Data Scientist - Machine Learning/Deep Learning

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.

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