Data Scientist

Talentify; Omaha (NE); Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Salary range $100k–$140k

401(k) with company match

Vacation & holidays

No sponsorship required

Job summary

Mutual of Omaha is seeking a Data Scientist to transform healthcare claims data into actionable insights. This hands-on role builds AI-powered solutions for fraud detection, operational efficiency, and growth, collaborating with business and technical partners.

You will develop models in Python, SQL, and Snowflake, leverage AWS Bedrock/SageMaker/Lambda, and apply EDA across diverse data sources. Remote work allowed from the United States or Puerto Rico.

Qualifications

• Bachelor's or master's degree in data science or statistics.
• 2+ years of experience in data science, analytics, or related role.
• Strong proficiency in Python and SQL.
• Experience with Snowflake and dbt.
• Experience developing or supporting AI-driven solutions including LLMs and agent-based workflows.

Responsibilities

• Develop analytical solutions to identify unusual claim patterns and improve investigations.
• Build and support models, analytics, and workflows using Python and SQL.
• Perform EDA across diverse data sources to identify trends and opportunities.
• Develop scalable solutions using AWS services (Bedrock, SageMaker, Lambda).
• Design monitoring and evaluation processes for analytics and AI models.
• Research, prototype, and implement agentic AI solutions.
• Collaborate with teammates to share knowledge and promote best practices.

Skills

Python

SQL

EDA

LLM applications

Agent-based workflows

Team collaboration

Education

Bachelor's or Master’s in Data Science or Statistics

Tools

Snowflake

dbt

AWS Bedrock

SageMaker

Lambda

Job description

Mutual of Omaha is seeking a Data Scientist to help transform healthcare claims data into actionable business insights. This role is responsible for developing data-driven and AI-powered solutions that support fraud detection, improve operational efficiency, and drive business growth.

The ideal candidate is a hands-on data scientist with experience working with insurance data and strong technical skills in SQL, Python, Snowflake, and AWS. Success in this role requires excellent communication skills, the ability to collaborate effectively with both business and technical partners, and a team-oriented approach to solving complex problems. The successful candidate will also contribute to a culture of knowledge sharing, continuous learning, and innovation.

WHAT WE CAN OFFER YOU:

• Estimated Salary: $100,000 - $140,000, plus annual bonus opportunity.
• 401(k) plan with a 2% company contribution and 6% company match.
• Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
• Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU'LL DO:

• Develop analytical solutions that help business teams identify unusual claim patterns, prioritize investigations, and improve operational decision-making.
• Build and support models, analytics, and workflows using Python and SQL.
• Work with raw data and perform exploratory data analysis (EDA) across diverse data sources to identify trends, anomalies, and business opportunities.
• Develop scalable solutions using AWS services such as Bedrock, SageMaker, and Lambda.
• Design monitoring and evaluation processes for analytical and AI models.
• Research, prototype, and implement agentic AI solutions.
• Collaborate with teammates to share knowledge and promote best practices.

WHAT YOU’LL BRING:

• Bachelor's or master’s degree in data science or statistics.
• 2+ years of experience in data science, analytics, or a related role.
• Strong proficiency in Python and SQL.
• Experience with Snowflake and working knowledge of dbt.
• Experience developing or supporting AI-driven solutions, including LLM applications, conversational AI, or agent-based workflows.
• Understanding of scalable, production-ready analytics and AI solutions.
• You promote a collaborative culture, value different ideas and opinions, and listen courageously, remaining curious in all that you do.
• Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico.

PREFERRED:

• Experience with healthcare claims, policy, provider, member, or actuarial data.
• Experience with AWS Bedrock Agents and action group integration.
• Knowledge of Sigma and Streamlit in Snowflake.

If you have questions about your application or the hiring process, email our Talent Acquisition area at [e-mail]. Please allow at least one week from time of applying if you are checking on the status.

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