Thomson Reuters is looking to solve the problem of managing, understanding, and analyzing in-house and customer data, including text mining, developing predictive systems, risk scoring, creating efficient algorithms, and data quality improvement.
Requirements
- Programming skills in one or more major programming languages (Python/R/Java)
- A good understanding of distributed computing concepts
- Excellent understanding of ML, NLP, and statistical methodologies
- Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies (preferred, but not required)
- Big Data analytics experience (preferred, but not required)
- Previous experience with data modeling for graphs (preferred, but not required)
- Experience facilitating and gathering input from subject matter experts
Responsibilities
- Define, manipulate, aggregate and use both structured and unstructured “big data” in order to support descriptive and predictive analytics across the businesses.
- Collaborate with scientists, product groups and content groups to perform “big data” aggregations, symbology mapping, and manipulations of important data-sets
- Perform statistical (and machine learned) analyses on data to serve business purposes
- Narrate stories (sometimes to a non-technical audience) about our content and processes by data analysis and visualization
- Define and develop software for the analysis and manipulation of large and very large data-sets
- Guide the architecture of “big-data” business processes with an eye towards robustness, parsimony and reproducibility (at senior levels)
- Working with interdisciplinary engineering and research teams on designing, building and deploying data analysis systems for large data sets.
Other
- A bachelor’s or master’s degree in a quantitative field (e.g., statistics, computer science, mathematics physical/biological sciences, or GIS)
- 3-5 years of experience with data cleaning, analysis, programming, and reporting of results to internal or external stakeholders
- Ability to obtain and maintain a U.S. national security clearance
- Strong planning, time management, and organizational skills
- A team player / self-starter mentality with the ability to work using own initiative
