Sr Data Scientist - Remote

About the Role

Key Responsibilities

• Be an independent thinker and advocate of data science methods and applications
• Research, develop and apply new innovative analytics methods and technologies from other domains to healthcare data
• Work with autonomy and in partnership with other Data Scientists, Data Engineers and Software Engineers to find solutions to complex problems
• Leverage technical / analytical expertise across the enterprise to architect, deploy and oversee analytics and technology solutions
• Prototype new products and solutions that have the capability to transform the industry
• Articulate and paint a vision, with strong communication and presentation skills, as well as translate highly complex concepts, results, models and technologies in ways that can be understood by a variety of audiences
• Be familiar with the state-of-the-art around big data analytics and associated technologies and techniques
• Have experience with Commercial environments and/or Products
• Lead a variety of projects including proofs of concept, new product / component development, and reengineering initiatives
• Work as part of a small team, sharing ideas and contributing to strategic goals

Requirements

• 5+ years of experience as a Data Scientist
• 5+ years of experience using programming tools such as Python to solve complex technical problems
• 5+ years of experience using SQL
• 5+ years of experience accessing data from various data environments
• 1+ years of Hadoop/Pyspark experience
• 1+ years of experience with a version control system such as Git

Nice to Have

• Core knowledge of statistics, machine-learning and numerical / computational methods with experience in the application of these methods to business problems
• Extensive programming experience with Python/Pyspark or other analytics languages
• Experience of large-scale distributed computing environments (Hadoop, Hive, Databricks etc.)
• Experience developing analytical solutions on cloud computing platforms i.e. Azure, Snowflake
• Experience applying deep learning methods to business problems using TensorFlow, Keras, etc.
• Experience with supervised and unsupervised learning methods for model build and deployment
• Experience applying computational algorithms and statistical methods to structured and unstructured data
• Experience with BI/reporting tools such as Tableau or PowerBI
• Experience of the US Healthcare or Pharmaceutical sectors

Qualifications

• None explicitly specified beyond experience and skills requirements

Benefits & Perks

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution