Senior Data Scientist - Customer Engagement

Key Skills

Data Analytics, Data science techniques, Java Programming, NoSQL, PySpark, Python Programming, R Programming, Scala Programming, SPARK Programming, SQL

Job Description

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 Senior Data Scientist 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 build AI/ML driven solution to transform business operation. You will implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to applied experience, you will bring excellent problem solving, communication 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:

• Develop machine learning and statistical models that drive significant business outcomes. Write production-level code for training, testing, and running extraordinary machine learning models.
• Perform meticulous statistical analysis of structured and unstructured data to identify relationships, test hypotheses, and build model features.
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
• Analyze and transform raw data for use in statistical analyses and model development and deployment. Perform exploratory data analysis. Contribute to the formulation of problem hypotheses.
• Leverage continuous integration and continuous deployment standard processes, including test automation and monitoring, to ensure successful deployment of ML models and application code

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

Applied experience 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: 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.
• 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 $94,700.00 to $156,300.00. 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.

Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.

Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services.

We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand.

Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. 

The Prudential Insurance Company of America, Newark, NJ and its affiliates.

Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at staffingagencies@prudential.com for more information about doing business with Prudential.