Job Classification:
Technology - Data Analytics & Management
Are you interested in building capabilities that enhances the organizations 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, youll unlock an exciting and impactful career all while growing your skills and advancing your profession at one of the worlds 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 (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data 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:
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.
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.
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
Text Analytics: Experience with modeling and interpreting text analysis including NLP, LLMs (Bert, etc), and Generative AI.
Youll 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, well help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. Youll be surprised by what this rock-solid organization has in store for you.
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...

Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity