Data Scientist at Field Technology Development Partners Nigeria Limited

Field Technology Development Partners Nigeria Limited – We are helping governments and businesses make good on the promise of healthcare in the fastest growing parts of the world. And it starts with access. We make pharmaceutical supply chain radically simple, affordable, and effective, helping providers, from the largest health systems to the smallest drug shops, ensure a new generation can access the care it needs to flourish.

Field is a mission-focused, fast-growing health-tech supply chain company, providing critical supply chain services for public and private health systems in Nigeria and Kenya. Our investor-backed Shelf Life service powers one of the largest networks of community pharmacies in Africa. Our technology platform, Field Supply, powers both Shelf Life and large-scale public health supply chains helping serve millions of patients each year. We are a diverse and distributed team of people working at the forefront of technology on meaningful, interesting, and urgent issues.

We are recruiting to fill the position below:

Job Title: Data Scientist

Location: Abuja – Nigeria or Berlin – Germany

Job Description

We’re looking for motivated data scientist to support our innovative health system logistics initiatives from our headquarters in Berlin or Abuja
You’ll help collect and manage data from our growing health logistics network to provide key operational inputs and insights that drive our operations, shape our products, and ultimately strengthen health systems.
Your mission will involve exploring data from operational systems for managerial and product development insights, developing models which drive health commodity distribution for maximum access across the network, as well as responding to requests for specific extracts and reports, and investigating data quality issues alongside our business, technology, and health teams to help identify and diagnose problems and opportunities.

Requirements
Preferable:

Supply chain management experience
M.S or B.A / B.S related to Statistics, or comparable work experience
Professional experience using Github as a primary source control system, and git-flow as a primary workflow
Experience applying statistical machine learning techniques to real-world problems
Experience with business intelligence systems.

Required:

Professional experience in automated data analysis and manipulation for medium-large data sets
Expert spreadsheet skills, including descriptive statistical analysis, develop pivot tables, use advanced formulae
Professional experience conducting data queries and data manipulation (we primarily use Javascript, Python, SQL, and shell scripting to get our work done)
Professional experience using statistics for data analysis and decision support (distributions, statistical testing, regression, etc.)
Experience working with nosql databases (couchdb, elasticsearch a bonus)
Excellent communication skills and ability to play multiple roles in a team
Scientific mindset, and proven ability to decompose and distil complex problems into clear testable components
A deep curiosity about the live sources and implications of data
4+ years work experience in data analysis or related field, including considerable professional experience working in a team
Strong mathematical background
High creativity and problem solving abilities
Language skills: English (fluent).