Senior Associate - Data Scientist - Technology Infrastructure & Engineering

Location Designation: Hybrid - 3 days per quarter

The Data Scientist will partner with business and technical operational leaders to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects. The data scientist is responsible for modeling and developing predictive models to address complex business problems through statistical, algorithmic, mining, and visualization techniques. Furthermore, this role is integral in supporting senior leadership in identifying and creating business insights, reports, and analyses to aid in the decision-making process.

• Translates business needs into analytics/reporting requirements to promote high quality code, high availability and stable systems, and autonomous operations.
• Performs large-scale experimentation and builds data-driven models t extracting insights from system logs, cloud platforms, CI/CD pipelines, databases, etc.
• Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
• Collects and preprocesses large amount of structured and unstructured data
• Conducts Exploratory Data Analysis to uncover patterns, spot anomalies, and test hypotheses
• Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, principal components analysis (PCA) machine learning
• Designs and conducts data analyses with the highest standard of rigor and scientific accuracy; this includes study design, methodology, algorithms, and statistical modeling

• At least six years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization
• Proven experience in conducting statistical analysis and building models with advanced scripting languages
• Experience leading projects that apply ML and data science to business functions
• Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred

• Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
• Experience with Tableau and other visualization tools
• Knowledge of distributed data/computing tools such as Map Reduce, Hadoop, Hive, or Kafka
• Solid understanding and experience with model evaluation and tuning techniques
• Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
• Experience with cloud platforms (e,g, AWS, Azure, Salesforce)
• Willingness and ability to learn new technologies on the job
• Ability to communicate complex projects, models, and results to a diverse audience including non-technical stakeholders
• Ability to work in diverse, cross-functional teams in a dynamic business environment
• Superior presentation skills, including storytelling and other techniques to guide and inspire

• A bachelor’s or master’s degree in computer science, data science, statistics, or a related field
• Candidates will ideally have a specialization in ML or AI

• Salary Range: $124,000-$177,000
• Overtime eligible:
  Exempt
• Discretionary bonus eligible:
  Yes
• Sales bonus eligible:
  No
• Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.

Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing…