Sr. Associate, Machine Learning Engineer

Key Skills

Java Programming, Python Programming, SQL, Apache Hadoop, NumPy, Pandas, Tableau, Kubernetes-K8s, R Programming, PySpark, Linux Operating system, Talend, Pentaho, ETL frameworks

Job Description

The Center for Data Science and Artificial Intelligence (CDSAi) is the innovative corporate Analytics group within New York Life. We are a rapidly growing entrepreneurial department which aims to design, create and offer innovative data-driven solutions for many parts of the enterprise. We are aided by New York Life’s existing business with a large market share in individual life insurance. We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a whole new generation of predictive analytics and artificial intelligence solutions.

In fact, we are building one of the first multivariate model-based continuous risk differentiations in the industry. We are also working on models for differentiated advertising allocation by geography, channel and segment. Geographic analytics on agents and customers, application fraud detection, agent success prediction and client prospecting analytics (off-line and on-line) are other exciting examples of enormous incremental value from analytics. Our products are implemented into real-time core business processes and decisions that drive the company (e.g. underwriting, pricing, agent recruiting, prospecting, advertising allocation, new product development).

We work with data ranging from demographics, credit and geo data to detailed medical data (medical test results, diagnosis, prescriptions) and social media information. We have a modern computing environment with a solid suite of data science/modeling tools and packages, and a large (but manageable) group of well-trained professionals at various levels to support you. Life insurance is on the verge of huge change. This is a chance to drive the transformation of an industry.

You will work with data scientists, data engineers and various technical teams in a highly interactive and integrated environment to engineer, build, deploy and monitor AI/ML solutions.

You will apply your experience developing complex software systems to create environments for people with various skill sets to collaborate, build features, build analytics solutions and move them to production.

You will apply your communication skills to function as a liaison between data scientists/engineers and various Technology groups.

Responsibilities

• Provide strategy and guidance for the architecture of ML development data and create solutions to process a large variety of data sources, all with the purpose of forming a high integrity model ready data source.
• Lead the deployment of models into production, in close collaboration with technology, data science teams and business partners.
• Be action oriented and comfortable working with complex data.
• Think strategically and work to define overall direction for solving complex business issues.
• Monitor and track data quality metrics
• Proactively address and resolve technical issues to support key business initiatives.
• Utilize emerging technologies to address business issues through technical innovation.
• Functions as data/ML expert, contribute to analytics/solutions design and implementation. decisions
• Can work independently with some supervision and be part of a collaborative team
• Work with Project Managers and Scrum Masters to provide milestones and stories
• Proactively and effectively communicate in various verbal and written formats with senior level member of the team and partners

Required qualifications

• Graduate-level degree in computer science, engineering, or relevant experience in the field of Business Intelligence, Data Mining, Database Engineering, Programming
• 6-8 years of overall experience working in the field of data wrangling and programming with a minimum of 2 years experience with ingesting, cleaning, merging and applying necessary data wrangling logic in Hadoop
• Excellent command of SQL – best practices, optimization, troubleshooting and debugging
• Strong Knowledge of Enterprise Platforms, Cloud Technology and high-performance computing.
• Proficiency using Python for all data related work such as Numpy, Pandas, PySpark
• Familiar with the requirements of real-time inference
• Experience working with Linux Operating System
• Experience working with data visualization tools or packages
• Experience building Exploratory Data Analysis reports such as Histograms, Box plots, Pareto, Scatter Plot using R, Python or a Data Visualization tool such as Tableau, Spotfire

Preferred:

• Understanding of statistical modeling concepts, designs and analytics-based products
• Any experience with Kubernetes
• Any experience in using ETL tools such as Ab Initio, Talend, Informatica, Pentaho
• Any experience working with Data Warehouses and/or Data Marts
• Any experience in Life Insurance Industry