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Senior Data Science Insurance Jobs in Kansas (NOW HIRING)

Velocity Staff

Senior Data Engineer

Overland Park, KS

$104K - $142K/yr

... a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize ... Bachelor's degree in computer science, data science or related technical field, or equivalent ...

Velocity Staff

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

... a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize ... Bachelor's degree in computer science, data science or related technical field, or equivalent ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. * 6+ ...

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty ... Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. * 6+ ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. * 6+ ...

CBRE

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

As a CBRE Data Sr. Analyst, you will perform a variety of analyses to ensure that recommendations ... This job is part of the Data Science & Analytics job function. They are responsible for reviewing ...

Garmin International, Inc.

Senior Data Engineer

Olathe, KS · On-site

$100K - $136K/yr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the ... Bachelor's Degree in Computer Science, Information Technology, Management Information Systems ...

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

Purple Wave, Inc.

Senior Data Platform Engineer

Manhattan, KS · On-site

$104K - $137K/yr

Bachelor's degree in Computer Science, Engineering, or a related field, OR 6+ years of professional ... Company-paid Life Insurance with options for supplemental coverage. * Fully paid Short-Term ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

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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.

Senior Data Science Insurance jobs near you

Senior Data Engineer

Velocity Staff

Overland Park, KS

$104K - $142K/yr

Full-time

Re-posted 25 days ago

Job description

Velocity Staff, Inc. is working with our client located in the Overland Park, KS area to identify a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize their expertise in data warehousing, data pipeline creation/support and analytical reporting and be responsible for gathering and analyzing data from several internal and external sources, designing a cloud-focused data platform for analytics and business intelligence, reliably providing data to our analysts. This role requires significant understanding of data mining and analytical techniques. An ideal candidate will have strong technical capabilities, business acumen, and the ability to work effectively with cross-functional teams.


  • Work with Data architects to understand current data models, to build pipelines for data ingestion and transformation.
  • Design, build, and maintain a framework for pipeline observation and monitoring, focusing on reliability and performance of jobs.
  • Surface data integration errors to the proper teams, ensuring timely processing of new data.
  • Provide technical consultation for other team members on best practices for automation, monitoring, and deployments. 
  • Provide technical consultation for the team with “infrastructure as code” best practices: building deployment processes utilizing technologies such as Terraform or AWS Cloud Formation.

  • Bachelor’s degree in computer science, data science or related technical field, or equivalent practical experience
  • Proven experience with relational and NoSQL databases (e.g. Postgres, Redshift, MongoDB, Elasticsearch)
  • Experience building and maintaining AWS based data pipelines: Technologies currently utilized include AWS Lambda, Docker / ECS, MSK 
  • Mid/Senior level development utilizing Python: (Pandas/Numpy, Boto3, SimpleSalesforce)
  • Experience with version control (git) and peer code reviews
  • Enthusiasm for working directly with customer teams (Business units and internal IT)
  • Preferred but not required qualifications include: 
    • Experience with data processing and analytics using AWS Glue or Apache Spark
    • Hands-on experience building data-lake style infrastructures using streaming data set technologies (particularly with Apache Kafka)
    • Experience data processing using Parquet and Avro
    • Experience developing, maintaining, and deploying Python packages
    • Experience with Kafka and the Kafka Connect ecosystem.
    • Familiarity with data visualization techniques using tools such as Grafana, PowerBI, AWS Quick Sight, and Excel.   

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