Reed Smith LLP
Reed Smith LLP Philadelphia PA United States
3 weeks ago
US Job Description
Reed Smith is a global relationship law firm with more than 1,700 lawyers in 30 offices throughout the United States, Europe, Asia and the Middle East.
Founded in 1877, the firm represents leading international businesses, from Fortune 100 corporations to mid-market and emerging enterprises. Its lawyers provide litigation and other dispute resolution services in multi-jurisdictional and other high-stakes matters; deliver regulatory counsel; and execute the full range of strategic domestic and cross-border transactions. Reed Smith is a preeminent advisor to industries including financial services, life sciences, health care, advertising, entertainment and media, shipping and transport, energy and natural resources, real estate, manufacturing, technology, and education. For more information, visit reedsmith.com.
Reed Smith is assembling one of the biggest data analytics programs in the legal market, which complements our investments in our new Innovation Lab and our Applied AI team focused primarily on Generative AI. We have worked with our executive leadership to create a roadmap of use cases focused on creating strategic insights related to our clients, lawyers, risk, business opportunities, and global growth. We have constructed an impressive data warehouse and underlying business systems, but we are still building out our full team to mature our data analytics platform. Therefore, this position will be a key member of our data analytics team.
The Data Scientist will be responsible for developing predictive models and algorithms to support business decisions. The ideal candidate will have a strong background in statistics, machine learning, and data analysis, as well as experience working with large datasets. The legal industry, itself, is in the earlier stages of executing data analytics which presents an exciting opportunity with significant potential for growth and development.
We are seeking an experienced Data Scientist who is curious, detail-oriented, and willing to break free from traditional thinking to join our team
• Work with the Director of Client Intelligence and team to progress predictive and prescriptive analytics
• Collaborate with cross-functional teams to identify business problems and develop data-driven solutions
• Collect and interpret large, complex data sets using statistical and machine learning techniques
• Develop predictive models and algorithms to identify trends and patterns in data
• Analyze data to identify patterns, trends, and insights
• Communicate findings and recommendations to stakeholders through reports and presentations
• Challenge assumptions and norms to innovate and create new approaches through data
• Suggest and own new processes or other analytic pursuits that drive interest in data analytic efforts across the firm
• Develop and maintain data infrastructure, including data pipelines and databases
• Monitor model performance and make necessary adjustments
• Stay up-to-date with the latest trends and developments in data science and machine learning
• Ensure data accuracy and integrity, and identify opportunities to improve data quality
• Manage and prioritize multiple projects and deadlines
• All other duties as assigned
If you are a highly skilled and experienced Data Scientist with a passion for data-driven decision-making, we encourage you to apply for this exciting opportunity.
Job functions included are not exhaustive and may be supplemented as necessary. Reed Smith reserves the right to revise or modify job functions at any time.
Education: Master's or Ph.D. degree in Computer Science, Mathematics, Statistics, or a related field
Experience: Required : 5+ years of experience in data analytics, financial systems, business analysis and data visualization. Excellent communication, organization, and prioritization skills. Able to effectively interact with individuals at all organizational levels. Experience in a business environment, working with analysts, storytellers, and business stakeholders to prioritize and tune results.
Skills: Strong programming skills in Python, R, or similar languages. Experience with machine learning frameworks. Proficiency in the Microsoft Office Suite, SQL, and data visualization tools such as Tableau or Power BI (Tableau preferred). Familiarity with Snowflake a plus. Advanced skills with Microsoft Excel, including manipulating large datasets. Attention to detail and a commitment to accuracy. Strong analytical, problem solving, organizational, and communication skills. Flexibility and ability to adapt to constantly changing priorities. Ability to work autonomously. Demonstrated ability to make sound decisions and stay calm under pressure.
Supervisory Responsibilities: No
Equipment To Be Used: Personal computer and other office equipment such as telephone, calculator, fax, machine, copier, scanner, etc.
Typical Physical Demands: Manual dexterity sufficient to operate standard office equipment.
Typical Mental Demands: Able to work effectively in a fast paced environment. Make judgment decisions and adapt to changing work situations. Grasp and apply new ideas. Communicate with various personalities at all levels.
Working Conditions: Works in typical office setting and/or remotely. Occasionally called upon to work hours in excess of your normal daily schedule.
Reed Smith offers a challenging work environment, business casual dress code and a total compensation package that includes a competitive salary, flexible benefits program, tuition assistance, and generous 401 (k) plan.
Reed Smith is an Equal Opportunity Employer. Reed Smith's success depends heavily on the effective utilization of qualified people, regardless of their race, ancestry, religion, color, sex, age, national origin, sexual orientation, gender identity and/or expression, disability, veteran's status, or any characteristic protected by law. As a firm, we adhere to and promote equal employment opportunity for all.
Reed Smith provides reasonable accommodations for persons with disabilities, including in the application and interview process.
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