Data Scientist

Data Scientist with ML experience

Remote

Duration: 6+months

Role Overview:

This role will be responsible for data science and ML Ops on the Databricks platform. This role requires a deep understanding of:

• MLOps processes and design
• Model deployment and reusability
• Data science techniques and tooling
• Orchestration and CI/CD
• Model measurement and experimentation

About the role:

• Use expertise in machine learning, NLP, and other big data techniques to identify and extract insights from data
• Maintain the platform for data science including shared namespaces, and ensure data availability for data science downstream teams
• Design and enhance models with a focus on model performance and scalability
• Develop re-deployable model pipelines
• Manage, maintain, and oversee model pipelines on the Databricks platform
• Ensure models meet required security and compliance guidelines, and PII management
• Adhere to Agile development cycles
• Adhere to version control and SDLC best practices

About you:

• Bring 3+ years of experience in data science
• Hold an advanced degree (MS or PhD preferred) in computer science, engineering, statistics, mathematics, or related field
• Have hands-on experience with and understanding of the following:
  • Databricks
  • MLFlow
  • Strong coding proficiency in Python or other programming languages
  • Classic ML frameworks (scikit-learn/XGBoost)
  • Understanding of deep learning frameworks (TensorFlow/PyTorch)
  • Distributed computing (Spark/Scala)
  • Orchestration tools such as Apache Airflow
  • CI/CD pipelines
  • Agile
  • Git and version control

Regards

Bhaskar Dasegowda

Scottsdale, AZ

P: +1

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