Required Data Scientist Team Manager
A day-to-day role as a Team Manager includes:
Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:
Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.
A day-to-day role as a Team Manager includes:
Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:
Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.
Requirements:
Passionate about data and problem-solving.
Holds an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related field.
Has 3+ years of experience developing machine learning and statistical algorithms in a production environment.
Brings 1+ years of people management experience – Must
Strong experience with Big Data and ML production pipelines (a strong advantage).
Familiarity with the web, internet, app, or online industry (an advantage).
Excellent interpersonal communication skills.
Passionate about data and problem-solving.
Holds an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related field.
Has 3+ years of experience developing machine learning and statistical algorithms in a production environment.
Brings 1+ years of people management experience – Must
Strong experience with Big Data and ML production pipelines (a strong advantage).
Familiarity with the web, internet, app, or online industry (an advantage).
Excellent interpersonal communication skills.
This position is open to all candidates.
