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.

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