
Data Scientist Specialist
4 days ago
Job Title: Data Scientist Specialist
We are seeking a highly skilled data scientist to join our team. The ideal candidate will bring a strong background in developing and deploying machine learning models, extracting actionable insights from complex datasets, and building scalable, data-driven solutions.
In this role, you will:
- Design and implement advanced AI/ML models to support strategic business objectives.
- Write robust engineering-grade code that integrates seamlessly into production environments.
- Work closely with cross-functional teams to turn data into insights and drive measurable business outcomes.
Key Responsibilities:
The right person will develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.
You should extract insights from complex data and communicate findings to stakeholders.
A great collaborator will work closely with engineers to build scalable and efficient data pipelines.
The successful candidate will develop and maintain RESTful APIs to serve machine learning models.
You will work with databases, including data modeling, schema design, and query optimization.
Required Skills:
1. 5+ years of experience in data science and machine learning.
2. Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.
3. Experience with machine learning model development, deployment, and maintenance.
4. Strong understanding of data structures, algorithms, and software design patterns.
5. Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
6. Experience with GitHub, Docker, and cloud platforms like AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.
7. Familiarity with RESTful API design and development.
8. Experience with real-time and batch processing systems.
Benefits:
We offer:
1. Competitive salary and benefits package.
2. Opportunity to work on complex and challenging projects.
3. Collaborative and dynamic work environment.
4. Professional growth and development opportunities.
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