Lead Data Scientist - Databricks ML experience

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

Job summary

An innovative staffing firm is looking for a talented Lead Data Scientist to join a dynamic remote team in the United States. This role involves leveraging Databricks ML expertise to develop cutting-edge machine learning models that address complex business challenges. As a key member of the Data Science and Machine Learning team, you will collaborate with cross-functional teams to design scalable solutions, conduct thorough analyses of large datasets, and optimize models for performance. This is a unique opportunity to work with advanced technologies and make a significant impact in a fast-paced environment. If you're passionate about data science and eager to drive innovation, this role is for you.

Qualifications

• Expertise in Databricks and machine learning model deployment.
• Strong background in statistical modeling and data analysis.
• Experience in big data technologies is a plus.

Responsibilities

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

Skills

Databricks ML

Machine Learning

TensorFlow

PyTorch

scikit-learn

Statistical Modeling

Data Preprocessing

Big Data Technologies

Apache Spark

Communication Skills

Education

Bachelor's in Computer Science

Master's in Computer Science

Degree in Engineering

Degree in Mathematics

Tools

Databricks

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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