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Senior Data Science Insurance Jobs in West Virginia

Insomniac Design

Senior Data Engineer

Charleston, WV

$115K - $150K/yr

As a Senior Data Engineer , you will architect, build, and optimize scalable data platforms that ... life insurance as well as 401k contribution. Salary range: $115,000 - $150,000. Applicant ...

Coalition, Inc.

WV

$200K/yr

Work with ML engineers, data scientists, and product managers to translate model requirements into ... Experience in insurance, cybersecurity, or fintech is a plus but not required Compensation Our ...

GDH

Data Governance Specialist

Kearneysville, WV · On-site

$63 - $68/hr

Role Summary A senior data scientist is responsible for leading the development and integration of advanced artificial intelligence and machine learning models within enterprise data platforms. This ...

GDIT

Sr. Healthcare Data Analyst (Medicaid)

WV · Remote

$110K - $149K/yr

Data Science and Data Engineering Job Qualifications: Skills: Big Data, Data Analytics, Statistical ... insurance are provided or available. We regularly review our Total Rewards package to ensure our ...

GDIT

Sr. Dashboard Developer (Medicare/Medicaid)

WV · Remote

$85K - $115K/yr

Data Science and Data Engineering Job Qualifications: Skills: Building Dashboards, Data Analysis ... insurance are provided or available. We regularly review our Total Rewards package to ensure our ...

CFGI

Data & Analytics - Consultant

Charleston, WV

Consultants work closely with Managers, Senior Managers, Directors, clients, and cross-functional ... Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, Statistics, Data ...

Experian

$117K - $154K/yr

... insurance, and many more. Experian invests in people and new advanced technologies to unlock the ... You will work with data science to conduct R&D, and engineering teams to build and deliver products.

Coalition, Inc.

Data Engineer, Security

WV · On-site +1

$163K/yr

You will be the go-to partner for Stakeholders, Research team and Data Science team requiring ... Prior experience in Cybersecurity or Cyber Insurance . * AI/ML Interest: Experience building data ...

GDIT

WV · On-site

Data Science and Data Engineering Job Qualifications: Skills: Artificial Intelligence (AI), End-to ... No The AI/ML Delivery Engineer is a hands-on senior practitioner who designs, builds, and scales ...

Coalition, Inc.

Senior Software Engineer, Underwriting

WV · On-site +1

$195K/yr

They integrate security, insurance, and proprietary data to apply business rules, statistical ... This role is highly cross-functional, partnering closely with underwriters, data science, and other ...

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All JobsData Science Insurance JobsSenior Data Science Insurance JobsSenior Data Science Insurance Jobs in West Virginia

Senior Data Science Insurance information

What is the difference between Senior Data Science Insurance vs Data Analyst Insurance?

AspectSenior Data Science InsuranceData Analyst Insurance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics teams, cross-functional projects, predictive modelingReporting, data cleaning, basic analysis, dashboards
Employer & Industry UsageInsurance companies, financial services, risk assessmentInsurance firms, brokers, claims departments

Senior Data Science Insurance roles focus on developing predictive models and advanced analytics, requiring higher technical skills and experience. Data Analysts typically handle data reporting and basic analysis. Both roles are vital in insurance but differ in complexity and responsibilities.

What cities in West Virginia are hiring for Senior Data Science Insurance jobs? Cities in West Virginia with the most Senior Data Science Insurance job openings:
Senior Data Science Insurance jobs near you

Senior Data Engineer

Insomniac Design

Charleston, WV

$115K - $150K/yr

Full-time

Re-posted 29 days ago

Job description

Insomniac Design is a global digital agency headquartered in Washington D.C., with offices in London, Bucharest and Chisinau.  We’re an agile, determined and innovative team organized by functional areas of expertise — Creative, Technology, Strategy, and Management. We specialize in human-centered design with deep focus on design thinking and digital transformation. 
 
