements to solve real-world industry challenges.
  • Strong communication skills with the ability to engage both executives and technical teams.
  • Consulting or client-facing experience strongly preferred.

Qualifications
  • Bachelor's degree in data Analytics, Computer Science, Information Systems, Statistics, Engineering, Math, or related field from an accredited program and 7 years of related experience
  • Master's degree or PhD preferred
  • 5 years of experience in analytics, AI/ML, or utility operations with a strong focus on solution development and strategy preferred
  • Proficiency with Python and support data and analytics libraries preferred
  • Strong familiarity with the electric utility industry, its data domains (AMI, SCADA, GIS, asset/customer systems), and its operational challenges preferred
  • Working knowledge of AI and analytics methods (machine learning, predictive modeling, data visualization) with the ability to collaborate effectively with technical experts preferred
  • Passion for continual learning and applying new AI/analytics advancements to solve real-world industry challenges preferred
  • Strong communication skills with the ability to engage both executives and technical teams preferred.
  • Consulting or client-facing experience strongly preferred.
  • Demonstrated application of analytics processing engines such as Spark, Hadoop, Flink, Storm
  • Experience with commercial analytics tooling such as SAS, SPSS.
  • Experience with Business Intelligence tools such as ThoughtSpot, Tableau or Power BI.
  • Familiarity with the analytics stack from at least one cloud provider.
  • Demonstrated application of data wrangling and supporting tools.
  • Demonstrated application of statistical analytics and machine learning. Experience with a variety of machine learning algorithms and an understanding of the application of other algorithms.
  • Experience with the domain of problems of an Electric Utility strongly preferred.
  • Experience in utility analytics in a technology vendor or utility environment.
  • Proficient in SQL, Python, Python data science libraries. Experience with R or other languages.
  • An understanding of geospatial analytics is preferred.
  • Ability to work with team members and clients to assess needs, provide assistance, and resolve problems.
  • Strong problem-solving and analytical skills.
  • Desire to understand why things work the way they do.
  • Ability to present and explain technical concepts to business audiences.
  • All other duties as assigned.

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
EEO/Disabled/Veterans
Job Consulting
Primary Location US-MO-Kansas City
Schedule: Full-time
Travel: Yes, 15 % of the Time
About 1898 & Co. 1898 & Co. is a business, technology and security solutions consultancy where experience and foresight come together to unlock lasting advancements. We innovate today to fuel our clients' future growth, catalyzing insights that drive smarter decisions, improve performance and maximize value. As part of Burns & McDonnell, we draw on more than 120 years of deep and broad experience in complex industries as we envision and enable the future for our clients.
Req ID: 253927
Job Hire Type Experienced #LI-EH #E98 N/A

What Burns & McDonnell employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Burns & McDonnell

Sourced by ZipRecruiter

Burns & McDonnell assists clients of all sizes and industries by providing extensive physical services ranging from assessments, integrated security solutions, and large security architecture designs. Services we typically provide include security and safety system design, threat, risk, and vulnerability assessments, security surveys, security master planning, compliance to federal security programs, independent validation and verification of integrated security system operations, management of installation and maintenance, and staff augmentation to develop and implement facility management and protection processes.

Industry

Civil engineering construction

Company size

10,000+ Employees

Headquarters location

Kansas City, MO, US

Year founded

1898

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