Senior Associate - Data Scientist - Technology Infrastructure & Engineering

Location: Remote,New York,United States

Department: Tech Data AI Ventures

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. 

What You'll Do:

• 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 extractinginsights 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 

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.

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. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

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. Click here to learn more about New York Life’s leadership in this space.​

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. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

​Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.

Job Requisition ID: 93311