Data Scientist

Profile

Data Scientist

The candidate will be responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete high level firm projects and assist with making informed business decisions. Will work with firm stakeholders to identify opportunities for leveraging company data to drive business solutions. Locate and define new process improvement opportunities. Create operational predictive models using current and emerging methodologies in data science. Use machine learning and data mining techniques to understand the patterns in large volumes of data, identify relationships, detect data anomalies and classify data sets. Assess data quality and define data processing business rules for cleansing, aggregation, enhancement, supporting analysis and predictive modelling activities. Design and build algorithms and predictive models using a variety of techniques. Deploy predictive models and integrate findings into business processes. Present complex analysis results tailored to different audiences in a highly consumable and actionable form, including by using data storytelling techniques. Special projects and duties, as assigned. Bachelor's degree in a quantitative discipline is required. Must have 5+ years of direct analytics experience. Should have proficient understanding and usage of relational SQL (e.g. Oracle, SQL Server, PostgreSQL) databases and data structures. Proficiency with programming languages such as Python is required. Experience using visualization tools is needed. Ability to interact directly with non-technical client stakeholders and act in a business-to-technical translation role is essential.

Additional Information

Req. #: 1306BR

Company info

Faegre Drinker Biddle & Reath LLP
311 S. Wacker Drive Suite 4400
Chicago
Illinois
United States 60606-6622
Website : https://www.faegredrinker.com/en/