Senior Data Scientist

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

Job summary

Une entreprise innovante dans le domaine de l'insurtech recherche un Analyste de données pour rejoindre son équipe d'analytique. Vous serez responsable de l'analyse de données clients, du développement de modèles d'apprentissage automatique, et du soutien à la prise de décisions basées sur des analyses approfondies. En tant que membre d'une équipe dynamique, vous évoluerez dans un environnement de travail collaboratif, propice à l'innovation et à la diversité.

Benefits

Medical, dental, vision insurance

Paid time off

401(k) plan

Qualifications

• Bac+4 minimum en Statistiques, Mathématiques ou Informatique, avec 3 à 5 ans d'expérience.
• Compétences en modélisation statistique et connaissances solides en Python/R requises.
• Capacité à élaborer des solutions basées sur des ensembles de données volumineux.

Responsibilities

• Développer des algorithmes d'apprentissage automatique pour améliorer la plateforme de modélisation.
• Analyser de grands ensembles de données en vue d'informer les décisions client.
• Préparer et présenter des résultats aux clients en tant qu'expert technique.

Skills

Statistical modeling

Python

R

Data analysis

Critical thinking

Attention to detail

Communication skills

Education

Bachelor's degree in Statistics, Mathematics, or Computer Science

Tools

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 welcomed, and a "dare to fail" spirit fuels innovation.

This commitment to talent development is central to our mission. We're revolutionizing the insurance industry through cutting-edge technology and 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 data-driven risk assessment insights, streamlining underwriting and optimizing outcomes. We are dedicated 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 impact the insurance industry while working in a dynamic, supportive environment, you’ve come to the right place.

As part of the analytics team, you will work directly with real customer data and issues. Your role involves analyzing large datasets, developing machine learning models, and creating value for clients. You will learn to use various data tools and improve our machine learning platform, building operational models. Our culture encourages collaboration across business functions and emphasizes building our analytics processes and infrastructure.

Responsibilities

• Develop advanced machine learning algorithms to enhance our proprietary modeling platform and deliver greater value to customers.
• Refine and adapt our machine learning models to fit diverse customer scenarios and our strategic goals.
• Identify and validate new data sources, such as the US Census Bureau, to expand our data assets.
• Clean and prepare customer data using tools like PySpark, R, Python, or Excel for analysis and modeling.
• Perform descriptive and statistical analyses to uncover patterns that inform customer decisions, ensuring insights meet client needs.
• Prepare presentations and materials to demonstrate insights and educate clients on our methodologies.
• Present findings and models to clients, acting as a technical expert and industry representative.

Skills and Qualifications

• Bachelor’s degree or higher in Statistics, Mathematics, or Computer Science, with 3-5 years of relevant experience.
• Experience working with large datasets and developing models for customer solutions; insurance data modeling is a plus.
• Strong knowledge of statistical modeling and parameter tuning.
• Proficiency in Python or R; familiarity with PySpark and Excel.
• Critical thinking, independence, and scenario analysis skills.
• Creative, open-minded, and positive attitude towards challenges.
• Ability to conduct independent research and pursue progress diligently.
• Attention to detail and a sense of ownership.
• Effective communication skills for technical and non-technical 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 regarding information sharing, respecting security policies.
• Be available during local business hours and respond promptly to urgent requests outside those hours.

Company : VERIKAI Verikai Inc.

Salary Range :

$154,000 - $174,000

Benefits :

Our compensation package is competitive and considers skills, education, experience, and organizational needs. Benefits include medical, dental, vision, paid time off, and 401(k). Specifics may vary by location and role, and your recruiter can provide more details during hiring.