Senior Data Scientist

VERIKAI Verikai Inc.; Colorado; Remote; USD 154,000 - 174,000; Full time

Job summary

Join a forward-thinking company revolutionizing the insurance industry through cutting-edge technology. As part of a remote-first team, you'll develop advanced machine learning algorithms and work with real-time data to enhance our proprietary modeling platform. This role offers the chance to make a significant impact while collaborating with a diverse team that values creativity and innovation. You'll refine models, identify new data sources, and present findings to clients, all while enjoying a supportive work environment that encourages growth and excellence.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off

401(k) Plan

Qualifications

• 3-5 years of experience with large datasets and model development.
• Deep understanding of statistical modeling and parameter tuning.

Responsibilities

• Develop advanced machine learning algorithms for our modeling platform.
• Analyze large datasets to derive insights that create customer value.

Skills

Python

R

PySpark

Statistical Modeling

Analytical Thinking

Data Analysis

Education

Bachelor’s degree in Statistics

Bachelor’s degree in Mathematics

Bachelor’s degree in Computer Science

Tools

Excel

Machine Learning Platforms

Job description

Verikai stands apart from traditional insurtech companies. As a remote-first team, we're committed to cultivating top talent in a collaborative environment that celebrates integrity, teamwork, and inclusivity. Diverse perspectives are valued, and a "dare to fail" spirit fuels groundbreaking innovation.

This dedication to fostering talent is central to our mission. We're revolutionizing the insurance industry through cutting-edge technology and are seeking 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.

As a growing, well-funded company with a strong product and innovative ideas, we offer an environment where you can make an immediate impact on the insurance industry while working in a fun, fast-paced, and supportive setting.

In the analytics team, you will work with real customer issues and data generated in real-time. Your role involves analyzing large datasets, with your insights directly creating value for customers. You will have opportunities to learn and use various data tools, manipulate our machine learning platform, and improve it to build operational models. Our culture encourages close collaboration across all business aspects, allowing you to excel in building our analytics processes and infrastructure.

Responsibilities

1. Develop advanced machine learning algorithms to enhance our proprietary modeling platform, extracting greater value from data for our customers.
2. Refine and tailor our machine learning models to fit diverse customer scenarios and company visions.
3. Identify and validate new data sources, such as the US Census Bureau, to expand our core data assets.
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 identify patterns that inform customer decisions, ensuring insights meet client needs creatively.
6. Prepare presentations and materials to demonstrate insights' value and educate customers on our methods.
7. Present findings and models to customers as a technical expert and industry representative.

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 developing models to solve customer problems; insurance data modeling experience is a plus.
3. Deep understanding of statistical modeling, including parameter tuning and model evaluation.
4. Proficiency in Python or R; familiarity with PySpark and Excel.
5. Strong analytical thinking, independence, and scenario analysis skills.
6. Creative, open-minded, and positive attitude towards challenges.
7. Ability to conduct independent research and pursue progress beyond trivial solutions.
8. Attention to detail and a sense of ownership.
9. Effective communication skills to explain complex concepts to diverse audiences.

Security, Confidentiality, and Availability

• Adhere to all security and confidentiality policies, including proprietary information, acceptable use, access control, and data management policies.
• Make conscientious decisions about information sharing, considering security policies.
• 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 considers skills, education, experience, and organizational needs. It includes a competitive total rewards package with medical, dental, vision, paid time off, and 401(k). Specifics may vary by location, and recruiters can provide more details during hiring.