Job Classification:

Technology - Data Analytics & Management

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions.

As a Director, Data Scientist on/in Chief Data Office (CDO), USA Insurance and Retirement Data Science team, you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other specialists to transform Group Insurance business with AI. This role leads data scientists in the development of statistical and machine learning models that deliver significant business value. You will implement capabilities to solve meaningful business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring problem solving and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do.

Here is what you can expect in a typical day:

• Coordinate and engage in the process of design, develop, and produce machine learning and statistical models that drive significant business outcomes. Translate business requirements into statistical analyses and the production of innovative machine learning models.
• Design, support the design of, and actively provide guidance in performing thorough statistical analysis of structured and unstructured data to identify relationships, test hypotheses, build model features, and design mathematical, statistical, and machine learning models.
• Support Principal Data Scientists on primary and secondary research that contributes to the design of analysis and model development. Support continuous innovation and thought leadership in the domain of machine learning model design by bringing in industry leading trends and paradigms.
• Lead external vendors in the execution of parts of the data science development process.
• Leverage continuous integration and continuous deployment standard processes, including test automation and monitoring, to ensure successful deployment of ML models and application code
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies
• Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL

The Skills and expertise you bring:

• Minimum of a Master’s degree in Computer Science, Math or Engineering related subject areas.
• Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
• Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges
• Excellent problem solving, communication and collaboration skills

Significant experience and/or deep expertise with several of the following:

• Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R.
• Database Management System: Knowledge of how databases are structured and function in order to use them efficiently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
• Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning
• Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Differential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems
• Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)
• Machine Learning: Deep understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models.
• Programming Languages: Python, R, SQL, Java or Scala, SQL
• Data Visualization: Knowledge of data visualization standard methodologies, including how to select visualizations appropriate to the data and the data story. Data visualization technologies may include Tableau, Power BI, MS Excel, Google Analytics.
• Strategy: Ability to formulate original long-term and short-term strategies for achieving business outcomes. Ability to frame strategies in the form of a business plan backed by financial models.
• Financial Modeling: Ability to construct mathematical models to value assets and liabilities. Mastery of concepts including discounted cash flows, weighted average cost of capital, expected value, and terminal value. Ability to generate probabilistic models that represent valuations using varying assumptions.

You’ll Love Working Here Because You Can

Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you.

#LI-LR1 #LI-Hybrid

Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $168,600.00 to $228,000.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement.