Work Location :
Charlotte, NC (hybrid), Morristown, NJ (hybrid), or Fully Remote. To protect the health and safety of our employees, our offices are closed until mid-September 2021. When our offices reopen, the organization will be moving to a hybrid work model.
Our Commitment to Diversity, Equity, and Inclusion :
At Brighthouse Financial, we’re fostering a culture where diverse backgrounds and experiences are celebrated, and different ideas are heard and respected. We believe that by creating an inclusive workplace, we’re better able to attract and retain our talent, provide valuable solutions that meet the needs of our advisors and their clients, and deliver on our mission of helping more people achieve financial security.
How This Role Contributes to Brighthouse Financial:
Data Scientists in Brighthouse Financial’s Data Science organization work closely with cross-functional teams in marketing, distribution, actuarial, product and other functions, leverage Brighthouse Financial’s rich datasets to develop and deliver propensity models and data-driven insights, and ultimately drive Brighthouse Financial’s top line growth. A successful candidate will be passionate about finding insights in data and using quantitative analysis to answer complex questions, with a collaborative and resourceful style.
Leads the design and development of interdepartmental and cross functional advanced analytics, with Machine Learning and Artificial Intelligence as the backbone.
Partners with senior management to assist driving business strategy into execution by understanding complex business challenges, translating ambiguous and complex problems into consumable concepts.
Collaborate with partners in the development of hypotheses, converting into the best analytical approach.
Provide actionable insight to partners, stakeholders and executive leadership by presenting analysis, ideas, progress, and results in a clear and impactful manner to drive decision making by transforming ambiguous business questions into measurable and impactful insights.
Utilize state of the art technologies (data science, machine learning, artificial intelligence, modeling, and simulation tools) to meet business needs across the spectrum of Financial Services and Insurance value-chain.
Apply data visualization and other storytelling techniques to optimally communicate impact, track and measure results to articulate insights, business value and impact.
Collaborate cross-functionally with business partners to develop proof of concepts and industrialize analytics and modeling applications for scale.
Actively advocates and matures the advanced and data science practice.
Continually strives to maximize the ROI of the solution and optimize model performance.
Analyzes internal / external, online / offline, and structured / unstructured data such as geospatial analytics, digital footprints, financial information, proprietary market research and secondary sources to identify insights.
Codes, tests, debugs, documents, maintains, and modifies complex ML and AI programs.
Leads projects team with team members from matrix functions.
Handles and resolves questions and issues referred by partners, junior staff members, engagement and delivery teams.
Proposes, evaluates and implements process improvements to increase efficiency and effectiveness.
Collaborate with the Enterprise Data & Analytics teams to ensure all services are secure, reliable, maintainable, and well-integrated into existing capabilities, solutions, platforms, and processes.
Works with the Enterprise Data & Analytics Engagement Management team to collaborate with business, vendors, and other IT functional partners, while assisting with managing the relationship across all stakeholders.
Contributes to defining timetables and project plans.
Keeps up to date with advanced analytics innovations and applies them to new opportunities and improves existing solutions.
Essential Business Experience and Technical Skills:
8+ years of experience applying quantitative analysis and modeling to solving real-world business problems.
Proficient in Python/PySpark.
Demonstrated ability to perform high quality work both independently and leading a team of data scientists and machine learning engineers.
Excellent oral and written communication skills, including the ability to explain complicated quantitative concepts to non-technical and lay stakeholders using effective story telling techniques and visualization.
Ability to prioritize requests to meet the most important and urgent business needs.
Working knowledge of insurance industry is a plus.
Prior exposure to financial services or insurance industry preferred.
Advanced degree in a technical field preferred.
Experience building a variety of machine learning, forecasting or statistical models
Experience writing SQL queries, mining large and imbalanced datasets, using data visualization tools
Ability to translate complex data sets and research into simple business recommendations
Aptitude for quickly ramping up on new technology
Ability to juggle several complex projects simultaneously
Taking initiative and work independently with minimal supervision
Our Benefits: Time Off: Minimum of 20 days of paid time off and 13 paid company holidays per full calendar year, plus paid volunteer time Financial Benefits: 401(k) savings plan with up to a 6% annual match and 3% annual company nondiscretionary contribution of eligible compensation, annual incentive plan, and employee stock purchase plan Family Focus: Up to 16 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, and adoption and surrogacy assistance Health and Welfare: Competitive medical, vision and dental plans, plus tax-free health savings accounts with potential company contributions up to $1,000 per family Wellness Programs: Wellness incentive platform, employee assistance program, financial counseling services, fitness center discounts and more Life & Disability Benefits: Company-paid basic life insurance and short-term disability
Less than 5%