Senior Data Scientist

Sonatype · Software Supply Chain Security

Job description

Position:
Senior Data Scientist

Company:
Sonatype

Location:
India, Hyderabad

Employment type:
Not Specified

Work Arrangement:
Hybrid

Short Summary:
Sonatype is seeking a Senior Data Scientist to join their AI & Data Science team, focusing on developing machine learning models to enhance security across their platform.

Responsibilities:
- Own the end-to-end development of machine learning models, from research and prototyping through deployment and monitoring
- Explore and apply generative techniques (e.g., GANs, VAEs, LLMs) for fraud detection, anomaly detection, and behavioral analysis
- Design and implement experiments to evaluate model performance, reliability, and generalization
- Partner with data engineers to build scalable pipelines for data collection, preprocessing, and feature engineering
- Conduct exploratory data analysis and statistical modeling to extract insights from structured and unstructured data
- Work closely with product and domain experts to frame problems, translate requirements, and identify impactful opportunities
- Stay current on research advancements and assess how emerging methods (e.g., LangChain, HuggingFace models) can improve our platform
- Present findings clearly to stakeholders—both technical and non-technical—and drive data-driven decision making
- Mentor junior team members and contribute to the technical growth of the data science function

Requirement:
- Minimum 8+ years of experience in applied data science, machine learning, or AI research
- Strong foundation in computer science, mathematics, or a quantitative discipline
- Deep experience in generative modeling, deep learning architectures, and anomaly detection
- Strong Python skills and proficiency with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Proven success developing models in production settings with large-scale or noisy data
- Strong grasp of evaluation metrics, cross-validation, and best practices for building trustworthy models
- Hands-on experience with Jupyter or Databricks notebooks
- Excellent problem-solving and communication skills, with the ability to simplify complexity

Benefits:
- Autonomy + Impact: Lead innovative AI work that directly secures millions of developers
- Modern Stack: Work with top-tier tools like Databricks, HuggingFace, and AWS SageMaker
- Collaborative Culture: Join a team that values trust, ownership, and continuous learning
- Diversity and inclusion working groups, parental leave, and flexible working practices

Skills

  • databricks
  • deep_learning
  • jupyter
  • ml
  • python
  • pytorch
  • scikit_learn
  • tensorflow

Languages

EN

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