About the job
Join our dynamic Data Science team as a Module Lead, where you'll leverage your analytical expertise and business acumen to provide vital insights to our Product and Management teams. Your role will be instrumental in driving product development by utilizing our extensive user data sets to enhance existing offerings and uncover relationships within the data to inform the creation of new products.
ABOUT THE TEAM
The Data Science department at livecareer is dedicated to identifying patterns and trends within data sets to generate actionable insights. Our team is responsible for developing predictive algorithms and data models, enhancing data quality and product offerings through machine learning techniques. We collaborate closely with various teams, including Engineering, Portals, BI, Product, and Legal. Current projects involve natural language processing and machine learning, focusing on resume parsing, ranking, summary generation, data quality scoring, content generation, job recommendations, and conversion analysis. We continuously explore cutting-edge methods to stay ahead in technology.
KEY RESPONSIBILITIES
- Lead data science projects involving NLP, large language models, predictive modeling, statistical analysis, and machine learning.
- Utilize our diverse user data sets to conduct research, develop models, and create data products in collaboration with Development & Product teams.
- Design scalable data systems in partnership with system architects, employing machine learning techniques to improve user experience.
- Work effectively with cross-functional teams to deliver comprehensive products and features.
- Manage multiple tasks and adjust priorities according to evolving project needs.
- Estimate project efforts, identify risks, and adhere to project timelines.
- Conduct review meetings to ensure timely resolution of outstanding issues.
- Mentor and coach data scientists, providing technical leadership and fostering their development.
- Maintain a strategic overview to identify broader implications for the team and product.

