Senior Associate - Data Scientist - Technology Infrastructure & EngineeringNew York Life Insurance Company • United States
Dieses Stellenangebot ist nicht mehr verfügbar
Senior Associate - Data Scientist - Technology Infrastructure & Engineering
New York Life Insurance Company
- United States
- United States
Über
Hybrid - 3 days per quarter Overview
The Data Scientist will partner with business and technical operational leaders to provide 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. What You'll Do
Translate business needs into analytics/reporting requirements to promote high quality code, high availability and stable systems, and autonomous operations. Perform large-scale experimentation and build data‑driven models to extract insights from system logs, cloud platforms, CI/CD pipelines, databases, etc. Research and implement cutting‑edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient. Collect and preprocess large amounts of structured and unstructured data. Conduct exploratory data analysis to uncover patterns, spot anomalies, and test hypotheses. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, principal component analysis (PCA) and machine learning. Design and conduct data analyses with the highest standard of rigor and scientific accuracy, including study design, methodology, algorithms, and statistical modeling. What You'll Bring
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. Skills
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 MapReduce, 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. Education
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. Pay Transparency
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. Company Overview
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 stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it. Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We’re proud that due to our mutuality, we operate in the best interests of our policy owners.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.