Data Scientist - Azure, AWS, ML
تفاصيل الوظيفة
Responsibilities:
Utilize advanced analytics techniques and machine learning algorithms to extract meaningful insights from large datasets.
Design, develop, and implement end-to-end data science solutions leveraging cloud platforms such as Azure and AWS.
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Develop predictive models, recommendation systems, and other machine learning applications to solve complex business problems.
Implement data preprocessing, feature engineering, and model evaluation techniques.
Work with big data technologies for efficient data processing and analysis.
Stay abreast of the latest trends and advancements in data science, machine learning, and cloud technologies.
Collaborate with data engineers to ensure the availability and quality of data for analysis.
Communicate findings and insights to both technical and non-technical stakeholders through reports, dashboards, and presentations.
Mentor and guide junior members of the data science team.
Requirements:
Minimum 5 years of experience in data science with a focus on machine learning.
Bachelor's degree in Computer Science or a related field; advanced degree (Master's
Proficiency in cloud platforms such as Azure and AWS.
Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Strong programming skills in languages such as Python or R.
Experience with big data technologies (e.g., Spark, Hadoop).
Solid understanding of statistical concepts and experimental design.
Ability to work collaboratively in a team environment.
Excellent problem-solving and analytical skills.
Strong communication and presentation skills.
Preferred Skills:
Industry certifications related to data science and cloud platforms (e.g., Azure Certified Data Scientist, AWS Certified Machine Learning Specialty).
Experience deploying machine learning models into production.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Knowledge of natural language processing (NLP) and deep learning.
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