Data Science Engineer

Position Overview: As a Data Science Engineer, you will play a key role in designing, developing, and implementing data science solutions to extract valuable insights from complex datasets. You will collaborate with cross-functional teams to understand business requirements and contribute to the development of innovative data-driven products and services.

Key Responsibilities:

  1. Data Exploration and Pre-processing:
    • Clean, preprocess, and analyze large datasets to extract meaningful patterns and insights.
    • Collaborate with data engineers to ensure the availability and quality of data.
  2. Model Development:
    • Design, develop, and implement machine learning models and algorithms to solve business problems.
    • Optimize and fine-tune models for performance and accuracy.
  3. Feature Engineering:
    • Conduct feature engineering to enhance the predictive power of models.
    • Collaborate with domain experts to identify relevant features for analysis.
  4. Collaboration and Communication:
    • Work closely with cross-functional teams, including data scientists, analysts, and software engineers, to deliver integrated solutions.
    • Communicate findings and insights to non-technical stakeholders in a clear and understandable manner.
  5. Experimentation and Evaluation:
    • Conduct experiments to test hypotheses and improve model performance.
    • Evaluate the effectiveness of different algorithms and approaches.
  6. Model Deployment:
    • Collaborate with DevOps and software engineering teams to deploy models into production.
    • Monitor and maintain deployed models, ensuring continued accuracy and reliability.


  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience as a Data Scientist or Data Science Engineer in a professional setting.
  • Proficient in programming languages such as Python or R.
  • Strong knowledge of machine learning algorithms, statistical modeling, and data visualization techniques.
  • Experience with tools and frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Excellent problem-solving and analytical skills.

Preferred Skills:

  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with database systems, SQL, and data warehousing.
  • Strong communication skills with the ability to present complex findings to both technical and non-technical stakeholders.
  • Ability to work independently and collaboratively in a fast-paced and dynamic environment.
Job Category: Data Science
Job Type: Full Time
Job Location: pune Remote

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