Associate Data Scientist
At Seyfarth, we understand that great people are the key to our success, and we provide the opportunities to match. If you join us, you’ll work with state-of-the-art technology in a friendly and professional environment, and we will continue to invest in your professional development. If you want the freedom to grow at a firm that is invested in your future, keep reading.
THE OPPORTUNITY:
As an Associate Data Scientist, you will work in a rapidly growing and market-leading eDiscovery, Information Governance and Analytics practice. You will gather, structure, and analyze data in a manner that provides insight into its factual significance.
THE DAY-TO-DAY:
On any given day, you will be working with firm leadership, partners, and business colleagues on a variety of requests and projects. You will:
- Write programs to dynamically and reproducibly prepare datasets for analysis or data mining, including reshaping, normalization, aggregation and noise removal
- Write programs and using relevant tools and applications to analyze, summarize and data mine complex data sets
- Create interactive and static data visualizations, dashboards, and spreadsheets to show relevant case data, metrics and/or exposure for technical and nontechnical audiences
- Implement process automation to minimize error-prone manual tasks and increase efficiency
- Implement quality control mechanisms to ensure accuracy and defensibility of work product
- Organize and document code sets to ensure efficient re-utilization and preservation of institutional knowledge
- Identify and define new process improvement opportunities, and aiding in analysis templets
YOU HAVE:
- Bachelor’s degree, preferably in Economics, Statistics, Mathematics, Computer Science, or other quantitative disciplines
- 0-2 years of either academic research or professional experience in an analytical data driven environment
- Experience programming in R in an academic or professional environment dealing with diverse types of data and communicating data insights
- Strong attention to detail with an investigative mindset towards data analysis
- Advanced Microsoft Excel skills
- The ability to work effectively across teams, learn new skills, and thrive in a fast paced and ever-changing environment
- Experience working in a fast paced project-based academic research or professional environment with an ability to manage and meet deadlines and objectives
- Experience displaying data insights in an intuitive manner for technical and non-technical audiences
- Experience with additional platforms/programming languages relevant to data science, including Python, STATA, SAS, SQL, Matlab, etc.
- Experience with data manipulation libraries, including dplyr
- Experience with data visualization tools, especially Tableau