Hybrid Senior Data Scientist

Posted 3 weeks ago

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About the role

  • Senior Data Scientist at F5 analyzing complex datasets and deploying machine learning models. Collaborating with multiple teams to drive data-enabled decision-making in cybersecurity.

Responsibilities

  • Develop and deploy advanced statistical models and machine learning algorithms
  • Perform exploratory data analysis to uncover trends, patterns, and anomalies in large datasets
  • Build predictive models to forecast key metrics and guide business strategy
  • Design and maintain scalable data and model pipelines
  • Collaborate with data science team and business analysts to understand data needs

Requirements

  • Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field
  • 5+ years in data science, with a proven track record of delivering impactful insights and models
  • Experience with large-scale datasets and distributed computing tools e.g. Snowflake, Azure Data Warehouse, Databricks, and Spark
  • Strong knowledge of SQL and relational databases
  • Proficient in programming languages such as Python, including use of notebooks, tabular data (Pandas, Spark) and integration with LLMs (Langchain, MCPs)
  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, PyMC, Stan)
  • Model development and maintenance (MLFlow), and data lifecycle management
  • Proven ability to optimize model performance for business outcomes
  • Proficiency in LLM prompt engineering

Benefits

  • Competitive salary plus benefits
  • Incentive compensation
  • Bonus
  • Restricted stock units

Job title

Senior Data Scientist

Job type

Experience level

Senior

Salary

$158,400 - $237,600 per year

Degree requirement

Postgraduate Degree

Location requirements

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