You are looking for a job that will truly engage you. You have an entrepreneurial spirit and can make things happen in a fast-paced startup environment. You want to grow and be challenged, but above all you want to work towards a mission, and for your work to have meaning.

We’re Darrow - a fast-growing legal tech startup with an open, action-based culture unlike any other. We are committed to pursuing our vision of "frictionless justice," using advanced Machine Learning & AI to revolutionize the justice system. Our mission is about justice at scale: imagine walking into work every day knowing that you’re not only advancing your career, but making a positive impact on the world. Darrow has more than 90 team members in Tel Aviv and New York, and is backed by world class investors: Georgian, F2 Venture Capital, Entree Capital, NFX and YCombinator.

Our Research team is growing, and we are looking for a Senior Data Operations to join the team.

We are seeking a Senior Data Operation with legal expertise to join our fast-growing team at Darrow. Our mission is to promote a data-for-justice revolution, utilizing AI and Machine Learning to discover harmful legal violations and secure compensation for millions of victims.

Not Your Typical Legal/Data Role

Our mission is about justice at scale, and we provide our team members with the resources they need to succeed. Imagine walking into work every day knowing that you’re not only advancing your career but making a positive impact on the world. At Darrow, we have created an open, action-based culture unlike any other. Join us and play an integral role in shaping a better future as part of our dynamic and impactful research team.

What Will You Be Doing?

As a legal professional with a passion for data and machine learning, you will manage our data labeling and annotation team, ensuring high-quality data and efficient processes. You will provide legal guidance to our Data Science team, collaborating to shape the future of the justice system through innovative AI solutions.

Responsibilities:

• Oversee and manage the annotators' teams, ensuring timely and accurate data labeling.
• Develop and implement data quality improvement processes.
• Provide legal advice and context to the Data Science team for the development of machine learning algorithms.
• Create and maintain annotation and labeling guidelines for internal and external annotators.
• Analyze and monitor data, providing insights to drive data-driven decisions.
• Lead data quality processes such as data analysis, profiling, monitoring, and cleansing.
• Ensure compliance with legal standards and regulations in data handling.

Requirements:

• LL.B degree.
• Knowledge of best practices in data analysis and familiarity with statistical methods.
• Experience with SQL and Python.
• Advanced problem-solving and project management skills.
• Excellent interpersonal and communication skills.
• Prior experience in managing teams or projects.
• Experience working with Data Science teams is a plus.