Requisition Number: 2021-01-01472-0174-002
Job Title: Manager, Data Science
City: New York
State: NY
Shift: Monday - Friday; 9:00AM - 6:00PM
Hours: 40

Simpson Thacher & Bartlett LLP is a leading global law firm with offices in New York, Beijing, Hong Kong, Houston, London, Los Angeles, Palo Alto, São Paulo, Tokyo and Washington, D.C. Established in 1884, the Firm currently has more than 850 lawyers. On a world-wide basis, the Firm provides coordinated legal advice on the largest and most complex corporate transactions and litigation matters in industries which include financial services, insurance, power and natural resources, consumer products, services, technology, telecommunications, media, pharmaceuticals and healthcare industries. Cross-border finance, banking and bank regulation, mergers and acquisitions, securities issuance and regulation, project and asset based finance, real estate, asset management, joint ventures, taxation, litigation and dispute resolution are important aspects of the Firm’s practice.

Manager, Data Science

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Description/Job Summary

The Manager of Data Science is responsible for driving and delivering quantitative legal and operational analysis for the Firm and ensuring insights are translated into accessible and modern visual solutions. The Manager will conduct hands-on analysis, lead technical resources and work with trusted 3rd parties to deliver Firm-specific insights. The Manager will leverage an array of methodologies to draw deep insights from Firm and external data sources, including the use of statistics, machine learning and text analysis.

The Manager will collaborate extensively with Firm lawyers, colleagues in the Knowledge Management Department, and resources from the Firm’s other functional departments (IT, Finance, HR, etc.). This position will require creative problem solving, analytical rigor and an appreciation for the business and practice of law.

Responsibilities/Duties

  • Collaborate with the Firm’s practice group leaders and knowledge management teams to identify and deliver on opportunities to use data to drive strategic decision making and improve the efficiency and effectiveness of the Firm’s client representations
  • Partner with Firm functional departments (e.g., Finance, Talent, Marketing) to analyze data and develop solutions to support operational objectives
  • Use machine learning and data mining techniques to understand the patterns in large volumes of data, identify relationships, detect data anomalies and classify data
  • Develop predictive and classification models using current and emerging data science methodologies
  • Deploy and operationalize predictive models and integrate findings into business processes
  • Conduct natural language processing analysis, including topic modeling, custom named entity recognition and extraction, text classification and entity relationships and disambiguation
  • Help define and deliver the Firm’s data visualization and reporting strategy
  • Design and deploy highly visual reports and dashboards that surface quantitative insights in forms that are fit-for-purpose, modern and easily accessible
  • Partner with the Firm’s Data Architect to develop end-to-end pipelines for recurring classes of analysis and data-driven solutions
  • Provide input and feedback regarding the Firm’s taxonomies, metadata schemas, data collection methods and storage approaches
  • Provide input and perspective on the Firm’s strategy for tracking, measuring and reporting on the performance of its legal practices
  • Assist in surfacing and supporting concepts for client-facing data solutions that could be productized, providing the Firm with a competitive edge
  • Handle projects on request under the direction of the CKIO, Director of Data Analytics and other executive staff

Required Skills

  • 5+ years of overall experience; at least 2 years in a hands-on data analytics role
  • Experience in the legal field is a significant plus
  • Able to translate business problems to technical logic and solutions
  • Able to communicate complex results clearly to a non-technical audience
  • Experience with statistical programming languages such as Python, R or Julia
  • Experience developing and validating linear and non-linear regression and classification models
  • Familiar with natural language processing; with prior work in libraries such as spaCy, Snorkel, NLTK, and CoreNLP a plus
  • Proactively develops and maintains technical knowledge in emerging data science areas
  • Proficient with SQL
  • Experience using enterprise visualization tools, e.g. MS Power BI, Tableau
  • Familiar with best practices in data design and willing to conduct independent research to stay current on emerging trends in visual design and data storytelling
  • Familiarity with experience management systems (e.g. Foundation Software) and enterprise search (e.g. iManage Insight) a plus
  • Project management experience and a strong commitment to successful project delivery
  • Exposure and experience working in an agile product management and software development environment, with Scrum certification a plus

Required Education

  • Bachelor’s degree required, preferably in mathematics, statistics, computer science, engineering or finance

Preferred Education

  • Master’s degree in data science, computer science, statistics or engineering highly preferred
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Simpson Thacher & Bartlett is committed to a collegial work environment in which all individuals are treated with respect and dignity. The Firm prohibits discrimination or harassment based upon race, color, religion, gender, age, national origin, citizenship status, disability, marital or partnership status, sexual orientation, protected veteran’s status or any other legally protected status. “Gender” includes actual or perceived sex, a person’s gender identity, self-image, appearance, behavior or expression, whether or not that gender identity, self-image, appearance, behavior or expression is different from that traditionally associated with the legal sex assigned to that person at birth. This Policy pertains to every aspect of an individual’s relationship with the Firm, including but not limited to recruitment, hiring, compensation, benefits, training and development, promotion, transfer, discipline, termination, and all other privileges, terms and conditions of employment.