سرپرست علم داده

دیجی پی تهران

منتشر شده 10 ماه پیش

Job Description

  • Mentor and supervise data science aspects of the team.
  • Lead technical design sessions; innovative problem-solving.
  • Document and develop technical solutions aligned with business objectives.
  • Supervise agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
  • Help the team to identify and remove any obstacles or impediments that may affect their progress or productivity, including data-related challenges, technical dependencies, and stakeholder engagement.
  • Provide guidance and support to team members on Agile principles and practices, helping them continuously improve their processes and deliverables.
  • Prioritize projects and tasks and plan the sprints with respect to OKRs.
  • Build, maintain, and improve, deploy new and existing suites of algorithms and their underlying systems.

Requirements

  • Extensive data science experience with super deep knowledge in ML and DL modeling coding capability as this person needs to make designs happen.
  • Familiar with the latest trends and technologies in data science and artificial intelligence.
  • Strong knowledge of statistical analysis.
  • Strong knowledge of Data Science tools (e.g., Numpy, Pandas, Scikit Learn, Tensorflow, and Keras).
  • Knowledge of data engineering concepts (data warehousing, data pipelines, model deployment, etc.)
  • Proficiency with Python and SQL and ability to write complex Python codes and SQL queries.
  • Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience via web-conferencing and at in-person meetings.
  • Exceptional communication and collaboration skills to understand business needs and deliver solutions.
  • Extensive experience with big data platforms (Spark, and Hadoop)
  • Decision-making and planning and organization.
  • Problem-solving and time management skills.
  • Negotiation and supervisory skills.

Employment Type

  • Full Time

Details

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