Job Classification:
Technology - Data Analytics & Management
Are you interested in building industry-leading Artificial Intelligence solutions that drive speed, agility, and differentiation? 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 on the Corporate Functions Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, and Lawyers to design, build, and manage cutting-edge technology for transforming Risk, Compliance, and Legal functions throughout the enterprise. The role requires a rare combination of sophisticated analytical expertise; business acumen; a strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to join a world class data science team. In addition to applied experience, you 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.
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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 AI/ML solutions that redefine how our Corporate Functions operate. Perform hands-on data analysis, model development, model training, and model testing.
- Write production-level code.
- 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 a quantitative discipline (Mathematics, Statistics, Engineering, Physics, Computer Science, Data Science), or comparable experience.
- The ability to identify opportunities to use AI to transform business and operational processes or create new sources of revenue.
- Hands-on experience developing machine learning algorithms in Python, R, C, or a comparable language.
- Ability to analyze and visualize data and to develop innovative and effective machine learning solutions that generate tangible outcomes.
- Excellent problem solving, communication, and collaboration skills.
- Experience working with Risk, Legal, and Compliance functions.
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 $1,600 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, see our Total Rewards Brochure. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.
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-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 $99,000.00 to $163,200.00. 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.
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.