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Data Scientist Forecasting Remote Jobs in Oklahoma

Sedgwick

Principal Data Scientist

Oklahoma City, OK · On-site +1

Telecommuter TN Telecommuter AR Telecommuter ID Telecommuter NE Telecommuter MO Telecommuter IN Telecommuter TX Telecommuter KY Telecommuter MS Telecommuter SC Telecommuter WV Telecommuter NM

Sedgwick

Principal Data Scientist

Oklahoma City, OK · On-site +1

Telecommuter TN Telecommuter AR Telecommuter ID Telecommuter NE Telecommuter MO Telecommuter IN Telecommuter TX Telecommuter KY Telecommuter MS Telecommuter SC Telecommuter WV Telecommuter NM

Novoco

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Job Description Dare to bring your unique

Danaher

Principal Clinical Scientist

Tulsa, OK · On-site +1

At Danaher Diagnostics, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable,

Strayos

$13 - $17.50/hr

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist

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Data Scientist Forecasting Remote information

What does a data scientist specializing in forecasting do when working remotely?

A Data Scientist in Forecasting working remotely uses statistical models, machine learning algorithms, and large datasets to predict future trends or outcomes for a business. Their tasks often include gathering and cleaning data, building predictive models, evaluating their accuracy, and communicating findings to stakeholders. Remote data scientists collaborate with teams through virtual meetings and cloud-based tools, ensuring their forecasts support business decisions. The remote aspect offers flexibility but requires strong communication and self-management skills.

How does a remote data scientist specializing in forecasting typically collaborate with cross-functional teams?

Remote Data Scientists in forecasting roles regularly collaborate with product managers, engineers, and business analysts through virtual meetings, shared dashboards, and project management tools. They are often responsible for presenting forecast results, discussing model assumptions, and incorporating stakeholder feedback to refine predictions. Effective communication and documentation are crucial, as team members may operate across different time zones. This collaborative environment helps ensure that forecasting models align with business goals and can be effectively integrated into decision-making processes.

What are the key skills and qualifications needed to thrive as a data scientist specializing in forecasting in a remote role?

To thrive as a Data Scientist specializing in Forecasting, you need a strong background in statistics, mathematics, and machine learning, usually supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with forecasting libraries (like Prophet or ARIMA), and familiarity with cloud-based data platforms are typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and translating complex findings into actionable insights. These skills and qualities are vital for building accurate predictive models and ensuring effective decision-making in distributed teams.

What is the difference between Data Scientist Forecasting Remote vs Data Analyst Forecasting Remote?

AspectData Scientist Forecasting RemoteData Analyst Forecasting Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; typically less emphasis on advanced modeling
Work EnvironmentCollaborative teams, often in tech or finance industries; remote work commonBusiness units, marketing, or finance teams; remote options widely available
Employer & Industry UsageTech companies, finance, e-commerce; focus on predictive modeling and forecastingRetail, marketing, finance; focus on reporting and trend analysis

Data Scientist Forecasting Remote roles focus on advanced predictive modeling and machine learning, requiring higher technical skills and credentials. Data Analysts Forecasting Remote positions emphasize data reporting and trend analysis with less emphasis on complex modeling. Both roles are often remote and serve similar industries, but differ in technical depth and responsibilities.

What are popular job titles related to Data Scientist Forecasting Remote jobs in Oklahoma?

For Data Scientist Forecasting Remote jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Data Scientist Forecasting Remote jobs in Oklahoma look for?

The top searched job categories for Data Scientist Forecasting Remote jobs in Oklahoma are:

What cities in Oklahoma are hiring for Data Scientist Forecasting Remote jobs?

Cities in Oklahoma with the most Data Scientist Forecasting Remote job openings:

Data Scientist Forecasting Remote jobs near you
Infographic showing various Data Scientist Forecasting Remote job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Principal Data Scientist

Oklahoma City, OK • On-site, Remote

Sedgwick
See more jobs at Sedgwickexternal

Full-time

Posted 13 days ago

Sedgwick rating

7.6

Company rating: 7.6 out of 10

Based on 329 frontline employees who took The Breakroom Quiz

Job description

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R71412

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

Principal Data Scientist

Job Responsibilities

  • Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management.
  • Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.
  • Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.
  • Architect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling.
  • Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.
  • Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets.
  • Establish best practices for model development, experimentation, validation, and reproducibility.
  • Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies.
  • Build and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact.
  • Monitor deployed models for drift, degradation, and changing data distributions, and recommend recalibration strategies.
  • Provide technical guidance to data scientists and analysts across the organization.
  • Mentor junior team members on statistical methods, machine learning techniques, and analytical rigor.
  • Translate complex analytical findings into clear, actionable insights for business leaders and operational teams.
  • Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.
  • Evaluate external data sources and third-party analytical solutions that enhance predictive capabilities.
  • Ensure analytical methodologies align with enterprise governance standards and regulatory expectations.
  • Contribute to Sedgwick's broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.
  • Lead research and innovation initiatives that advance Sedgwick's predictive analytics capabilities.

Qualifications

  • Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline.
  • 8–12+ years of experience in data science, statistical modeling, or advanced analytics roles.
  • Deep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies.
  • Strong programming skills in Python, R, or similar analytical languages.
  • Extensive experience working with large, complex datasets in enterprise environments.
  • Proven experience designing and implementing end-to-end modeling pipelines.
  • Strong understanding of model validation, feature engineering, and performance evaluation techniques.
  • Experience collaborating with engineering teams to deploy models into production systems.
  • Familiarity with distributed data processing tools and modern data platforms preferred.
  • Experience in insurance, claims management, healthcare, or financial services analytics preferred.
  • Ability to communicate advanced analytical concepts to both technical and non-technical stakeholders.
  • Demonstrated ability to lead complex analytical initiatives that drive measurable business value.
  • Strong mentoring and technical leadership capabilities.

#LI-TS1 #remote

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see sedgwick.com

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