Senior Data Scientist
Prudential Financial
full-time
Posted on:
Location Type: Hybrid
Location: Newark • Maine, New Jersey • 🇺🇸 United States
Visit company websiteSalary
💰 $101,500 - $167,300 per year
Job Level
Senior
Tech Stack
JavaPythonScalaSQL
About the role
- Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries.
- Perform hands-on data analysis, model development, model training, model testing, model deployment.
- Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques.
- Write production-level code and partner with machine learning engineers to push development code into production.
- 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.
- Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases.
- Manage external vendors in the execution of the data science development process.
Requirements
- 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
- Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
- Experience in research and designing experiments (ex: A/B testing). An insurance actuary background is preferred but not required
- Ability to learn creative skills and knowledge on an on-going basis through self-initiative and solving challenges
- Excellent problem solving, communication and collaboration skills.
- Applied experience with several of the following: Data Acquisition and Transformation, Database Management System, Model Deployment, Statistics and Computing, Data Wrangling, Machine Learning, Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher.
Benefits
- Medical, dental, vision, life insurance, disability insurance
- Paid Time Off (PTO), and leave of absences, such as parental and military leave
- 401(k) plan with company match (up to 4%)
- Company-funded pension plan
- Wellness Programs 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
- Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs
- 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
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysismodel developmentmodel trainingmodel testingmodel deploymentdata acquisitiondata transformationdatabase managementmachine learningprogramming languages
Soft skills
problem solvingcommunicationcollaborationjudgmentself-initiative
Certifications
MastersPh.D.