Senior Data Model Engineer

7 days ago

Thāne, Maharashtra, India beBeeDataModeler Full time ₹ 60,00,000 - ₹ 1,20,00,000

Key Role: As a Data Model Developer, you will be instrumental in the creation and implementation of cutting-edge data models.

Job Responsibilities:

  • Develop and implement Machine Learning models and algorithms to design and execute data-driven solutions.
  • Precisely process data for analysis, ensuring that datasets are accurate and complete for modeling and higher-level data science initiatives.
  • Contribute to projects involving Deep Learning and General AI, acquiring hands-on experience under the guidance of senior experts.
  • Enhance professional skills through continuous training and practical experience in Python, Machine Learning, and related areas.
  • Collaborate effectively with team members to ensure seamless execution of data science solutions, participating in brainstorming sessions and project discussions.
  • Document methodologies and results accurately, maintaining transparency and reproducibility of data science processes.

Essential Qualifications:

  • Strong academic background in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Deep Learning, and AI.
  • Experience in a data science role, demonstrating practical expertise and strong Python programming skills.
  • Familiarity with Business Intelligence (BI) & Data Engineering concepts and tools.
  • Proficiency in data platforms such as Dataiku is advantageous.

Desirable Skills:

  • Deep understanding of Machine Learning principles and practical experience in Python programming.
  • Knowledge of data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy).
  • Enthusiasm to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills.
  • Excellent analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights.
  • Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems.
  • Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions.

At our organization, we value diversity and strive to create an inclusive environment for all employees.

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