Job Description

Roles & Responsibilities

In this role, you will:

• Be responsible for providing technical leadership and defining, developing, and evolving data and advanced analytics products in a fast paced and agile development environment
• Work with Project/Product Managers and stakeholders to understand product requirements and execute to the project vision
• Identify opportunities for design improvements by performing retrospective analysis of historical machine log data vs service dispatches, apply statistical and machine learning techniques to provide insights on data patterns, asset usage, and design characteristics to funnel product quality improvements.
• Translate machine intelligence requirements and project vision into prioritized list of user stories, developing and delivering intelligence products to required timelines and quality standards
• Provide leadership in data creation, formatting, gathering, and standardization to enable efficient and effective machine learning
• Communicate effectively with a wide range of business, engineering, and scientific teams
• Support product and technology reuse and scalability
• Drive world-class quality in the development and support of products
• Engage subject matter experts in successful transfer of complex domain knowledge
• Develop code that meets standards and delivers desired functionality using the technology selected for the project

Qualifications/Requirements

• Degree or experience in STEM (Science, Technology, Engineering and Math) fields such as computer science, operations research, econometrics, data science
• BS degree with minimum of 5 years, Master’s degree with 3 years, PhD with 1 year relevant professional experience, or significant professional experience
• Must be willing to travel as needed to support team
• Must be willing to work at an office in Bangalore, India

Desired Characteristics

• Demonstrated expertise in modeling, and in the development and application of descriptive, predictive, and prescriptive analytics
• Experience working on software projects in the healthcare domain
• Experience with big data technologies
• Experience utilizing statistical/machine learning tools (Python, R, etc.)
• Experience with data visualization technologies (Kibana, Spotfire, Tableau, Python, R, JavaScript, etc.)
• Experience with Natural Language Processing and Deep Learning algorithms.
• Experience with Unstructured data.
• Proficient in implementing Algorithms and statistical models
• Experience working in AWS platform
• Experience with extracting data from large databases (SQL, Hue, Postgres, Hive QL, Lucene, etc.)
• Demonstrated skill in data cleaning, data quality assessment, and using analytics for data assessment
• Experience in the full data science lifecycle, from business understanding to model operationalization