Senior Data Scientist, Research and Development

3 days ago


Nellore, Andhra Pradesh, India beBeeDataScientist Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Senior Data Scientist, Research and Development

We are seeking a highly skilled Senior Data Scientist to join our Research and Development team. As a key member of the team, you will be responsible for building and delivering insightful reporting and data-driven solutions.

The ideal candidate will have a strong background in data science and statistics, with experience in working with large datasets. They will also be proficient in programming languages such as Python and SQL, and have a good understanding of machine learning algorithms and statistical modeling.

  • Build, deliver, and continually innovate on PulsePoint's insightful reporting and data-driven solutions;
  • Work on R&D projects for Direct-to-Consumer (DTC) and new Data Products;
  • Help build new Data Products and contribute to Bespoke Segments expansion;
  • Design and define the methodology for measurement products and user identification;
  • Continuously improve the quality of Health Care Professional (HCP) onboarding/targeting/measurement;
  • Audience IQ/DTC product development, Identity graph/Data IQ;
  • Collaborate with internal teams to delight customers with timely and accurate data reporting that meets all requirements;
  • Research and implement new data products or capabilities;
  • Automate data visualization and reporting capabilities that empower users to access data on their own;
  • Synthesize raw data into actionable insights to drive business results;
  • Evaluate and approve additional data partners or data assets to be utilized for identity resolution, targeting, or measurement;

Requirements:

Required Qualifications:

  • 4-5+ years of relevant experience in creating SQL queries from scratch using real business data;
  • Highly proficient knowledge of Excel (pivot tables, VLOOKUP, formulas, functions);
  • Data analysis and manipulation;
  • Python programming language;
  • At least a Bachelor's degree in Business Intelligence and Analytics or closely related field;
  • Knowledge of Distributed Systems, PySpark for large-scale data processing;
  • Experience with Containerization (Docker) and Kubernetes;
  • Proven experience of experimentation methods and Stats modeling in support of product development and optimization;

Preferred Qualifications:

  • ELT experience;
  • Tableau/Looker/PowerBI;
  • Experience with automation;
  • Able to organize large data sets to answer critical questions;
  • Experience in Programmatic/Adtech;
  • Familiarity with health-related data sets;

Selection Process:

  1. Online SQL Test;
  2. Initial Screen;
  3. Hiring Manager Interview;
  4. Data Science Manager Interview;
  5. Interview with Sr. Data Scientists;
  6. Interview with SVP of Data.

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