Data Science Expert

2 days ago

Delhi, Delhi, India DeepSource Technologies Full time ₹ 20,00,000 - ₹ 25,00,000 per year

The Data Scientist Architect will take the lead in designing and implementing advanced analytics solutions that drive data-driven decision-making across the organization. This role involves creating scalable data architectures, developing machine learning models, and collaborating closely with cross-functional teams to integrate analytics initiatives into business operations. You will play a critical role in architecting data solutions that support innovative analytics at DeepSource Technologies.

Key Responsibilities:

  • Design and oversee the construction of robust data architectures and pipelines to support extensive data analysis and modeling.
  • Lead the development of machine learning algorithms and predictive models tailored to enhance business outcomes.
  • Collaborate with data engineers and other stakeholders to ensure seamless data integration and optimization of data processing workflows.
  • Conduct exploratory data analysis to uncover insights and trends that inform strategic business initiatives.
  • Translate complex analytical results into actionable insights for non-technical stakeholders.
  • Establish best practices for data governance, model validation, and testing in analytics.
  • Stay updated with the latest advancements in data science, machine learning, and artificial intelligence to drive innovation.
  • Mentor and guide junior data scientists and analytics teams to foster a culture of continuous learning and improvement.
  • Document analytics processes, methodologies, and findings for internal reference and reporting purposes.

Requirements

  • Ph.D. or Master's degree in Computer Science, Data Science, Statistics, or related field.
  • 7+ years of experience in data science, machine learning, and analytics roles, with at least 3 years in an architectural or leadership position.
  • Strong expertise in designing and implementing data architectures and workflows for large datasets.
  • Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong programming skills in Python and experience with SQL and databases (e.g., PostgreSQL, NoSQL).
  • Experience in cloud environments and tools (AWS, Azure, or Google Cloud).
  • Ability to communicate complex concepts clearly to a broad audience.
  • Strong analytical and problem-solving skills with a focus on results.
  • Published research papers or significant contributions to open-source projects in the field of data science are a plus.

Benefits

  • Health Insurance
  • Social Insurance

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