Data Science Manager

1 week ago

Bengaluru, Karnataka, India SatSure Full time

Responsibilities :
Build, Lead, and Manage a team of ML researchers, Data Scientists, and Geospatial and Remote Sensing experts working in the Agriculture domain, providing guidance and mentorship

  • Defining career paths for team members and helping them grow with regular coaching and mentoring.
  • Foster a collaborative and innovative team culture, encouraging knowledge sharing and professional development.

Must-Have :

  • 5+ years of working experience in DL/ML/Data science/Computer Vision.
  • 2+ years of experience in leading a team of data scientists/ machine learning engineers.
  • Statistical knowledge along with great proficiency in Python.
  • Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees, and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs
  • Experience combining user research and data science methodologies across multiple products within the business unit.
  • Experience in developing advanced computer visionbased deep learning models to tackle complex challenges.
  • Must have delivered multiple data science product(s) in production.
  • Bachelor's / Master's degree in Computer Science Engineering, Data Science, Deep Learning / Machine Learning preferred.

Good-to-Have :

  • Experience in developing computer visionbased machine learning and deep learning models for agricultural applications, utilizing remote sensing data.
  • Experience in leading a team of geospatial engineers to solve challenging problems preferably in the agriculture domain.

Competencies :

  • Excellent communication skills that enable you to work crossfunctionally with business folks, product managers, and technical experts, building solid relationships with a diverse set of stakeholders.
  • Great at strategic planning, balancing stakeholders, and translating product requirements into technical.
  • Vast analytical problemsolving capabilities & experience.
  • Strong leadership and communication skills.
  • Ability to work crossfunctionally.
  • Bias for action.
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