Data Scientist at CrossBoundary

Primary Responsibilities

• Management of data sets relevant to individual projects
• Analysis of historical data to identify past and current patterns as well as causal relationships
• Creation of predictive models, “What-if” scenarios, and time-series predictions
• Design of recommendation algorithms to select optimal choices from universe of options
• Co-teaming with advisory and other teams and driving them to connect the data to valuable insights
• Management of relationships with stakeholders to create trust in the project deliverables

Qualifications

The ideal candidate will have the following skills and qualifications:

• 3 years of work experience (or applicable post-graduate education), with 1 year of experience working in high-caliber data science or consulting organizations
• Experience working in developing countries will be regarded favorably
• Expertise in at least one data-focused programming language (e.g.: Python, R, MATLAB)
• Expertise in advanced statistical applications: non-parametric regression and classification, Bayesian methods, etc.
• Expertise in visualization libraries (e.g.: Plotly, ggplot2, Tableau)
• Experience in version control (e.g.: Git/GitHub) is a plus
• Experience manipulating and transforming large data sets (e.g.: SQL, Spark, HDFS) is a plus
• Experience in numerical optimization (e.g.: gradient-based techniques and MILP) is a plus
• Experience with GIS tools (e.g.: ArcGIS, QGIS) is a plus
• Ability to work independently and to learn new skills with minimal supervision
• Excellent presentation skills; ability to communicate clearly and effectively with diverse audiences