1+ months

Data Scientist - DIG0003S

Prudential
Roseland, NJ 07068
  • Job Code
    565399
  • Jobs Rated
    7th
Primary Location United States-New Jersey-Roseland
Job:Full-time
Travel:No
Description
!*!

Prudential Financial, Inc. 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 through a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services. The companys well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. ISG Technology is an integral part of Prudentials Individual Solutions Group (ISG) and is driven by data. Capitalizing on data aggregation, analytics, and insights is paramount to driving growth and business success.


About the Role:


As we create a diverse, growing, and dynamic workforce within a technology community that's respected for delivering high-tech solutions, data-driven solutions are at the core of it all. To this end, ISG Technology is seeking a qualified Senior Data Scientist with experience in designing solutions to business problems using machine learning, big data techniques and technologies. The ideal candidate is a data-driven problem-solver with an ability to translate business requirements into mathematical models. The candidate will also have an ability to develop solutions to complex mathematical and data problems, discover insights and identify opportunities through the use of statistical, algorithmic, data-mining and visualization techniques. Partnering with a team of technology and business data specialists the candidate will use their analytic and engineering skills to integrate and prepare large, varied datasets, and architecting specialized solutions, in cloud environments, employing a range of machine learning and data science techniques, while effectively communicating results to various interested parties. This is a dynamic environment where the right candidate will be comfortable and capable of operating in test and learn mode, and work independently.


Key Responsibilities


  • Utilize emerging data technologies and techniques to solve data driven problems
  • Lead, influence and participate in the end-to-end data lifecycle activities
  • Identify business problems, engage with business teams & build hypotheses
  • Define and build compute environments and automated data pipelines
  • Drive data engineering activities: discovery, sourcing, wrangling, cleansing and modeling
  • Apply Machine Learning techniques and various algorithms to provide problem solving insights
  • Create meaningful insights through data visualization & simple, effective results communication
  • Work as a liaison between business partners and junior data scientists to refine data science activity
  • Participate in management meetings to help establish data roadmap and strategies





Qualifications
@!*!


  • Experience with algorithms and programming to efficiently process large datasets and apply treatments, filters and conditions to your data
  • Experience with big data technologies such as Hadoop 2.0, HBase, Mongo, Informatica, Cloudera, Vertica, Green Plum, Netezza
  • Proficient with practical experience with data engineering; data discovery, cleansing, wrangling, and modeling:
  • The ability to organize and wrangle large datasets so that you can get actionable insights from them. This may include finding innovative ways to combine fields of data that dont naturally mesh together.
  • Experience defining and creating automated data pipelines, and performing advanced data manipulation
  • Interest in understanding the business problems and how the work impacts the business
  • Enthusiastic yet humble you are excited about the work you do, but you are also humble enough to embrace feedback you dont need to be the smartest person in the room. 
  • Experience with machine learning methods, techniques and algorithms; classification and regression, clustering, decision trees, neural networks, time series analysis, etc.
  • Firm understanding of statistics: statistical tests, distributions, maximum likelihood estimators, etc. 
  • Experience with visualization and reporting technologies such as Tableau, Power BI, and/or programmatic visualizations in Plotly, SAS, Python, etc.
  • The ability to create meaningful data visualizations that communicate your findings and demonstrate how your insights create business impact.
  • Excellent written and verbal communication skills
  • An entrepreneurial mindset with the ability to adopt novel solutions in a fast-paced environment, to deliver results quickly, help junior team members along the way.
  • Able to work collaboratively as a senior member of the team, but with creative and individual thinking
  • Previous experience in working in high growth, data driven, and/or innovative businesses
  • Experience with Lean and/or SCRUM development methodologies a plus
  • MS or PhD in Computer Science, Math or Engineering or other quantitative field. Work experience can substitute for experience
  • Experience with time series analysis is a plus
  • Experience with AWS machine learning suite of tools is a plus
  • Experience with applying data science to problems in insurance and/or other financial industries is a plus
  • Experience with analyzing data from social media platforms a plus
  • Knowledge of image data analysis and computer vision a plus
  • Knowledge of natural language processing a plus

Preferred but not required qualifications




@!*!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, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.

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.
Job Posting:@false

Categories

Jobs Rated Reports for Data Scientist

Posted: 2019-11-07 Expires: 2020-01-05

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Data Scientist - DIG0003S

Prudential
Roseland, NJ 07068

Join us to start saving your Favorite Jobs!

Sign In Create Account
Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
32/220
Stress
Very Low
41/220
Growth
Very Good
35/220
Powered ByCareerCast