Senior Data Scientist
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
Excellent prospect in a cutting-edge AI firm, emphasizing professional development, competitive compensation, and innovative project engagement.
- Involvement in meaningful AI/ML projects.
- Flexible remote work with competitive salary and benefits.
- Strong focus on career advancement and innovation.
- Requires experience in data science and machine learning.
Pros
- Meaningful work with AI initiatives and emerging technologies.
- Dynamic projects allowing for creativity and innovation.
- Good earning potential supported by competitive compensation.
Cons
- High expectations regarding production-level AI solutions.
- Possibly challenging environment due to evolving AI landscape.
- Candidates may need extensive experience and training.
Who it's for
Senior • Fully remote
Good fit
- Senior data scientists with expertise in machine learning.
- Professionals committed to advancing AI projects.
- Individuals who adapt quickly to new technologies.
Not recommended for
- Entry-level candidates lacking relevant experience.
- Individuals seeking predictable job duties.
- Those averse to rapidly evolving tech environments.
Motivation fit
Key skills
About the job
Responsibilities
- Assume ownership of multiple AI/ML solutions and features and deliver value to customers.
- Conduct data discovery of big data sources to identify potential applications and address specific problems.
- Design, implement, and guide end-to-end machine learning pipelines from data processing to orchestration and MLOps.
- Think creatively about complex problems and deliver technological innovation.
- Collaborate with others via open discussions, Design Reviews, and Code Reviews.
Requirements
- M.Sc. in Computer Science, Electrical Engineering, or Mathematics.
- 6+ years expertise delivering multiple and scalable ML solutions to production.
- Experience in data science tools and libraries including PyTorch, TensorFlow, or Keras.
- Experience in data visualization and data exploration.
- Experience writing code in Agile, CI/CD-based production environments.
- Experience working with Big data technologies such as Kafka, Spark, OpenSearch, Parquet, Avro, Delta Lake, or Iceberg.
- Good knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, and RAG systems.
- Strong communication and collaboration skills.
Preferred Qualifications (Nice to Have)
- Experience in Cyber security solutions is a big advantage.
- Experience in graph based and formal verification methods is a big advantage.
About the Company
Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.
Category
AI & Machine Learning
