Data Scientist
Posted on 9/26/2023
INACTIVE
Azurity Pharmaceuticals
Locations
Burlington, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Data Analysis
Data Science
Git
Marketing
NumPy
Pandas
Sales
SQL
Python
CategoriesNew
Data & Analytics
Requirements
  • 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%
Responsibilities
  • 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