Job Description
CrossBoundary is recruiting a full-time Data Scientist. We are seeking candidates with proven skills in managing large data sets; applying statistics, machine learning, and other techniques to drive towards meaningful insights; and presenting these insights to varied stakeholders.
CrossBoundary is not a development firm and is not seeking typical development skills. As a Data Scientist, you will be a part of a cross-disciplinary team that has the potential to create a significant positive impact on underserved communities. You will work with data sets of vastly varying size, granularity, and quality and connect that information to concrete recommended actions. Data Scientist candidates should have at least 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.
Who You Are

A self-starter who is passionate about creating lasting change in frontier markets
Seeks to take on new types of work, even without prior experience/direct supervision
Shows willingness to work, travel, and live in a sometimes-challenging environment
Has comfort with ambiguity and an ability to operate effectively in a changing context
Can build strong relationships with clients and colleagues in stressful environments
Applies a “hacker mindset” towards challenges and unsolved problems

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