Posted today · be early

Data Scientist (Pricing)

Yassir

Egypt, India, Kenya, Nigeria, South AfricaremotePosted 1 day ago

Skill Required

Data-SciencePricing-AnalyticsMachine-LearningApplied-Data-ScienceAI-ML-EngineerPricing-Data-ScientistData-ScientistPricing-ScientistData Scientistsoftware engineeringMachine Learningdata engineeringGCPEngineeringStatisticsanalyticalautomationdevelopinganalyticsbuildingwrittenTestNGPythonCloudDesign PatternsRustSQLandAIFulltime

Key highlights

2 years of industry experience required
Must have Masters degree or above in quantitative field
Google Cloud Platform (GCP) experience highly preferred
Pricing / Economics related problems and/or modelling techniques experience welcomed
On-demand, Mobility or Financial Services companies experience is a nice-to-have
Digital Products (apps, websites) ML features experience is a nice-to-have

Role overview

Yassir is the Super App designed to make life easier for Africans on the continent and its diaspora, creating economic opportunities for service providers while infusing social values. The company aspires to provide users with essential services to their door by leveraging technology and a large ecosystem of partners. Yassir stands for Ambition, Transparency & Trust, Quality, and Performance. The role involves joining Yassir's Artificial Intelligence (AI) team to contribute to key projects such as Dynamic Pricing and Trip Dispatching. The Data Scientist will analyze and model data to optimize Machine Learning systems, requiring expertise in both predictive modelling and software development. This is an opportunity to tackle some of Yassir's most critical problems within a global team of Data and AI/ML experts focused on building state-of-the-art infrastructure and solutions.

Responsibilities

Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. We aim for this role to focus on optimization Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing
Identify and propose ML opportunities related to your scope and beyond
Support with requirements definition and prioritization of ML projects
Collaborate with cross-functional Engineering and Product teams
Champion Data Quality as a critical input component to all ML solutions and Analytics
Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
Utilize Statistical and ML techniques, as appropriate, for model training
Validate and tune ML models
Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
Deploy and test ML applications using our MLOps infrastructure
Monitor ML models on their technical performance, business impact and underlying data / concept drift
Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
Maintain and improve technical documentation of delivered solutions
Support the Data & AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities

Requirements

Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience
Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.
Prior experience with Pricing / Economics related problems and/or modelling techniques - we welcome Economics / Econometrics backgrounds and experience
Comfortable with key Statistical concepts, such as statistical testing and causal analysis
Analytical thinking and problem solving skills
Engineering mindset focused towards delivering robust applied data science solutions
Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
Mastering of the end-to-end (ML) model development lifecycle
Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
Positive attitude and resilience
Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
Internal drive, self-motivation and ability to work independently including own effective project management