Corporate Vice President – Data Scientist Position Available In Madison, New York

Job Description:

Our New York Life culture has laid the foundation for over 175years of commitment to our employees, agents, policy owners, andthe communities where we live and work. Here you become a valuedpart of a welcoming, inclusive, and caring organization with along-standing legacy in stability and growth. The strength revolvesaround our diversified, multi-dimensional business portfolio thatgoes beyond life insurance. As a Fortune 100 company and industryleader, we provide an environment where you can explore your careerambitions, offering opportunities to tackle meaningful challengesand stretch your skills while balancing work and life priorities.

You will be part of an inclusive team guided by our belief toalways be there for each other-providing the support andflexibility to grow and reach new heights while making an impact inthe lives of others. You are our future, and we commit to investingin you accordingly. Visit our LinkedIn to see how our employees andagents are leading the industry and impacting communities. Visitour Newsroom to learn more about how our company is constantlyevolving to meet our clients and employees’ needs. As part ofTechnology, youll have the opportunity to contribute togroundbreaking initiatives that shape New York Lifes digitallandscape. Leverage cutting-edge technologies like Generative AI toincrease productivity, streamline processes, and create seamlessexperiences for clients, agents, and employees. Your expertisefuels innovation, agility, and growth — driving the companyssuccess . The data scientist will partner with business andoperational leaders to provide an impact by leveraging data andanalytical tools, strategic thinking, and hypothesis-based analysison machine learning (ML)-based projects. The data scientist isresponsible for modeling complex business problems throughstatistical, algorithmic, mining, and visualization techniques.

Further, they will support senior leadership by creating businessinsights, reports, and analyses to aid in the decision-makingprocess.

What You’ll Do:

Translates business needs intoanalytics/reporting requirements to promote high quality code,highly available systems, and autonomous operations. Performslarge-scale experimentation and builds data-driven models provideinsights from system logs, cloud platforms, CI/CD pipelines,databases, etc. Researches and implements cutting-edge techniquesand tools in machine learning/deep learning/artificial intelligenceto make data analysis more efficient Apples statistical analysisand visualization techniques to various data, such as hierarchicalclustering, principal components analysis (PCA) machine learningDesigns and conducts data analyses with the highest standard ofrigor and scientific accuracy; this includes study design,methodology, algorithms, and statistical modeling

What You’llBring:

At least six years of relevant project experience insuccessfully launching, planning, and executing data scienceprojects, including statistical analysis, data engineering, anddata visualization Proven experience in conducting statisticalanalysis and building models with advanced scripting languagesExperience leading projects that apply ML and data science tobusiness functions Specialization in text analytics, imagerecognition, graph analysis, or other specialized ML techniques,such as deep learning, is preferred Fluency in multiple programminglanguages and statistical analysis tools such as Python, C++,JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS Knowledge ofdistributed data/computing tools such as MapReduce, Hadoop, Hive,or Kafka Strong understanding of AI, its potential roles in solvingbusiness problems, and the future trajectory of generative AImodels Willingness and ability to learn new technologies on the jobAbility to communicate complex projects, models, and results to adiverse audience with a wide range of understanding Ability to workin diverse, cross-functional teams in a dynamic businessenvironment Superior presentation skills, including storytellingand other techniques to guide and inspir Education A bachelor’s ormaster’s degree in computer science, data science, statistics, or arelated field

Pay Transparency Salary Range:

$122,500-$210,000Overtime eligible: Exempt Discretionary bonus eligible: Yes Salesbonus eligible: No Actual base salary will be determined based onseveral factors but not limited to individual’s experience, skills,qualifications, and job location. Additionally, employees areeligible for an annual discretionary bonus. In addition to basesalary, employees may also be eligible to participate in anincentive program.