Senior Data Scientist - Customer Engagement

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 i n the Chief Data Office (CDO) supporting Marketing, Sales & distribution , you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! 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:

• Write production-level code and partner with machine learning engineers to push development code into production.
• Continuously research new methods for solving business use cases, including new algorithms, modeling techniques, and other AI/ML techniques.
• Execute all aspects of an advanced analytical project under guidance and in Agile framework
• Responsible for hands-on data analysis, machine learning model development, model training, model testing, and business benefit calculations.
• 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.
• Communicate and present complex data science concepts to business stakeholders through storytelling and continue building relationships with stakeholders.

The Skills and expertise you bring:

• Applying a wide variety of statistical machine learning techniques to complex real world problems spanning analysis, predictive modeling, and optimization on structured and unstructured data
• Ability to learn new skills, financial processes and products, marketing, and other business knowledge on an ongoing basis through self-initiative, collaboration, strategic thinking, and by seeking challenges.
• Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines
• Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word, and PowerPoint) and build/maintain consultative relationships with key business stakeholders.

Applied experience with several of the following:

• Model Deployment: Understanding of AWS SageMaker and data pipelines.
• Data Wrangling: Merge and model large structured and unstructured data sources (e.g. financial transactional, time-series, text, speech/audio and image) to generate insights and for modeling purposes.
• Machine Learning: Knowledge of theory and development experience with machine learning methods for prediction and optimization including a wide variety of machine learning methods (regression, ensemble and boosted models, clustering, LSTMs, Bert, Generative AI, etc.)
• Programming Languages: Python, SQL
• Data Acquisition and Transformation: Identify, source, transform and join public, proprietary and internal data sources using SQL and NoSQL.
• Statistics and Computing: Exceptional understanding of: Machine Learning, Probability, Statistics, and Programming for the purposes of explorative analysis, control-treatment statistical tests, A/B testing, segmentation, and hypothesis testing.

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.

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 [email protected] 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 [email protected] .

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 [email protected] to request assistance.