Job Description:
We are looking for a talented Data Scientist with extensive experience in machine learning and proficiency in Databricks. The ideal candidate will have a strong foundation in machine learning operations (MLOps), regression, classification, and supervised learning techniques. Familiarity with Azure is a plus.
Key Responsibilities:
- Design, develop, and implement machine learning models for various business applications.
- Utilize Databricks for data processing, model training, and evaluation.
- Perform data analysis, feature engineering, and model optimization.
- Deploy machine learning models into production and ensure their scalability and reliability.
- Implement MLOps practices to streamline model deployment, monitoring, and maintenance.
- Conduct regression and classification analyses to derive actionable insights.
- Collaborate with cross-functional teams to align machine learning solutions with business objectives.
- Stay up-to-date with the latest trends and advancements in data science and machine learning.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- Proven experience as a Data Scientist with a focus on machine learning.
- Extensive experience with Databricks for data analysis and model deployment.
- Strong understanding of machine learning algorithms, particularly regression, classification, and supervised learning.
- Experience with MLOps practices and tools.
- Familiarity with Azure cloud services is a plus.
- Proficiency in programming languages such as Python or R.
- Excellent analytical and problem-solving skills.
- Strong communication skills to present technical concepts to non-technical stakeholders.
