Job Classification:

Are you interested in building capabilities that enhances the organization’s 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, you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build state-of-the-art prediction, optimization, engagement, and behavioral models. 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 attitude and a continuous learning focus to all that you do.  

The current employee work arrangement for this position is Hybrid (Newark, NJ) and requires your on-site presence on a reoccurring weekly basis as determined by your business. Your manager will provide additional details relative to the specific number of days you are expected to be on-site.

Here is what you can expect in a typical day:

• Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Principal Data Scientist and the technical requirements specified by the Senior Lead Data Scientist. Perform hands-on data analysis, model development, training, and testing.
• Write production-level code and partner with machine learning engineers to push development code into production.
• Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics and interpretation techniques.
• Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms.

The Skills and expertise you bring:

• Advanced degree (Ph.D. Statistics Preferred) in Statistics, Mathematics, Electrical Engineering, Physics, Computer Science, or comparable quantitative disciplines
• Proficient at working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results.
• Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges.
• Excellent problem solving, hypothesis testing, communication and collaboration skills.

Applied experience with the following:

• Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, 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.
• GenAI: Experience and knowledge of GenAI related systems
• Text Analytics: Experience with modeling and interpreting text analysis including NLP, LLMs (Bert, etc), and Generative AI.
• Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
• 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.
• 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, interpreting and monitoring machine learning models.
• 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
• Programming Languages: Python and SQL

What we offer you:

• Market competitive base salaries, with a yearly bonus potential at every level
• Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave
• Retirement plans:
  • 401(k) plan with company match (up to 4%)
  • Company-funded pension plan
• Wellness Programs to help you achieve your wellbeing goals, including up to $1,000 a year for reimbursement of items purchased to support personal wellbeing needs
• Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
• Tuition Assistance to help finance traditional college enrollment toward obtaining an approved degree, many accredited certificate programs, and industry designations.
• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.

To find out more about our Total Reward package, visit Work Life Balance Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.

#LI-LR1 #LI-Hybrid

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.

PEOPLE WITH DISABILITIES:
If you need an accommodation to complete the application process, which may include an assessment, please email accommodations.hw@prudential.com.

Please note that the above email is solely for individuals with disabilities requesting an accommodation.  If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance.