About the job
Join us at DemandMatrix as a Lead Data Scientist, where you will spearhead a talented team dedicated to uncovering insights hidden within extensive datasets. Your mission will be to leverage these insights to enhance our decision-making processes and improve our product offerings. Collaborate with our data scientists to drive initiatives focused on advanced data mining techniques, statistical analysis, and the development of high-quality predictive systems. This role is pivotal in the technographics domain, addressing challenges such as the buyer's journey and Technology Adoption Models (TAM).
Key Responsibilities:
- Lead CRISP-DM projects with a team of 3 data scientists, focusing on:
- Feature selection, classifier building and optimization (including logistic regression and RF-based propensity models), and developing recommendation systems using machine learning methodologies.
- Utilize cutting-edge data mining techniques to automate scoring processes, enhance recommendation and propensity modeling algorithms, and expand feature sets.
- Integrate third-party data sources when necessary to enrich company data.
- Improve data collection processes to capture relevant information for analytical frameworks.
- Ensure data integrity through processing, cleansing, and verification while performing comprehensive exploratory data analysis (EDA).
- Conduct ad-hoc analyses and present findings in an understandable format.
- Create and monitor recommendation and propensity models, adjusting for concept drift as needed.
