1

From Home Predictive Modeling Jobs in Missouri (NOW HIRING)

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

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

Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive ... If you will be working at home occasionally or permanently, the internet connection must be ...

Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive ... If you will be working at home occasionally or permanently, the internet connection must be ...

Technical Product Manager - Applied AI

Saint Louis, MO · On-site +1

$162K - $187K/yr

... predictive modeling, and agent-based automation. * Build AI-driven workflows that simplify multi ... If you will be working at home occasionally or permanently, the internet connection must be ...

Showing results 41-60

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:

Data Scientist

PB consulting

Oakville, MO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities
  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.