eHealth Africa (eHA) designs and implements data-driven
solutions and technologies to improve health systems for and with local
communities. eHA’s technology works in
low connectivity settings, and smartly uses data to drive decision-making by
local governments and partner agencies to get optimum results.
eHealth Africa is currently recruiting for the following
position:
Job Position: Data Scientist- Intern
Location: Kano
Job Summary: The
Data Scientist (Intern) develops models to discover the patterns and
information hidden in vast amounts of spatial and non spatial data across
several programs at eHA to support better programmatic decisions, intervention
planning and improved information products. S/he will apply data mining
techniques, perform statistical analysis, and build high quality prediction
models that will form core of eHA’s information products; It could be food
security / disease / agriculture early warning systems or optimised supply
chain management systems. S/he is an experienced scientist/engineer who is
expected to take projects from initial data mining and research through all
stages of prototyping, development and final integration and into the
production data that goes out the users.
Essential duties and
Responsibilities:
To perform this job successfully, the Data Scientist
(Intern) will work under the supervision of the GIS Department Manager to
perform the following responsibilities:
Use best practices to develop statistical, machine learning
techniques to build models on public health and geospatial data.
Provide insight into leading analytic practices, design and
lead iterative learning and development cycles, and ultimately produce new and
creative analytic solutions that will become part of eHA’s core deliverables.
Work with domain experts (e.g. epidemiologists and
nutritionists) and cross-functional team members to identify and prioritize
actionable, high-impact insights across a variety of eHA’s programmatic areas.
Lead applied analytics initiatives that are leveraged across eHA’s modelling
and analytics solutions for eHA’s programs and partners. You will research,
design, implement and validate cutting-edge algorithms to analyze diverse
sources of data to achieve targeted outcomes.
Manage end-to-end machine learning pipeline from data
exploration, feature engineering, model building, performance evaluation, and
testing.
Implement standard and proprietary algorithms for handling
and processing data.
Use distributed data processing and analysis to support
public health analytics projects.
Selecting features, building and optimizing classifiers
using machine learning techniques.
Other Duties and
Responsibilities
Ensures compliance with laws and regulations.
May frequently travel between company work-sites. Some
international travel may be required.
Presents a professional demeanor at all times. Approaches others in a tactful manner. Reacts well under pressure. Treats others with respect and consideration
regardless of their status or position.
Accepts responsibility for own actions.
Responds well to supervisor requests and feedback.
Is consistently at work and on time.
Participates in and promotes a positive, supportive,
cooperative team environment.
Attends and participates in annual strategic planning
meetings, country management meetings, staff meetings, training classes and
supervision.
Adheres to Policies and Procedures.
Adheres to eHealth Africa Code of Conduct as well as ethical
standards of the field.
Qualifications: The requirements listed below are
representative of the knowledge, skill and/or ability required to successfully
perform this job.
Education/Experience
Masters degree in Physics, Computer Science, Machine
Learning or Statistics. Ongoing PhD is desire.
Experience communicating with diverse teams including
geospatial specialists, data scientists, software engineers, program managers,
and executive management.
Proven track record of delivering high quality analytics
insights and solutions.
Deep understanding, analysis, and mining of large amount of
structured and semi-structured data.
Knowledge and experience managing and analyzing public
health and global development data.
Dataset experience in document, graph, log data, and semi-structured
data
Strength in Machine Learning, Statistical Modeling, Data
Mining, Pattern Recognition, Information Retrieval, Natural Language
Processing, or Search Ranking.
Experience innovating and implementing novel Machine
Learning techniques
Experience using all these Machine Learning techniques:
clustering, regression, classification, graphical models, mixture models, topic
models, and matrix factorization.
Self driven individual who can take a high-level problem and
see it to completion.
Knowledge of distributed computing solutions and ability to
leverage them towards gaining faster insights from data.
Excellent communication and team promotion skills.
Good learning ability. Action oriented and resilient in a
fast-paced environment.
Computer Skills
Working knowledge of data visualisation tools, such as
D3.js, GGplot, Flare, Tableau etc.
Working knowledge of common data science toolkits, such as
Python, R (including spatial packages), Weka, NumPy, MatLab, etc.
Working knowledge of NoSQL databases, such as CouchDB,
Cassandra.
Working knowledge of
Elastic Stack.
Working knowledge of geospatial analytics tools and
processes such as QGIS, PostGIS, Geoserver, etc.
Language Ability
English is the spoken and written language.
Ability to read, analyse, proof and edit documents, and
interpret general business periodicals, professional journals, or government
regulations.
Ability to effectively present information and respond to
questions from groups of managers, employees and the general public.
Why work for us?
Life at eHealth Africa means not only working towards saving
thousands of lives, but also collaborating with dedicated professionals with a
passion for innovative technology. We offer a series of programs that enables
them to pursue a career that fulfills their potential. Our team members’ health
and well-being is our priority as well as rewarding them for their hard work.
Method of Application
Interested persons should click here to apply
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