Data Scientist (Hybrid)

Posted 3 Days Ago
Edmeston, NY, USA
Hybrid
86K-144K Annually
Mid level
Insurance
The Role
Develop, deploy, and maintain predictive models and perform advanced analysis to generate actionable insights. Manage model lifecycle (validation, monitoring, retraining), collaborate with engineers and business partners, design experiments, document processes, and mentor junior data scientists while promoting analytical best practices.
Summary Generated by Built In

The Data Scientist independently applies advanced analytics and machine learning techniques to solve complex business problems and support organizational decision-making. This role is responsible for developing and maintaining predictive models, analyzing complex datasets, and delivering actionable insights aligned with business objectives. The Data Scientist collaborates with cross-functional stakeholders to support analytical initiatives and recommend data-driven approaches to business challenges. This position may provide technical guidance to Associate Data Scientists and supports analytical best practices within the department.

Duties & Responsibilities:

  • Design, develop, test, deploy, and maintain predictive and analytical models.
  • Perform advanced exploratory analysis, feature engineering, model evaluation, and statistical analysis to support analytical initiatives.
  • Manage model lifecycle activities including validation, monitoring, documentation, and periodic retraining to ensure model effectiveness and reliability.
  • Collaborate with data engineers and business partners to support scalable analytical workflows and processes.
  • Design and evaluate experiments (e.g., A/B tests) to measure model and business performance.
  • Analyze complex datasets to develop actionable insights and recommendations that support operational and business decisions.
  • Support the identification of analytical opportunities and contribute to data-driven solutions for business challenges.
  • Document analytical processes, model assumptions, and results to support reproducibility and governance standards.
  • Contribute to knowledge sharing and provide guidance to Associate Data Scientists as appropriate.
  • Stay informed on emerging data science tools, techniques, and industry best practices.

Requirements: 

  • Bachelor’s degree in applied mathematics, data science/analytics, computer science, statistics, or related field, and 4 years of experience in insurance, analytics or data science.

Qualifications/Skills:

  • Proficiency in SQL, Python or R (Python preferred), and machine learning techniques.
  • Strong analytical, problem-solving, and organizational skills.
  • Ability to work independently and collaboratively within cross-functional teams.
  • Ability to explain technical concepts and analytical findings to non-technical audiences.
  • Understanding of statistical analysis, model evaluation, and responsible modeling practices.
  • Experience with data visualization tools such as Tableau preferred.
  • Familiarity with software engineering, cloud platforms, or database systems is a plus.

Market Range: 14 / Exempt / 40 hours per week / Hybrid - 2 days in office

Salary: $86,136 - $143,560

Accepting applications through: 9/3/26

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Skills Required

  • Bachelor's degree in applied mathematics, data science/analytics, computer science, statistics, or related field
  • 4 years of experience in insurance, analytics, or data science
  • Proficiency in SQL
  • Proficiency in Python or R (Python preferred)
  • Knowledge of machine learning techniques and model evaluation
  • Strong analytical, problem-solving, and organizational skills
  • Ability to explain technical concepts to non-technical audiences
  • Understanding of statistical analysis and responsible modeling practices
  • Experience with data visualization tools such as Tableau
  • Familiarity with software engineering, cloud platforms, or database systems
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The Company
HQ: Edmeston, New York
434 Employees
Year Founded: 1899

What We Do

NYCM Insurance is a property and casualty insurance carrier that has been providing coverage to residents and businesses in New York since 1899. With a team of over 975 employees, and a network of over 1,400 independent agents, NYCM is dedicated to providing superior service and a quality customer experience. Our story began in Edmeston, NY – a tiny rural town known for its agricultural community – when one farmer lost everything in a fire. Realizing that the town needed to be better prepared for the future, 27 businessmen and residents came together to pool money and protect one another from fires and lightning, officially establishing the New York Central Mutual Fire Insurance Company under founder VanNess D. Robinson in 1899. We are a family founded and run company and believe in staying true to our small-town roots. Over 120 years later, we’re still operating in our original town of Edmeston, NY and have expanded to include three additional offices in Sherburne, Orchard Park and Canajoharie, further investing ourselves in New York State and our local communities. We are also highly invested in our 900+ employees. We know that our best work comes from an inspired internal culture and our drive to succeed as a team. Between our employee base and a network of over 1,200 independent agents, NYCM Insurance is proud to service over 525,000 insureds. Our insurance lines include Home, Auto, Umbrella, Commercial and more. NYCM Insurance is proud to work with various partners to offer additional types of coverage for many areas of your life including special events, motorcycles, off-road vehicles, bicycles, yachts, collector cars and more. These partnerships help us ensure that you and yours are always protected no matter what life throws at you. At the end of the day, our reason for doing business is the same as it was 120 years ago. We believe in providing genuine care; so that we can all have hope for a better tomorrow and the courage to persevere.

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