Data Scientist
Posted on 9/26/2023
Azurity Pharmaceuticals
Burlington, MA, USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data & Analytics
  • PhD. in Computer Science, Statistics, or a related discipline with 1+ years of relevant professional industry experience, or a Master's degree in a related discipline with 3+ years of relevant professional industry experience
  • Strong proficiency in Python and SQL, with an emphasis on Python ML libraries such as Pandas, Numpy, Scikit-Learn, and Pytorch
  • Strong foundation in statistics, including techniques such as A/B testing design and causal inference with experimental data
  • Knowledge of software engineering best practices including version control (Git), Docker and documentation, and familiarity with Agile/Scrum methodologies
  • Strong analytical and problem-solving skills, with an ability to derive insights from data
  • Excellent communication skills, with an ability to liaise with both technical and non-technical stakeholders
  • Experience in marketing or commercial analytics is a strong plus
  • Must be able to sit for long periods of time
  • While performing the duties of this job, the employee is frequently required to stand; walk; sit; talk and/or hear
  • May occasionally climb stairs and/or ride elevators
  • The employee must occasionally lift and/or move up to 25 pounds
  • Employee must be able to manipulate keyboard, operate a telephone and hand-held devices
  • Other miscellaneous job duties as required
  • Travel (up to 5-10%) may be required for non-sales colleagues, travel for sales colleagues is 40-50%
  • Act as an internal technical consultant on statistical modeling techniques and execute on projects spanning our Commercial analytics and ML initiatives
  • Assess, clean, and analyze large structured and/or unstructured datasets
  • Employ and encourage data science and software engineering best practices
  • Collaborate with other technical colleagues including data engineers, front-end engineers, etc
  • Design, implement, and maintain journey assignments for marketing campaigns, ensuring randomized and unbiased processes
  • Develop and deliver bespoke measurement analyses for Omnichannel Marketing campaigns
  • Oversee the maintenance and expansion of the Marketing Dashboard backend code, ensuring robustness and scalability
  • Handle the post-ETL processes of our Next-Best-Action recommendation system and Performance Dashboard
  • Provide essential support for new brand integrations and implement updates to align with strategic business imperatives
  • Promptly address and resolve production issues raised by our Sales and Marketing teams when pertinent to production DS systems, ensuring seamless operations
  • Conduct bespoke Commercial impact analyses for our Commercial Leadership, providing actionable insights to drive business strategies