Über
The Data Scientist is an integral part of Latham's Audit & Advisory team. This role will be responsible for helping to advise on and construct advanced analytics and data science models and insights throughout the firm, while working on data science and advanced analytics projects that serve across functions, departments, and geographies. This role will be located in either our Washington D.C., New York, or Boston office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence. Responsibilities & Qualifications
Other key responsibilities include: 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 We'd love to hear from you if you: 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 And have: 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 Benefits & Additional Information
Successful candidates will not only be provided with an outstanding career opportunity and welcoming environment, but will also be provided with a generous total compensation package with bonuses awarded in recognition of both individual and firm performance. Eligible employees can participate in Latham's comprehensive benefit program which includes: 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 Latham & Watkins is an equal opportunity employer. The Firm prohibits discrimination against any employee or applicant for employment on the basis of race (including, but not limited to, hair texture and protective hairstyles), color, religion, sex, age, national origin, sexual orientation, gender identity, veteran status (including veterans of the Vietnam era), gender expression, marital status, or any other characteristic or condition protected by applicable statute. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. An employer that violates this law may be subject to fines and/or a private right of action for $500 in statutory damages "for each such violation," among other things. Please click here to review your rights under U.S. employment laws. Pay Range: USD $115,000.00 - USD $130,000.00 /Yr.
Sprachkenntnisse
- English
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