Data ScienceMachine Learning Engineer

Job Qualifications

Bachelor's Degree in Computer Science or related field

1. Strong background in statistics, mathematics, and computer science, with a focus on machine learning and data science.
2. Proficiency in programming languages such as Python or R, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
3. Solid understanding of machine learning techniques, such as regression, classification, clustering, natural language processing, deep learning, and reinforcement learning.
4. Experience with data manipulation and analysis using SQL and/or NoSQL databases.
5. Ability to preprocess and clean data, handle missing values, and perform feature engineering.
6. Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to effectively communicate insights.
7. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
8. Strong problem-solving skills and the ability to develop innovative solutions to complex business challenges.
9. Excellent communication skills with the ability to present complex findings in a clear and understandable manner to both technical and non-technical stakeholders.
10. Strong attention to detail, with the ability to work independently and manage multiple projects simultaneously.