Sr. Data Scientist

What You ll Do:

As a Sr. Data Scientist, you will work closely across DeepIntent Data Science teams located in New York City, India, and Bosnia. The role will focus on building predictive models, implement data drive solutions to maximize ad effectiveness. You will also lead efforts in generating analyses and insights related to measurement of campaign outcomes, Rx, patient journey, and supporting evolution of DeepIntent product suite. Activities in this position include developing and deploying models in production, 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.

• Explore ways to to create better predictive models
• Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights
• Explore ways of using inference, statistical, 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

Who You Are:

• Bachelor s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, OR, or Data Science. Graduate degree is strongly preferred
• 5+ years of working experience as Data Scientist or Researcher in digital marketing, consumer advertisement, telecom, or other areas requiring customer level predictive analytics
• Advanced proficiency in performing statistical analysis in Python, including relevant libraries is required
• Experience working with data processing , transformation and building model pipelines using tools such as spark , airflow , docker
• You have an 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, 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