Senior Data Scientist

VERIKAI Verikai Inc.; Oregon (IL); Remote; USD 154,000 - 174,000; Full time

Job summary

Join a leading insurtech company as part of our analytics team, where you'll develop machine learning models and analyze large datasets to drive innovation in the insurance industry. Collaborate with a remote-first team dedicated to integrity and inclusivity, making a significant impact while advancing your skills in a supportive environment.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off

401(k) Plan

Qualifications

• 3-5 years of relevant experience with large datasets.
• Strong understanding of statistical modeling and parameter tuning.

Responsibilities

• Develop advanced machine learning algorithms for modeling.
• Refine machine learning models for diverse customer scenarios.
• Present findings to clients as a technical expert.

Skills

Statistical Modeling

Analytical Thinking

Communication

Problem Solving

Education

Bachelor’s degree in Statistics

Bachelor’s degree in Mathematics

Bachelor’s degree in Computer Science

Tools

Python

R

PySpark

Excel

Job description

Verikai stands apart from traditional insurtech companies. As a remote-first team, we're committed to cultivating top talent. Here, you'll thrive in a collaborative environment that values integrity, teamwork, and inclusivity. Diverse perspectives are appreciated, and a 'dare to fail' spirit drives groundbreaking innovation.

This dedication to talent development is central to our mission. We're revolutionizing the insurance industry through cutting-edge technology and seek passionate individuals to join us.

Verikai is a leading provider of predictive analytics and AI-powered solutions for the insurance industry. Our platform empowers insurers with advanced data-driven risk assessment insights, streamlining underwriting and optimizing outcomes. We are committed to technological advancement, helping underwriters make better risk decisions.

We are a growing, well-funded company with a great product and innovative ideas. If you want to make an immediate impact on the insurance industry while working in a dynamic, supportive environment, you’re in the right place.

As part of our analytics team, you will work directly with real customer issues and data generated in real time. Your role involves analyzing large-scale datasets, with your insights leveraged by customers to create value. You will have opportunities to develop your skills with guidance from senior team members, using various data tools to analyze complex datasets. You will also manipulate our machine learning platform to improve and build insightful models, gaining experience in operational model development. Our culture encourages collaboration across business functions and emphasizes building our analytics infrastructure.

Responsibilities

1. Develop advanced machine learning algorithms to enhance our proprietary modeling platform and deliver greater value to customers.
2. Refine and tailor machine learning models to fit diverse customer scenarios and align with our strategic vision.
3. Identify and incorporate new data sources, such as the US Census Bureau, to expand our data assets and validate their usefulness.
4. Use tools like PySpark, R, Python, or Excel to clean and prepare data for analysis and modeling.
5. Perform descriptive and statistical analyses to uncover patterns that inform customer decisions, ensuring insights meet their needs creatively.
6. Assist in preparing presentations and materials to demonstrate insights and educate customers on our methodologies.
7. Present findings and models to clients as a technical expert, industry insider, and advocate for our solutions.

Skills and Qualifications

1. Bachelor’s degree or higher in Statistics, Mathematics, or Computer Science, with 3-5 years of relevant experience.
2. Experience working with large datasets and creating models to solve customer problems; familiarity with insurance data modeling is a plus.
3. Deep understanding of statistical modeling, including parameter tuning and model validation.
4. Proficiency in Python or R, with familiarity with PySpark and Excel.
5. Strong analytical thinking, independence, and logical reasoning skills.
6. Creative, open-minded, and positive attitude when facing challenges.
7. Ability to conduct independent research and pursue meaningful progress.
8. Attention to detail and a strong sense of ownership.
9. Effective communication skills, capable of explaining complex concepts to technical and non-technical audiences.

Security, Confidentiality, and Availability

1. Adhere to all security and confidentiality policies, including proprietary information, acceptable use, access control, business continuity, change management, code of conduct, asset management, data policies, encryption, and information security policies.
2. Make conscientious decisions about information sharing, respecting security and confidentiality standards.
3. Be available during regular business hours and respond promptly to urgent requests outside those hours.

Company: VERIKAI Verikai Inc.

Salary Range: $154,000.00 - $174,000.00

Benefits:

Our compensation package is role, level, and location-dependent, including a competitive salary and total rewards such as medical, dental, vision, paid time off, and a 401(k) plan. Specific details may vary by location and are discussed during hiring.