CrossBoundary Data Scientist Kenyan Job Vacancies March

  • Published date: March 31, 2021
  • Category: Research
    • Location: Nairobi, Nairobi
  • Jop type:
  • Salary: Ksh Not mentioned
  • Company name: Jobs in Kenya

Job Description

Data Scientist Jobs, Current IT Jobs

Vacancy: Data Scientist

Location: Nairobi, Kenya

Department: Data Analytics

Type: Full Time

Min. Experience: Mid Level

Job Description

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 frontier markets. We take a transaction-centered approach to frontier markets. CrossBoundary provides investment advisory services, having developed a specialized expertise in unleashing investment across all sectors in fragile and frontier markets. Our advisory clients include governments, development finance institutions, private equity firms, Fortune 100 companies, and research institutions. Learn more at

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 5 years of work experience (or applicable post-graduate education), with 2—3 years of experience working in high-caliber data science or consulting organizations. Experience working in developing countries will be regarded favorably.

CrossBoundary operates in frontier markets that contain promising and untapped investment opportunities. Our team comprises a unique group of individuals who are driven 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, including curiosity, humility, integrity, a drive for excellence, and a bias for action.


  • 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


  • 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

  • 5 years of work experience (or applicable post-graduate education), with 2—3 years 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) and version control (e.g.: Git/GitHub)

  • Expertise in advanced statistical applications: non-parametric regression and classification, Bayesian methods, etc.

  • Expertise in visualization libraries (e.g.: Plotly, ggplot2, Tableau)

  • Experience manipulating and transforming large data sets (e.g.: SQL, Spark, HDFS)

  • 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

How to Apply

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