Senior Data Scientist

5 days ago


Indore, Madhya Pradesh, India Golden Eagle IT Technologies Pvt Ltd. Full time

Job Title: Senior Data Scientist

Job Summary:

We are seeking a talented Senior Data Scientist to join our team at Golden Eagle IT Technologies Pvt Ltd. As a Senior Data Scientist, you will play a crucial role in driving data-driven decisions and developing advanced analytical solutions.

Key Responsibilities:

  • Conduct end-to-end data analysis and develop predictive models using advanced machine learning techniques.
  • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
  • Design and implement scalable algorithms for data preprocessing, feature engineering, and model training.
  • Explore and evaluate emerging technologies and methodologies in machine learning and deep learning.
  • Work closely with engineers to deploy models into production and monitor their performance.
  • Conduct thorough testing and validation to ensure the robustness and reliability of developed models.
  • Communicate findings and insights to technical and non-technical stakeholders through clear and concise presentations and reports.
  • Mentor junior members of the team and contribute to the overall growth and development of the data science practice.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 3 to 5 years of hands-on experience in data science, with a focus on machine learning and deep learning.
  • Proficiency in programming languages such as Python, R, or Scala, along with experience in using libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of statistical techniques and experimental design.
  • Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving skills and the ability to work effectively in a fast-paced environment.
  • Solid communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
  • Demonstrated track record of delivering impactful data science solutions in a business setting.

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