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Corporate Vice President - Data Scientist

New York Life Insurance

Lebanon (NJ)

On-site

USD 150,000 - 210,000

Full time

12 days ago

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Job summary

An established industry player in life insurance is seeking a talented data scientist to join their innovative team. This role offers a unique opportunity to leverage cutting-edge technologies, including Generative AI, to drive impactful data analysis and insights. With a focus on career advancement and a comprehensive benefits package, this position promises a supportive and inclusive work environment. If you have a passion for data science and a desire to contribute to meaningful projects, this is the perfect opportunity to elevate your career and make a difference in the financial services sector.

Benefits

Comprehensive benefits package
Discretionary bonus eligibility
Adoption assistance
Student loan repayment programs
Career advancement opportunities

Qualifications

  • 6+ years of experience in data science project execution.
  • Proven skills in statistical analysis and model building.
  • Fluency in programming languages and analysis tools.

Responsibilities

  • Translate business needs into analytics and reporting requirements.
  • Perform large-scale experimentation and build data-driven models.
  • Research and implement advanced machine learning techniques.

Skills

Python
R
SQL
Excel
Machine Learning
Statistical Analysis

Education

Bachelor's in Computer Science
Master's in Data Science

Tools

MapReduce
Hadoop
Kafka

Job description

Employer Industry: Life Insurance and Financial Services

Why consider this job opportunity:
- Salary up to $210,000
- Discretionary bonus eligibility
- Comprehensive benefits package, including leave programs, adoption assistance, and student loan repayment programs
- Opportunities for career advancement and growth within the organization
- Work in an inclusive environment that values diverse perspectives
- Engage in innovative projects leveraging cutting-edge technologies like Generative AI

What to Expect (Job Responsibilities):
- Translate business needs into analytics and reporting requirements to ensure high-quality code and autonomous operations
- Perform large-scale experimentation and build data-driven models to provide insights from various data sources
- Research and implement advanced techniques in machine learning and artificial intelligence for efficient data analysis
- Apply statistical analysis and visualization techniques to diverse datasets
- Design and conduct data analyses with scientific accuracy, including methodologies and statistical modeling

What is Required (Qualifications):
- At least six years of relevant project experience in launching, planning, and executing data science projects
- Proven experience in conducting statistical analysis and building models using advanced scripting languages
- Experience leading projects that apply machine learning and data science to business functions
- Fluency in multiple programming languages and statistical analysis tools such as Python, R, SQL, and Excel
- A bachelor’s or master’s degree in computer science, data science, statistics, or a related field

How to Stand Out (Preferred Qualifications):
- Specialization in text analytics, image recognition, or other advanced machine learning techniques
- Knowledge of distributed data/computing tools such as MapReduce, Hadoop, or Kafka
- Strong understanding of AI and its potential in solving business problems
- Ability to communicate complex projects and results to diverse audiences
- Superior presentation skills, including storytelling techniques

#LifeInsurance #DataScience #MachineLearning #CareerOpportunity #InclusiveWorkplace

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

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