Cloud Trabajos a distancia y desde casa en MA Boston ∙ Página 1

Position Compensation Range:

Pay Rate Type:

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Primary Accountabilities

• Lead predictive modeling projects often involving multiple team members to develop and deploy models, especially with regards to Underwriting, that positively impact bottom-line economics.
• 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 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. The primary owner of internal model pipelines and takes the initiative to up-skill junior members of the team.

For the Lead-level position, we are seeking candidates who have most of the qualifications outlined below. However, we are also open to considering applicants at a lower level who demonstrate a portion of the required experience. The final determination of the level will be based on the candidate's qualifications.

• Master's degree or higher in Statistics, Machine Learning, Computer Science, Applied Mathematics, Physics or other quantitative discipline.
• Business experience in statistical modeling, data mining, machine learning, artificial intelligence, and applying database queries.
• Knowledge of Machine Learning and Statistical methods and experience applying them to business problems.
• Deploy and maintain real-time model scoring services.
• Ability to extract and clean data from a variety of structured and unstructured sources.
• Solid understanding of best practices in coding, code organization, data transformation, imputation, model selection, evaluation, and tuning.
• Gradient Boosted and Bayesian models.
• GCP or cloud architecture.
• Proficiency in programming in Python and SQL. Knowledge of Go, Java or Scala.
• Knowledge of one version control system (Git).
• Experience working in the insurance industry.

Specialized Knowledge & Skills Requirements:

• Demonstrated experience providing customer-driven solutions, support or service.
• Ability to work as part of a team and to communicate effectively.
• Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development.
• Understanding of software development best practices including source control, coding standards and testing frameworks.
• Demonstrated experience communicating complex findings in a clear and concise manor to divisional management. Able to influence senior managers through outstanding presentations.
• Demonstrated experience developing and managing complex projects.
• Experience shaping the strategy for projects to deliver maximum business value.
• Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach.
• Demonstrated experience working with large, complex datasets using big data technologies and script.
• Demonstrated knowledge and understanding of managing data to scale using data summarization, query, and analysis software and tools.

Travel Requirements

• Up to 10%.

Physical Requirements

• Work that primarily involves sitting/standing.

• Offer to selected candidate will be made contingent on the results of applicable background checks.
• Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions.

We encourage you to apply even if you do not meet all of the requirements listed above. Skills can be used in many different ways, and your life and professional experience may be relevant beyond what a list of requirements will capture. We encourage those who are passionate about what we do to apply!

We provide 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, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.