Were looking for a Data Researcher to join the AI Research Team and spread our power. In this role, youll push the boundaries of data security and insight extraction in cloud environments. You'll be at the forefront of developing sophisticated methods to classify and secure sensitive data, addressing challenges like unstructured data and document files. Operate at a large scale and collaborate with some of the largest customers in the world.
WHAT YOULL DO
Develop advanced classification tools and methodologies to accurately identify sensitive data stored in cloud service providers like AWS, Azure, and GCP.
Research and analyze sensitive data, including the identification of Personally Identifiable Information (PII) and secrets such as passwords and API tokens, across both structured (e.g., JSON, CSV) and unstructured formats (e.g., code, text).
Identify and assess data security risks and use cases within cloud environments.
Collaborate with data scientists, engineering, and product teams to drive data-driven product decisions for large-scale projects, working closely with our biggest customers.
Leverage Large Language Models (LLMs) and advanced AI technologies to enhance data processing and analytical workflows, improving efficiency and accuracy.
WHAT YOULL DO
Develop advanced classification tools and methodologies to accurately identify sensitive data stored in cloud service providers like AWS, Azure, and GCP.
Research and analyze sensitive data, including the identification of Personally Identifiable Information (PII) and secrets such as passwords and API tokens, across both structured (e.g., JSON, CSV) and unstructured formats (e.g., code, text).
Identify and assess data security risks and use cases within cloud environments.
Collaborate with data scientists, engineering, and product teams to drive data-driven product decisions for large-scale projects, working closely with our biggest customers.
Leverage Large Language Models (LLMs) and advanced AI technologies to enhance data processing and analytical workflows, improving efficiency and accuracy.
Requirements:
Bachelor's or Master's degree in a field related to data science, such as computer science, statistics, or mathematics, or equivalent practical experience.
3+ years of hands-on experience in research and analysis of large datasets.
Proficiency in Python along with experience in using data science libraries and frameworks such as Pandas, NumPy, and Scikit-learn.
Strong understanding of database management systems with expertise in SQL and experience using data warehousing solutions such as Snowflake and BigQuery.
Excellent analytical, problem-solving, and critical thinking skills.
Demonstrated ability to address challenges associated with unstructured data and document files.
High motivation and capability to work both independently and collaboratively within a team.
Excellent English communication skills, both spoken and written.
ADVANTAGE
Experience with LLMs and prompt engineering.
Expertise in creating AI knowledge bases and implementing Retrieval-Augmented Generation (RAG) techniques.
Familiarity with developing agentic workflows to automate data processing and insights.
Bachelor's or Master's degree in a field related to data science, such as computer science, statistics, or mathematics, or equivalent practical experience.
3+ years of hands-on experience in research and analysis of large datasets.
Proficiency in Python along with experience in using data science libraries and frameworks such as Pandas, NumPy, and Scikit-learn.
Strong understanding of database management systems with expertise in SQL and experience using data warehousing solutions such as Snowflake and BigQuery.
Excellent analytical, problem-solving, and critical thinking skills.
Demonstrated ability to address challenges associated with unstructured data and document files.
High motivation and capability to work both independently and collaboratively within a team.
Excellent English communication skills, both spoken and written.
ADVANTAGE
Experience with LLMs and prompt engineering.
Expertise in creating AI knowledge bases and implementing Retrieval-Augmented Generation (RAG) techniques.
Familiarity with developing agentic workflows to automate data processing and insights.
This position is open to all candidates.
