Lead Data Scientist - Databricks ML & Gen AI

ON Data Staffing; United States; Remote; USD 80,000 - 720,000; Full time

Job summary

ON Data Staffing seeks a Lead Data Scientist experienced in Databricks and GenAI for a remote position. The selected candidate will join a dynamic team to develop machine learning solutions, optimize models, and leverage big data technologies, all while collaborating in a fast-paced environment.

Qualifications

• Proven experience as a Machine Learning Engineer or Data Scientist focused on deploying ML models.
• Strong proficiency in Databricks ML and relevant tools.
• Excellent communication and collaboration skills.

Responsibilities

• Collaborate with cross-functional teams to design scalable ML solutions.
• Develop and deploy machine learning models using Databricks ML.
• Analyze large datasets for insights that drive decision-making.

Skills

Machine Learning

Databricks

Statistical Modeling

Data Preprocessing techniques

Big Data Technologies

Collaboration

Education

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Direct message the job poster from ON Data Staffing

ON Data Staffing is currently seeking a talented Lead Data Scientist with expertise in Databricks and GenAI 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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