CrossBoundary Group Recruitment for Data Scientist

This post is about CrossBoundary Group Recruitment for Data Scientist, How to apply,requirement ,qualification and other information you may need to know .SEE FULL DETAILS BELOW

CrossBoundary Group Recruitment for Data Scientist

CrossBoundary Group is a mission-driven investment and advisory firm that unlocks the power of capital for sustainable growth and strong returns in underserved markets. CrossBoundary Advisory has advised on over US$700 million of closed transactions in underserved markets across a broad range of impactful sectors, including agriculture, health, education, manufacturing, ICT, infrastructure, and clean power. Our investment platforms, CrossBoundary Energy, CrossBoundary Energy Access, and CrossBoundary Educational Infrastructure, directly finance projects to bring cheaper, cleaner, and more reliable electricity, as well as education infrastructure, to developing countries

Job Title: Data Scientist

Location: Lagos
Employment Type: Full-time
Category: Data Analytics
Experience: Mid Level

Job Description

• We are 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.

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
Ensure you read the following skills and qualifications below:

• 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

Application Closing Date
Not Specified.

How to get information in your Phone or Email for further updates

• Subscribe to us with your Email address for FREE to be updated on a daily basis
• LIKE our Facebook page
• FOLLOW our Twitter News Handle
• For questions as regards to anything, kindly Comment Below