REFUNITE is looking for an unusually skilled Data Scientist with data engineering skills to join our development team in Nairobi.
As a Data Scientist with REFUNITE, you will work with our dedicated team to define strategic analytical requirements and lead the design and implementation of technologies that enable us to answer critical business and product development questions in a data-driven manner.
This key player will be helping the team address important and strategic problems and challenges through deep data mining, statistical analysis of designed experiments, and building and managing a scalable data platform.
Who we are
REFUNITE builds technology to help separated refugee families reconnect. The world holds more than 51 million forcibly displaced people and REFUNITE is currently helping more than 400,000 people in finding their children, siblings and parents again.
Working with our partners in distributed teams, we collect family data through WEB, USSD and SMS. We currently have projects in Denmark, Kenya, Uganda, Somalia, Democratic Republic of the Congo, Jordan, Turkey, Iraq and the US, and we are constantly going into new countries. Our teams are present in refugee camps and urban areas of East and North Africa, and often comprise refugees themselves.
We work in challenging environments with challenging data, striving to crack a code of information dissemination to help families reunite faster. We focus on a big problem that we believe big data can help solve. We’re not in it for the status quo. We help change the lives of some of the most resource deprived people on our planet. We try to have fun, even when it’s tough. If this start-up dynamic, combined with a mission to empower refugees, sounds like your ideal place to thrive, get in touch.
-Develop interactive dashboards, reports, and analysis templates
-Further develop and innovate on the user registration, reconnection and search funnel based on concrete metrics.
-Extract and aggregate data from REFUNITE’s databases
-Design and automate processes to strengthen and further develop the data driven approaches of REFUNITE
-Provide creative approaches & critical thinking around our data to support a data driven culture throughout the organisation
-Collect, analyze, and present actionable data to drive marketing, business development and product management decisions at a senior level
-Design, implement, and support a platform that can provide structured and ad-hoc access to datasets
-Model data and metadata for ad hoc and pre-built reporting
-Employ data mining, segmentation, and other analytical techniques to capture important trends in the user base
-Collaborate with developers to define and set up A/B testing of new features and functionality on the platform
-Think critically about REFUNITE’s data and process complex data sets and workflows into actionable strategies
-Liaise between REFUNITE’s business intelligence and tech team Analyze user behavior through quantitative analysis
Our ideal candidate
-Minimum of 3 years of professional experience.
-Private-sector candidates preferred BSc or MSc in Computer Science, Engineering, Mathematics and/or Statistics.
-Highly skilled in building machine learning models in R /Python/Julia for predictive analytics
-Highly skilled in visualizing data using tools such as D3, highcharts, ggplot
-Highly skilled in Python scripting as well as Django and Flask frameworks Fluency in SQL Experience in building scalable APIs.
-Above average understanding of statistical analyses.
-Solid database experience (MySQL, MongoDB, etc)
-Fluent in English, both written and verbal Has the ability to explain technical processes to non-technical personnel
-Demonstrated ability to frame complex analytical problems, pull data, and extract insights that led to tangible results (revenue, seller launches, new product features, etc.
-Experience with large datasets and distributed systems will be a plus
-You are enthusiastic about sharing technical data and analysis Dream, breathe, eat statistics for lunch
We expect you to:
-Be absolutely kick ass at what you do
-Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products
-Be creative, curious and challenge us and yourself with new solutions and great ideas
-Be responsible and able to work independently as well as collaborate across the Dev team (located in both Copenhagen and Nairobi) and organisation in a hectic start up environment
-Have an entrepreneurial mindset and excited about working with a highly agile team
-The ability to work in an extremely fast-paced and multi-tasking environment, often under very tight timelines
What we can offer:
-Being part of an ambitious, skilled and agile team
-A great and fun work environment with highly enthusiastic colleagues
-Contributing to reconnecting refugees with their family and loved ones
-Location: flexible. Preferably Nairobi, but we are open to remote hires.
-You will be working from our office in Nairobi and join a small, ambitious start-up organization with a dedicated team of colleagues.
-Working hours: Monday to Friday (40 hours)
-You will be reporting to REFUNITE’s CTO & assisting Business Intelligence
How to apply
Send your application to: email@example.com. Include a link to your portfolio so we can see samples of your technical projects. Mark your application with the title “Data Scientist”. Applications will be reviewed on a rolling basis.
PS: only apply if you are truly unusually skilled within this field of expertise
NOTE: If you are considered for this position, we’ll send you a small pre-qualification technical exercise.