Senior Data Scientist
Sonatype · Software Supply Chain Security
- Location: Hyderabad (India)
- Work arrangement: hybrid
- Employment type: Full Time
- Seniority: senior
- Posted:
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
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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