Data Scientist

As a Data Scientist, you will work closely across Deepintent Analytics teams located in New York City, India, and Bosnia. The role will support internal and external business partners in defining patient and provider audiences, generating analyses and insights related to the measurement of campaign outcomes, Rx, and patient journey, and supporting the evolution of the Deepintent product suite. Activities in this position include creating and scoring audiences, reading campaign results, analyzing medical claims, clinical, demographic, and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.

Responsibilities:

• Explore ways to create better audiences.
• Analyze medical claims, clinical, demographic, and clickstream data to produce and present actionable insights.
• Explore ways of using inference, statistical, and machine learning techniques to improve the performance of existing algorithms and decision heuristics.
• Design and deploy new iterations of production-level code.
• Contribute posts to our upcoming technical blog.

Requirements:

• Bachelor's degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, or Data Science.
• A graduate degree is strongly preferred.
• 4+ years of working experience as a Data Analyst, Engineer, Data Scientist, or Researcher in digital marketing, consumer advertisement, telecom, or other areas requiring customer-level predictive analytics.
• Proficiency in performing statistical analysis in R or Python, including relevant libraries, is required.
• You have an advanced understanding of the ad-tech ecosystem, digital marketing, and advertising data and campaigns, or familiarity with the US healthcare patient and provider systems (e. g. medical claims, medications).
• You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference).
• You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing.
• You can write production-level code and work with Git repositories.
• Active Kaggle participant.
• Working experience with SQL.
• Familiar with medical and healthcare data (medical claims, Rx, preferred).
• Conversant with cloud technologies such as AWS or Google Cloud.