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, 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 - Finance and Actuarial you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build state-of-the-art actuarial, financial, 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 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, model training, model 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 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
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, 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
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...

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