Lead Data Scientist - Remote Enterprise ML & Production

BMC Software, Inc.

United States

Remote

USD 176,000 - 293,000

Full time

6 days ago
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Job summary

BMC Software, Inc. is seeking a Lead Data Scientist to join the AMI team in the United States. You will frame business problems as modeling tasks and partner with product and engineering to deploy high-impact predictive models.

Hands-on ML, statistical modeling, and productionization will be core. You will collaborate on GenAI features while focusing on traditional ML and enterprise-grade analytics to drive measurable value.

Qualifications

  • 12+ years of data science experience.
  • Proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow).
  • Experience designing performance metrics and evaluation approaches for predictive ML systems.

Responsibilities

  • Design and develop Machine Learning solutions using statistical analysis and ML techniques.
  • Build, train, validate, and iterate predictive models against clear business outcomes.
  • Collaborate with domain experts to understand requirements and formulate data-driven solutions.
  • Define offline and online metrics, holdout strategies, and monitoring signals for model performance.
  • Deliver models to enterprise-grade quality and productionize with engineering partners.

Skills

Data science
Python
SQL
Cloud platforms (OpenShift/AWS)
Communication

Education

Master’s degree preferred in ML/Statistics/Data Science
Bachelor’s degree in a quantitative field

Tools

Pandas
NumPy
scikit-learn
PyTorch or TensorFlow

Job description

BMC Software, Inc. is seeking a Lead Data Scientist to join the AMI team in the United States. You will frame business problems as modeling tasks and partner with product and engineering to deploy high-impact predictive models.

Hands-on ML, statistical modeling, and productionization will be core. You will collaborate on GenAI features while focusing on traditional ML and enterprise-grade analytics to drive measurable value.

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