Do you have experience applying and integrating statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex, high-volume data from a variety of sources?

Enjoy communicating insights to both internal and external stakeholders in formal and informal settings?

This may be the role for you!

About the team:

Our team conducts ad-hoc analyses for internal and external customers using complex data assets, analyzes customer trends and market shifts to support senior leadership decisions, and defines, standardizes, and maintains metric calculations for communications

About the role:

A Senior Data Scientist I should be able to define scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.

Responsibilities

• Requires specialized depth and/or breadth of expertise in Life Insurance

• Interpret business plays to recommend (and execute) an analytic plan to supervisor and/or client

• Summarize and communicate conclusions and solutions to analytic and non-analytic stakeholders

• Solves complex problems; takes a broad perspective to identify innovative solutions

• Works independently, with guidance in only the most complex situations

Requirements:

• Bachelor’s degree in a quantitative field such as Statistics, Applied Math, Computer Science or a related quantitative field with a strong GPA (>3.2). Master’s degree in Actuarial Science, Statistics, or Data Science is preferred.

• Proven work experience in data analysis. Proficiency in working with relational databases/query languages (e.g., MySQL, Spark SQL). Experience in matching, merging, and manipulating large data sets using a parallel programming language (e.g. PySpark, ECL) is preferred.

• Strong programming skills in Python and/or R is a must.

• Deep understanding of mathematical and statistical modeling. Ability to develop hypothesis and test and deploy complex machine learning models in production. Has experience in classification or mortality model build is a plus.

• Strong oral and written communication skills, including the ability to describe analytical results to non-statistical audiences

• Strong ability to lead projects, develop project plans, communicate project progress, and share modeling/analysis results with business partners.

• Comfortable working in a fast-paced environment.

• ASA and/or FSA certification is a plus.



U.S. National Base Pay Range: $93,400 - $155,700. Geographic differentials may apply in some locations to better reflect local market rates.

 


 



This job is eligible for an annual incentive bonus.



We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer to our US full- and part-time employees working at least 20 hours or more per week:

● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice



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