You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

Responsibilities

• Research, experiment with, and implement suitable ML algorithms, tools and technologies.
• Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques to ensure ongoing competitive advantage.
• Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
• Accountable for ownership of  design, development and maintenance of Model as Service
• Work with junior engineers and peers to provide mentorship and thought leadership.
• Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
• Delivery of critical milestones for model deployment in the AWS cloud.
• Adopt and promote MLOps best practices to the Data Science community.

Qualifications

• Must be authorized to work in the U.S. now and in the future.
• Master’s degree in related field or 5+ years of equivalent experience in a research function.
• Fundamentally strong with Data Structures and algorithms.
• Experience building and deploying Web Services in a Cloud environment.  
• Experience building CICD pipeline using Jenkins or equivalent.
• Strong application development experience using Python, Java, Scala or R.
• Familiarity with big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS.
• Experience in end to end model development lifecycle, from ideation through post production monitoring.
• Experience with Solution Design and Architecture of data pipelines.
• Basic understanding of Data Science model development life cycle.
• Development experience for Web Service API with AWS suite of Tools.
• Familiarity with Sage Maker, Python Flask or Spring Boot.
• Experience working with Docker, Kubernetes and EC2 environment.
• Basic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn, H20,
• Experience with Agile framework.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Benefits

Our company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age