Staff Data Scientist

IVANS Insurance Solutions; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

IVANS Insurance Solutions is seeking a Staff Data Scientist to develop advanced AI systems that enhance business value. In this role, you will utilize your expertise to design AI/ML solutions and collaborate with teams to drive innovation. Candidates should have extensive experience in data science and machine learning, along with strong problem-solving and communication skills. With a culture that values diversity and a commitment to inclusion, this is an opportunity to join a leading team in the insurtech space.

Benefits

Medical, Dental, and Vision Coverage

Holiday and Vacation Time

Health & Wellness Days

A Bonus Day for Your Birthday

Qualifications

• 7+ years of experience in data science, ML, or AI engineering roles.
• Proven track record of effectively collaborating with cross-functional teams.
• Experience working in a cloud native environment.

Responsibilities

• Create production-ready AI solutions.
• Lead model research, data analysis, and options analysis.
• Ensure quality and accuracy of AI solutions through thorough testing.

Skills

Python

AI/ML frameworks

Natural Language Processing

Computer Vision

Education

Degree in computer science, math, statistics, data science, engineering, or related field

Job description

Job Description

Amazing Career Moments Happen Here

Transforming the insurance industry is ambitious, we know. That’s why at Applied, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the insurtech game, we’re not just redefining what’s achievable, we’re creating a place where amazing career moments are made possible.

Position Overview

We're seeking a Staff Data Scientist to build enterprise-scale, cloud-native, AI systems that leverage state-of-the-art data science practices. In this role, you will work collaboratively with peers to design and implement AI/ML solutions that will drive business value. You will need a deep understanding of the current AI landscape and experienceleveraging Large Language Models, developing solutions using Gen AI, as well as contributing to in house custom solutions and providing thorough analysis.

What You’ll Do

• Create production ready AI solutions
• Lead model research, data analysis, and options analysis for solution recommendations
• Provide the technical guidance for multiple initiatives and help to identify, prioritize, and address critical needs, challenges, or opportunities
• Contribute to the end-to-end AI processes such as data acquisition, data processing and validation, model training or algorithm design, testing, or deployment
• Provide comprehensive feedback in design reviews, code reviews, and data analysis
• Ensure the quality and accuracy of AI solutions by applying data and AI best practices, conducting thorough testing, and work collaboratively for maintenance of AI services

We’re Excited to Learn More About You

Your experience should include some or all of the following:

• 7+ years of experience in data science / mathematics & stats / ML / AI engineering roles of increasing complexity
• 4+ years of experience using Python and common AI/ML frameworks
• Experience with LLMs and cloud native Gen AI services
• Experience optimizing Natural Language Processing or Computer Vision models for specialized tasks
• Experience developing custom models and contributing to their support lifecycle
• Proven track record of effectively collaborating with cross-functional teams to deliver high-quality AI solutions
• Experience working in a cloud native environment
• Excellent communication skills, including the ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Strong problem-solving skills and ability to think creatively to derive effective solutions to complex challenges
• Demonstrated ability to work independently
• Degree in computer science, math, statistics, data science, engineering, or a related field

We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply!

When You Join Team Applied, You Can Expect:

A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.

We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.

A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:

• Medical, Dental, and Vision Coverage

• Holiday and Vacation Time

• Health & Wellness Days

• A Bonus Day for Your Birthday

Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/

Your Security Matters:Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.

EEO Statement

Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

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