Lead Data Scientist - Databricks ML experience

ON Data Staffing; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

A leading company is seeking a talented Lead Data Scientist with expertise in Databricks to join a remote team in the United States. The role involves developing state-of-the-art machine learning models and algorithms, collaborating with cross-functional teams, and optimizing model performance. This position offers an exciting opportunity to work with cutting-edge technologies in a fast-paced environment.

Qualifications

• Experience as a Machine Learning Engineer or Data Scientist.
• Strong proficiency in Databricks ML.

Responsibilities

• Collaborate to design scalable machine learning solutions.
• Develop and deploy machine learning models using Databricks ML.

Skills

Machine Learning

Data Analysis

Collaboration

Communication

Education

Bachelor's or Master's degree in Computer Science

Tools

Databricks ML

TensorFlow

PyTorch

scikit-learn

Apache Spark

Job description

Lead Data Scientist - Databricks ML experience

Lead Data Scientist - Databricks ML experience

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Direct message the job poster from ON Data Staffing

ON Data Staffing is currently seeking a talented Lead Data Scientist with expertise in Databricks to join our client's remote team in the United States.

As a key member of our client's Data Science and Machine Learning team, the Databricks ML Engineer will play a crucial role in developing and implementing state-of-the-art machine learning models and algorithms to solve complex business problems. This is an exciting opportunity to work with cutting-edge technologies and make a significant impact in a fast-paced, collaborative environment.

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and design scalable machine learning solutions.
• Develop and deploy machine learning models using Databricks ML and other relevant technologies.
• Conduct thorough analysis of large-scale datasets to extract meaningful insights and drive decision-making.
• Optimize and fine-tune machine learning models for performance and accuracy.
• Stay current with the latest advancements in machine learning and data science to continuously improve our capabilities.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
• Proven experience as a Machine Learning Engineer or Data Scientist, with a focus on building and deploying machine learning models.
• Strong proficiency in Databricks ML and other relevant tools such as TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques.
• Experience working with big data technologies such as Apache Spark is a plus.
• Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting, Information Technology, and Analyst

• Industries

  Business Consulting and Services, IT Services and IT Consulting, and Data Infrastructure and Analytics

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