Data Science Engineer

Mount Talent Consulting
Posted on
Mount Talent Consulting logo
Experience
12 - 22 yrs
Job Location
Pune, India
Vacancy
1
Designation
Data Science Engineer
Job Type
ONSITE

Job Description

Job Summary:
  • We are seeking a talented Data Science Engineer to help us unlock the power of our data.
  • This role is at the exciting intersection of data engineering and data science, focusing on building the infrastructure and tools needed for advanced analytics.
  • You will design and implement data pipelines, develop machine learning models, and contribute to a data-driven culture where insights lead to action.
  • The ideal candidate is a full-stack data scientist who can both build and deploy models.

    Key Responsibilities :
  • - Design, build, and maintain scalable data pipelines and ETL processes.
  • - Develop, train, and deploy machine learning models to solve complex business problems.
  • - Collaborate with data scientists, engineers, and business stakeholders to translate business problems into data science projects.
  • - Perform exploratory data analysis to gain insights and identify new opportunities.
  • - Write high-quality, production-ready code in Python and SQL.
  • - Monitor and optimize the performance of models and data pipelines in production.

    Required Qualifications:
  • - Master's or PhD in Computer Science, Data Science, Statistics, or a related field.
  • - 4+ years of experience in a data science or data engineering role.
  • - Strong proficiency in Python and SQL.
  • - Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • - Experience with big data technologies (e.g., Spark, Hadoop, Databricks).

    Preferred Qualifications:
  • - Experience with cloud platforms for data science (AWS, Azure, GCP).
  • - Experience with MLOps tools and practices.
  • - Experience with data visualization tools (e.g., Tableau, PowerBI).

    Key Competencies:
  • - Analytical Skills: Ability to analyze complex data and extract meaningful insights.
  • - Innovation: Passion for exploring new algorithms and technologies to solve business problems.
  • - Problem-Solving: Focuses on delivering value by solving business problems with data.
  • - Collaboration: Works effectively in a cross-functional environment.

    • No Referrers Available

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