Data Scientist

1 week ago


Delhi, Delhi, India Golden Eagle IT Technologies Pvt Ltd. Full time

Role Description :


As a Senior Data Scientist specializing in Machine Learning and Deep Learning at Golden Eagle IT, you will play a crucial role in driving data-driven decisions and developing advanced analytical solutions.

Leveraging your expertise in statistical analysis, predictive modeling, and artificial intelligence, you will collaborate with cross-functional teams to extract insights from complex data sets and develop scalable machine learning algorithms.

The ideal candidate will have 3 to 5 years of experience in data science, with a strong background in machine learning, deep learning, and AI.


Responsibilities :

  • Conduct endtoend 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 nontechnical 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 handson 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 scikitlearn.
  • 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 problemsolving skills and the ability to work effectively in a fastpaced environment.
  • Solid communication and interpersonal skills, with the ability to collaborate effectively with crossfunctional teams.
  • Demonstrated track record of delivering impactful data science solutions in a business setting.
  • Experience with natural language processing (NLP) and computer vision is a plus.
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