DATA SCIENTIST

The Company

Lori is building the cutting-edge logistics infrastructure for trucking in Africa. The startup is using advanced technology and operational systems to tackle a massive issue - $180 billion is spent annually on haulage across Africa, which means that up to 75% of a product’s cost is due to logistics (compared to 6% in the US).

Lori’s tech-enabled logistics optimization system is driving a new-age supply chain management system and has already realized significantly improved flexibility, reliability, and significant cost savings (savings upwards of 15%, which reduces the prices of goods for consumers).

The market demand for Lori’s platform is increasing exponentially and the company has achieved a 30% month over month growth since system launch in May. To continue driving this pace of growth, Lori has raised capital from institutional and strategic investors from the continent/world. The company recently won TechCrunch’s Battlefield Africa.

The team is led by a team of nerds obsessed with revolutionizing logistics in Africa and executing on their vision:

  • Gichini Ngaruiya, CTO: Y Combinator, co-founder/CTO of E la Carte (raised $50mm+), MIT CS, Kenyan native
  • Josh Sandler, CEO: industrialization + logistics work, Harvard MBA/MPA-ID, South African native
  • Fredrik Johansson, COO: former COO of $80mm Swedish supply chain co, Masters in Eng (thesis in Tanzania)

The Position

Lori is seeking a Data Scientist to discover information hidden in vast amounts of data and help us make smarter decisions to deliver an even better product. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. You should have a knack for analysis, math and statistics. You must have persistence and a commitment to the goals of building the logistics infrastructure system of the future.

What you will do

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with product development team
  • Familiarity with AWS and horizontal scaling
  • Familiarity with Git and collaborative development

What you bring to the table

  • Proven experience as a Data Scientist or Data Analyst
  • Experience in data mining
  • Understanding of machine-learning and operations research
  • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Familiarity with AWS and horizontal scaling
  • Familiarity with Git and collaborative development

Preferred Experience

  •  BSc/BA in Computer Science, Engineering or relevant field

                                                             

Qualified applicants are invited to email their CV to Lori HR at: careers@lorisystems.com