
Senior Data Scientist, Research and Development
3 days ago
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:
- Online SQL Test;
- Initial Screen;
- Hiring Manager Interview;
- Data Science Manager Interview;
- Interview with Sr. Data Scientists;
- Interview with SVP of Data.
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