Senior Data Scientist

Munich RE; Hartford (CT); On-site; USD 120,000 - 190,000; Full time

Job summary

The Hartford Steam Boiler, a Munich Re subsidiary, is seeking a senior data scientist to work independently on diverse data science projects. You will mentor junior scientists and assign clear tasks while balancing multiple projects and deadlines.

You will frequently interface with other divisions to understand and align with business strategies and goals. Requires a strong foundation in statistics and ML, hands-on Python/R/SQL, and experience with big-data on Linux.

Qualifications

• Master's degree required in a quantitative field.
• PhD in related field preferred.
• 4+ years' experience in predictive analytics or 6+ years in other industries.
• Experience with feature engineering on structured and unstructured data.
• Experience with Git or similar version control.
• Experience with big-data tech on Linux.
• Experience with deep learning frameworks.

Responsibilities

• Lead data science projects independently across scale.
• Mentor junior data scientists and assign project tasks.
• Manage a portfolio of projects and meet client expectations.
• Interface with multiple divisions to align with business goals.

Skills

Python

R

SQL

Scala

Statistics

Machine learning

Production code

Git

Big-data

Cloud computing

Education

Master's degree in Statistics/CS/Engineering/Math

PhD in related field (preferred)

Tools

TensorFlow

Keras

PyTorch

Stan/PyMC3

Job description

In this position, you will work independently on data science projects of any scale and you will be empowered to make methodological decisions within the scope of a given project.

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope.

Work on a portfolio of projects simultaneously and are expected to adequately manage their own time to meet client expectations.

Regularly interface with other divisions and groups within HSB and have a thorough understanding of their business strategies and goals.

Education and Experience:

• Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required
• PhD in qualitative discipline is preferred
• 4+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in other industry
• Experience in feature engineering on structured and unstructured data
• Experience with Git or similar tool for version control
• Experience working with big-data technology on Linux-based systems.
• Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.)
• Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus

Knowledge and Skills:

• Hands-on experience in Python, R, SQL, Scala
• Exposure to cloud computing (Azure, AWS, etc.)
• Solid foundation in statistics and machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches
• Ability to write production-ready code

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.