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Senior Data Scientist, Analytics R&D - Remote

Posted 3 days ago
Data Analysis
Full Time
India

Overview

The Senior Data Scientist will play a crucial role in PulsePoint's Data & Analytics team, driving innovation through data-driven solutions and insights.

In Short

  • Build and deliver insightful reporting and data solutions.
  • Contribute to R&D projects for Direct-to-Consumer (DTC) initiatives.
  • Develop new data products and expand bespoke segments.
  • Design methodologies for measurement products.
  • Improve quality of healthcare professional onboarding and targeting.
  • Collaborate with teams for accurate data reporting.
  • Automate data visualization and reporting capabilities.
  • Synthesize raw data into actionable insights.
  • Evaluate additional data partners for identity resolution.
  • Act as a subject matter expert for internal teams.

Requirements

  • 4-5+ years of experience in data science and analytics.
  • Proficiency in SQL and data manipulation.
  • Strong knowledge of Excel, including pivot tables and functions.
  • Experience with Python and PySpark for data processing.
  • Understanding of distributed systems.
  • Experience with Docker and Kubernetes.
  • Bachelor’s degree in a related field.
  • Ability to work remotely during specified hours.

Benefits

  • Flexible remote working environment.
  • Opportunities for professional growth and development.
  • Engaging and innovative company culture.
PulsePoint logo

PulsePoint

PulsePoint is a leading technology company that leverages real-world data in real-time to optimize campaign performance and transform health decision-making. By utilizing proprietary datasets and methodologies, PulsePoint targets healthcare professionals and patients with exceptional accuracy, delivering outstanding results for its clients. As part of Internet Brands, a KKR portfolio company and owner of WebMD Health Corp, PulsePoint is at the forefront of innovation in the health sector, with a dedicated Data & Analytics team driving its mission to revolutionize health decisions through data.

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