Demo

Senior Data Scientist

Safety National
St. Louis, MO Full Time
POSTED ON 12/21/2024
AVAILABLE BEFORE 2/20/2025
Description

Stop searching. Start growing.

It's time to build a meaningful career where you can grow, your ideas can thrive, and you are recognized and valued. Join a team committed to your excellence, and apply to Safety National today! Ready for a rewarding career? Follow this link to view all of our available careers and apply: https://www.safetynational.com/careers-page/

This opportunity is in the Data Analytics Department.

Curious about data science and analytics? Our Data Analytics department seeks those passionate about using data to tell business stories, inform decision making and solve business problems. If you are a curious professional with education or experience in data science, statistics, and machine learning, this is an excellent opportunity to be part of a highly impactful, innovative and diverse team.

Role Description:

In the role of Senior Data Scientist (internally known as Senior Data Scientist), you will be part of the high-performing Data Analytics team. You will collaborate closely with cross-functional teams, including claim managers, underwriters, actuaries, and data engineers, to solve complex business problems using advanced analytics and machine learning. Your expertise in predictive modeling and statistical analysis will help drive Safety National's data-driven initiatives forward.

Your day-to-day responsibilities as a Senior Data Scientist will include:

  • Developing and deploying machine learning models to address complex insurance and business challenges end-to-end.
  • Conducting in-depth analysis of large and diverse datasets, including claims, policies, and business development data.
  • Applying data preprocessing techniques to ensure data quality, consistency, and reliability.
  • Validating and evaluating machine learning models for accuracy, reliability, and compliance with industry standards.
  • Creating visualizations, reports, and dashboards to effectively communicate complex insights to technical and non-technical stakeholders.
  • Collaborating with business stakeholders to understand requirements and deliver data-driven solutions.
  • Staying current with emerging data science trends and technologies to drive innovation and efficiency.

The ideal candidate is someone with a strong analytical mindset, technical expertise, and excellent communication skills. Key characteristics we are seeking include:

  • A passion for solving complex business challenges using data.
  • The ability to work collaboratively across departments.
  • Exceptional skills in explaining technical concepts to diverse audiences.

Qualifications:

Education:

  • Master's degree in a quantitative field such as Statistics, Mathematics, Actuarial Science, Computer Science, or related disciplines.

Required Qualifications:

  • 6 years of experience as a Data Scientist with expertise in machine learning and predictive modeling.
  • Proficiency in programming languages such as Python or R and relevant libraries (e.g., Scikit-Learn, XGBoost, TensorFlow, PyTorch).
  • Strong knowledge of statistical modeling, machine learning techniques, and risk assessment in an insurance context.
  • Advanced SQL skills for data retrieval and transformation, with experience working in relational databases and cloud-based platforms (e.g., Microsoft SQL Server, Snowflake).
  • Excellent communication skills to present complex data concepts to technical and non-technical stakeholders.

Preferred Qualifications:

  • Experience with generative AI solutions and their integration into business workflows.
  • Familiarity with insurance-specific data sources, regulatory requirements, and industry standards.
  • Knowledge of database design principles for creating scalable data solutions.

Protect the confidentiality, integrity, and availability of information and technology assets against unauthorized disclosure, destruction, and/or alteration, in accordance with Safety National policies, standards, and procedures.

Safety National is a leading specialty insurance and reinsurance provider. Our culture is built upon relationships, which allow us to demonstrate our expertise gained through our rich 80-year history. As a wholly-owned subsidiary of Tokio Marine, Inc., we appreciate the benefits and support provided by our affiliation with one of the top 10 insurance companies in the world.

Total Rewards That Put Employees First

In our vision to be First with Co-Workers, compensation that includes base salary, holiday bonus, and incentive awards is only a small portion of the comprehensive total rewards package we offer. Our total rewards approach recognizes and rewards the time, talents, efforts, and results of our valued employees. Highlights of our exceptional benefits include generous health, dental, and vision coverage, health savings accounts, a 401(k) retirement savings match and an annual profit-sharing contribution. We proudly offer family-forming benefits for adoption, fertility, and surrogacy, generous paid time off and paid holidays, paid parental and caregiver leave, a hybrid work environment, and company-paid life insurance and disability. To support employees in their career journeys, we provide professional growth and development opportunities in addition to employee recognition and well-being programs. Apply today to learn more.

Safety National is committed to fair, transparent pay and we strive to provide competitive, market-based compensation. The target salary range for this position is $113K to $183K. Compensation for the successful candidate will consider the candidate's particular combination of knowledge, skills, competencies, experience, and geographic location.

#LI-Hybrid






Safety National Casualty Corporation is an Equal Opportunity Employer. It is the policy of Safety National to prohibit discrimination and harassment of any type and to afford equal employment opportunities to employees and applicants without regard to race, color, religion, age, sex, sexual orientation, pregnancy, national origin, disability, military status, veteran status, ancestry, citizenship, gender identity, genetic information or any other personal characteristic protected by applicable law. None of the questions in our application are intended to elicit information regarding any protected characteristics, nor imply any limitation, illegal preferences or discrimination based upon non-job related information or protected characteristics.

 

Salary : $113,000 - $183,000

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