At Insomniac, we leverage AI to free our teams from routine tasks so they can focus on the aspects of our functions that are most valuable. We thrive on creative problem-solving, collaboration, and innovation. By thoughtfully integrating AI into our workflows, we’re not only improving productivity but also ensuring our people have the tools to do their best work. This empowers us to build smarter solutions and deliver stronger results for our clients.
 
As a Senior Data Engineer, you will architect, build, and optimize scalable data platforms that empower our clients with unified, actionable insights. You will lead the design of robust data pipelines, enforce best practices in data governance and security, and mentor junior engineers. Your expertise will bridge technical execution and strategic vision, ensuring high-performance, secure, and scalable data solutions that drive business impact.
Technical Leadership & Strategy:
  • Architect and implement enterprise-grade data platforms, including data lakes, warehouses, and real-time pipelines.
  • Define and enforce data engineering standards, including ETL/ELT frameworks, data modeling, and quality controls.
  • Lead performance optimization of databases, queries, and pipelines (e.g., partitioning, indexing, cost-efficient cloud solutions).
  • Stay updated with emerging trends, evaluating and integrating new technologies.
Data Architecture & Infrastructure:
  • Design and implement scalable data architecture that ensures high availability, security, and performance.
  • Define best practices for data modeling, storage, retrieval, and governance.
  • Optimize database structures, schemas, indexing, and partitioning for efficient query performance.
  • Implement CI/CD for data pipelines and automate infrastructure using Infrastructure-as-Code (IaC) tools.
Data Pipelines & ETL Development:
  • Architect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation.
  • Automate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt.
  • Monitor, troubleshoot, and optimize data pipeline performance.
Data Governance, Security & Compliance:
  • Implement data governance policies, including metadata management, lineage tracking, and role-based access control (RBAC).
  • Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and enforce security best practices.
  • Develop frameworks for data quality validation, anomaly detection, and integrity checks.
Business & Stakeholder Engagement:
  • Collaborate with stakeholders (clients, PMs) to translate business needs into technical specifications and scalable architectures.
  • Develop interactive dashboards and reporting solutions to provide actionable insights.
Innovation & Mentorship:
  • Lead technical discussions, workshops, and knowledge-sharing sessions within the team.
  • Mentor junior engineers, conduct code reviews, and set best practices.
  • Drive automation of data workflows, including CI/CD for pipelines and Infrastructure-as-Code (IaC) solutions.
Technical Skills & Experience:
  • 7+ years of experience in data engineering with a proven track record of building scalable data solutions.
  • Expertise in SQL and relational database management systems (MySQL, PostgreSQL, Oracle).
  • Proficiency in Python (or similar languages) for data processing and automation.
  • Deep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services:AWS (Redshift, Glue, S3)Azure (Synapse, Data Factory)GCP (BigQuery, Dataflow)
  • Hands-on experience with big data tools:Apache Spark, Kafka, Airflow, dbt, Snowflake, Databricks
  • Expertise in data modeling.
  • Strong knowledge of data security, governance, and compliance frameworks.
Leadership & Soft Skills:
  • Proven track record of leading data projects, including migrations, warehousing, and real-time analytics.
  • Ability to lead cross-functional teams and manage client expectations.
  • Strong problem-solving skills for debugging distributed systems and resolving data anomalies.
  • Experience with Agile/Scrum methodologies, including tools like Jira, Git.
  • Excellent communication and stakeholder management skills.
Nice-to-Have (Bonus Skills):
  • Certifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).
  • Experience with ML pipelines (e.g., feature stores, model deployment).
  • Contributions to open-source data projects.
Insomniac Design offers a competitive salary and benefits package including health and life insurance as well as 401k contribution. Salary range: $115,000 - $150,000.
 
Applicant Eligibility: Please note, candidates who are eligible to work in the US without visa sponsorship are eligible to apply. We are not accepting applicants from recruiters or staffing agencies