Data Scientist

Data Scientist

**CrossBoundary Career Page**

Job Description

Help Us Build New Markets

We are not a development firm and we are not looking for typical development skills. We are looking for talented candidates who believe in the power of the private sector to make a difference in the world's toughest places. If that's you, contact us.

Data Scientist

• Full Time
• Data Analytics
• Mid Level

**About the Firm** Founded in 2011, CrossBoundary is a mission-driven investment firm committed to unlocking the power of capital to make a substantial return while creating a lasting difference in underserved markets. CrossBoundary provides investment advisory services, having developed specialized expertise in unleashing investment across all sectors in these markets. Our advisory clients include governments, development finance institutions, private equity firms, Fortune 100 companies, and research institutions. Learn more at CrossBoundary.

**Job Description** CrossBoundary is recruiting a full-time Data Scientist. We are seeking candidates with proven skills in managing large datasets, applying statistics, machine learning, and other techniques to drive towards meaningful insights, and presenting these insights to varied stakeholders. As a Data Scientist, you will be 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 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 We Are** The CrossBoundary team is a unique group made up of people who are genuinely excited by the opportunity to make a difference in some of the most challenging yet exciting markets in the world. Team members come from diverse backgrounds but share several qualities: curiosity, humility, integrity, a drive for excellence, and a bias for action.

**Who You Are**

• A self-starter passionate about creating lasting change in frontier markets.
• Willing to take on new types of work even without prior experience or direct supervision.
• Comfortable with ambiguity and operating effectively in a changing context.
• Ability to 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.
• Co-teaming with advisory and other teams to connect data to valuable insights.
• Management of relationships with stakeholders to create trust in 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.
• Expertise in at least one data-focused programming language (e.g. Python, R, MATLAB).
• Expertise in advanced statistical applications (non-parametric regression, 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, MILP) is a plus.
• Experience with GIS tools (e.g. ArcGIS, QGIS) is a plus.
• Ability to work independently and learn new skills with minimal supervision.
• Excellent presentation skills, ability to communicate clearly and effectively with diverse audiences.

**Location** Candidates will join our team in Nairobi, Kenya; Lagos, Nigeria; Johannesburg, South Africa. Frequent travel is expected.

**Equal Opportunity Employer** CrossBoundary is an equal opportunity employer. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected].

**Contact** Interested candidates should apply at CrossBoundary Careers.