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Data Scientist
5 months ago
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 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.
- Experience with natural language processing (NLP) and computer vision is a plus.