Data Operation Specialist

We are looking for a Data Operation Specialist with legal expertise to join our fast-growing team; to help us promote our data-for-justice revolution. We developed a platform that uses AI and Machine Learning to discover harmful legal violations, securing compensation for millions of victims.
Who Are You?You are a highly motivated, organized, and process-oriented person, ready to put your skills to work. You are a team player, open-minded, and collaborative. You have an entrepreneurial spirit and can make things happen in a fast-paced startup environment.
Not Your Typical Legal/Data RoleOur mission is about justice at scale, and we provide our team members with the resources they need to get the job done. 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 our mission of 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 take the lead on our data labeling and annotation efforts and drive data quality improvement processes. With your expertise, you will provide legal guidance to our Data Science team, and together partner to shape the future of the justice system through innovative AI. 

Responsibilities:

•  Label and annotate legal data for data science and machine learning projects
• Assist with the development of machine learning algorithms by giving legal advice and context to our data scientist.
• Write annotation and labeling guidelines for external labels.
• Analyze and monitor data and provide insights on data-driven decisions.
• Lead data quality processes such as data analysis, profiling, monitoring, and cleansing to drive data quality improvements.

Requirements:

• LL.B degree
• Knowledge of best practices in data analysis and familiarity with statistical methods
• Experience with SQL and Python
• Advanced problem-solving skills
• Project management skills
• Excellent interpersonal and communication skills
• Experience as a data analyst/data quality analyst  -  an advantage