Working with team members and independently to execute data science and advanced analytics solutions that provide answers to key business problems and ultimately drive actions for stakeholders throughout the organization
Aggregating data from a variety of non-server-based sources, identifies new sources, and streamlines collection and processing where possible
Applying knowledge of statistics, predictive modeling, and advanced mathematics to highlight patterns, identify trends, predict future outcomes, answer key business questions, and make valuable discoveries from given non-server data sets
Summarizing complex findings and advice for stakeholders of varying levels of analytical knowledge so that insights are easily digestible and actionable
Promoting effective work practices, working as a team member, and showing respect for co-workers
Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that Latham & Watkins retains
Requirements
A Bachelor’s degree or equivalent in Data Science, Statistics, Math, Economics or related field
A minimum of three (3) years’ relevant work experience in data science, data consulting, or applied statistics
Demonstrate strong knowledge of advanced statistical techniques and predictive modeling and experience with proper applications and interpretations of results (i.e. clustering, regression analysis, random forest, etc.)
Possess the ability to accurately perform and comprehend results of advanced analytics and modeling techniques and communicate data findings to senior management
Exhibit proficiency with Python
Tech Stack
Python
Benefits
Healthcare, life and disability insurance
A generous 401k plan
At least 11 paid holidays per year, and a PTO program that accrues 23 days during the first year of employment and grows with tenure
Well-being programs (e.g. mental health services, mindfulness and resiliency, medical resources, well-being events, and more)
Professional development programs
Employee discounts
Affinity groups, networks, and coalitions for lawyers and staff