Data Scientist

Overview In this role you will leverage large data sets to uncover opportunities to improve business outcomes and build models that guide strategic decisions. You will collaborate with internal stakeholders to scope projects, develop predictive models, and test actions to optimize client and firm results. You’ll apply AI and data science methods to diverse business areas, from product development to marketing, while establishing best practices for data analysis and reporting. This position offers cross-functional collaboration and impact across a leading global law firm. Compensation / Benefitsmedical, dental, and vision insurance401(k) retirement planhybrid work arrangementcompetitive compensation ResponsibilitiesIdentify opportunities to leverage organizational data to drive business solutionsPrioritize, scope, and manage data science projects for internal stakeholders and clientsMine and analyze data to optimize product development, marketing techniques, and business strategiesAssess new data sources and gathering techniques for quality and usefulnessDevelop custom data models and algorithms for analysisUse predictive modeling to enhance client opportunities and business outcomesWrite programs and analyze large datasets to solve complex problemsDevelop testing frameworks and evaluate model qualityCoordinate with cross-functional teams to implement models and monitor resultsEstablish best practices for data analysis and reporting Key requirementsSpecialization in machine-learning, artificial intelligence, cognitive science or data science preferredProven experience with advanced ML algorithms and statistics (regression, clustering, neural networks, etc.)Proficiency with Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, Jupyter; knowledge of probability, statistics, hypothesis testing, ML, NLP, data visualizationExperience with Big Data tools (Hadoop, Azure) and data pipelinesExperience in a professional services or law firm is preferredAdept with agile methodologies and building data science pipelinesStrong presentation skills and business acumen; ability to communicate insights to non-technical audiencesself-drivencuriouscreativemachine learningdata modelingPython