Sr. Data Scientist
Posted on: May 6, 2021
Location: WA - Seattle
Location: FL Jacksonville
Location: MA - Boston
Homesite Insurance was founded in 1997 and was one of the first
companies to enable customers to purchase home insurance directly
online, during a single visit. Since then, we've continued to
innovate rapidly to meet the needs of our customers and their
changing expectations.One thing that's stayed the same since our
founding: our commitment to our customers, partners and
employees.Join us on our journey as we continue to grow into a
powerful contender in the field of insurance.Compensation may vary
based on the job level and your geographic work location.
Compensation Minimum:$76,000 Compensation Maximum:$150,000 American
Family Small Business is an innovative national property and
casualty insurance team with a fast-paced environment. We support
multiple products sold through a number of operating companies and
distribution methods, including offerings in partnership with other
large national brands. We seek a person possessing analytical
rigor, a sense of data and mad coding skills with a desire to build
a successful career in Data Science.
The primary role will be to grow profits through the development of
state-of-the-art risk-selection, pricing and product models. Job
ResponsibilitiesLead predictive modeling projects often involving
multiple team members to develop new underwriting programs that
increase our customer lifetime value.Use statistical and machine
learning/deep learning to build supervised, semi-supervised and
unsupervised models per business needs.Work with fellow data
scientists and developer teams to translate models to business
solutions and collaborate with other departments in the company
when necessary.Lead the business efforts in conjunction with IT to
help implement the models in production.Interface with stakeholders
and develop innovative approaches to communicate the value add of
the models being built.Identify, leverage, develop, and demonstrate
expertise in emerging technologies, open source tools, and
harnessing new AI techniques.Qualifications:
- Master's degree or higher in Statistics, Machine Learning,
Computer Science, Applied Mathematics, Physics or other
- A doctoral degree and/or some Actuarial exams preferred
- Three to five years business experience in statistical
modeling, data mining, machine learning, artificial intelligence,
and applying data base queries.
- Extensive knowledge of Machine Learning and Statistical methods
and experience applying them to business problems.
- Solid understanding of best practices in coding, code
organization, data transformation, imputation, model selection,
evaluation, and tuning.
- Ability to extract and clean data from a variety of structured
and unstructured sources.
- Capable of influencing senior managers through outstanding
- Skilled in mentoring junior staff.
- Ability to drive both individual and team projects to
completion. Experience with AWS (SageMaker) is preferred.
- Knowledge of deep learning neural networks and experience in
frameworks such as TensorFlow, Keras, Caffe, PyTorch, etc.
- Proficiency in programming in SQL and Python or R.
- Knowledge of Go, Java or Scala is a plus.
- Knowledge of one version control system, preferably Git.
- Prior experience with H2O and DataRobot is a plus. Knowledge of
deep learning neural networks and experience in frameworks such as
TensorFlow, Keras, Caffe, PyTorch, etc. preferred. When you work at
Homesite you can expect benefits that support your physical,
emotional, and financial wellbeing. You will have access to
comprehensive medical, dental, vision and wellbeing benefits that
enable you to take care of your health. We also offer a competitive
401(k) contribution, a pension plan, an annual incentive, and a
paid-time off program. In addition, our student loan repayment
program and paid-family leave are available to support our
employees and their families. Interns at Homesite are eligible for
the paid time off program. Contingent workers are not eligible for
American Family Enterprise benefits.Stay connected: Join Our
Enterprise Talent Community!
Keywords: Homesite, Seattle , Sr. Data Scientist, Other , Seattle, Washington
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