Senior Data Scientist — Remote ML Leader & Forecasting

BMC Software, Inc.

New York (NY)

Remote

USD 153,000 - 255,000

Full time

25 hours ago
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Job summary

BMC Software, Inc. seeks a Senior Data Scientist to frame business problems as modeling tasks, build predictive models, and partner with product and engineering to deliver measurable value.

You will apply statistical rigor, experimental design, and reproducible ML practices so models are trustworthy for enterprise use, with collaboration on GenAI features when relevant. This remote-friendly US-based role offers the chance to influence multiple squads and coach other scientists toward consistent

Qualifications

  • 8+ years of Data Science experience.
  • B.Sc. in Machine Learning, Statistics, Data Science, Physics, or related field — or equivalent education and industry experience.
  • Proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow)
  • Knowledge of statistical analysis, hypothesis testing, experimental design, data mining, and machine learning techniques.
  • Experience designing performance metrics and evaluation approaches for predictive ML systems.
  • SQL and modern data platforms; data exploration and visualization.
  • Familiarity with cloud platforms such as OpenShift (OCP) and AWS.
  • Clear communication; ability to work in a multi-tasked, dynamic environment.
  • Track record of multi-team influence - standards, metrics, or practices others adopted.
  • Experience coaching scientists, not only personal delivery excellence.
  • Ability to prioritize a science agenda for an area across initiatives.

Responsibilities

  • Design and develop Machine Learning solutions using statistical analysis, data mining, and classical/modern ML techniques.
  • Build, train, validate, and iterate predictive models (classification, regression, ranking, forecasting, anomaly detection, clustering) against clear business outcomes.
  • Perform feature engineering, exploratory analysis, and experiment design to improve model quality and decision usefulness.
  • Collaborate with domain experts to understand business requirements and formulate data-driven solutions.
  • Define offline and online metrics, holdout strategies, and monitoring signals for model performance and drift.
  • Deliver models to enterprise-grade quality: rigorous, validated, reproducible, and ready for mission-critical use.
  • Support packaging and deployment of models into production with engineering partners; maintain clear handoffs.
  • Partner with AI Engineering and AI Quality when classical models or predictive signals feed GenAI / agentic workflows.
  • Explain complex technical concepts and predictive analytics clearly to technical and non-technical audiences.
  • Lead a DS technical area (e.g. forecasting, anomaly detection, experimentation standards).
  • Set/improve shared modeling, metrics, and experimentation practices across squads.
  • Coach data scientists and raise consistent quality bars.
  • Partner with engineering/platform on reusable feature, evaluation, and productionization patterns.

Job description

BMC Software, Inc. seeks a Senior Data Scientist to frame business problems as modeling tasks, build predictive models, and partner with product and engineering to deliver measurable value.

You will apply statistical rigor, experimental design, and reproducible ML practices so models are trustworthy for enterprise use, with collaboration on GenAI features when relevant. This remote-friendly US-based role offers the chance to influence multiple squads and coach other scientists toward consistent

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