Associate Data Scientist - Hybrid Opportunity

Company:  Seyfarth Shaw LLP
Location: Chicago
Closing Date: 26/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

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:

  1. Write programs to dynamically and reproducibly prepare datasets for analysis or data mining, including reshaping, normalization, aggregation and noise removal.
  2. Write programs and use relevant tools and applications to analyze, summarize and data mine complex data sets.
  3. Create interactive and static data visualizations, dashboards, and spreadsheets to show relevant case data, metrics and/or exposure for technical and non-technical audiences.
  4. Implement process automation to minimize error-prone manual tasks and increase efficiency.
  5. Implement quality control mechanisms to ensure accuracy and defensibility of work product.
  6. Organize and document code sets to ensure efficient re-utilization and preservation of institutional knowledge.
  7. Identify and define new process improvement opportunities, and aid in analysis templates.

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.

What We Provide

Seyfarth provides competitive salary and benefits at all levels, and our culture embraces the entrepreneurial spirit of its professionals like no other firm. Our professional staff are a collaborative team, helping to define the unique client experience offered by the firm. We understand that it takes more than attorneys to build a successful legal practice; everyone participates in our commitment to excellence.

We are also proud to be an influential leader in inclusion and diversity. The firm has been recognized for our efforts by the Human Rights Campaign and the Minority Corporate Counsel Association. We are Mansfield 5.0 certified, a reflection of our ongoing commitment to advancing candidates from underrepresented groups.

More About Seyfarth

With more than 900 lawyers across 18 offices, Seyfarth Shaw LLP provides advisory, litigation, and transactional legal services to clients worldwide. Learn more about The Seyfarth Experience at .

Seyfarth Shaw is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, military and veteran status, gender identity or expression, genetic information, change of sex or transgender status, genetic information or any other basis protected by federal, state or local law.

If you would like more information about your EEO rights as an applicant under the law, please click EEO is the LAW and the Supplement poster.

This position is based in Chicago, IL 60606.

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