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Data Science International Remote Jobs in Oklahoma

Qualifications * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Qualifications * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Deep knowledge of American government, comparative politics, international relations, political ... data, and constructing evidence-based political arguments. Emphasizes critical analysis of ...

... data, and evaluating sustainability proposals. Emphasizes systems thinking and connects environmental science to public health, urban planning, and international policy. * Curriculum Awareness ...

Advanced degree in Science, Healthcare, or Regulatory/Clinical Affairs. * Professional ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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Data Science International Remote information

What is a data science international remote job?

A Data Science International Remote job involves analyzing and interpreting complex data sets to help organizations make data-driven decisions, while working from a location outside the employer's country. This role typically requires strong skills in statistics, programming, and data visualization, and may involve collaborating with global teams across different time zones. Remote data scientists often use tools like Python, R, and SQL, and must be adept at communicating insights clearly to both technical and non-technical stakeholders. The international aspect adds the opportunity for cross-cultural collaboration and exposure to diverse data challenges.

What are the key skills and qualifications needed to thrive as a data scientist working internationally and remotely?

To excel as a Data Scientist in an international remote role, you need strong expertise in statistics, data analysis, and programming languages such as Python or R, typically backed by a degree in computer science, statistics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and cloud-based platforms like AWS or Google Cloud is essential, and certifications in these areas can be advantageous. Outstanding communication, self-motivation, and cross-cultural collaboration skills help you effectively share insights and work with diverse teams across time zones. These competencies ensure you can independently deliver impactful data solutions while adapting to global team dynamics and remote work challenges.

What are some common challenges faced by data scientists working in an international remote setting?

Data scientists working internationally and remotely often encounter challenges such as collaborating across time zones, which can make real-time communication and meetings difficult. Additionally, remote work may require extra effort to stay aligned with team goals, maintain effective data sharing, and ensure data privacy and compliance with various countries' regulations. Building strong relationships with colleagues may also take more intentional communication and proactive engagement. However, many companies support remote data scientists with robust collaboration tools and flexible work schedules to help mitigate these challenges.

What is the difference between Data Science International Remote vs Data Analyst International Remote?

AspectData Science International RemoteData Analyst International Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, focused on data reporting and visualization tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsBusiness, marketing, finance, and retail sectors

Data Science International Remote involves advanced analytics, machine learning, and programming, while Data Analyst International Remote focuses on data reporting, visualization, and basic analysis. Both roles are remote and in demand across various industries, but Data Science typically requires more technical skills and higher qualifications.

What are popular job titles related to Data Science International Remote jobs in Oklahoma?

For Data Science International Remote jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Data Science International Remote jobs in Oklahoma look for?

The top searched job categories for Data Science International Remote jobs in Oklahoma are:

What cities in Oklahoma are hiring for Data Science International Remote jobs?

Cities in Oklahoma with the most Data Science International Remote job openings:

Principal Data Scientist

Sedgwick

Oklahoma City, OK • On-site, Remote

Full-time

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


Sedgwick rating

7.6

Company rating: 7.6 out of 10

Based on 327 frontline employees who took The Breakroom Quiz

217th of 315 rated insurance


Job description

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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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