Yassir - Data Scientist (Pricing)
Requirements
• 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 • Experience with On-demand, Mobility or Financial Services companies • Experience working on ML features for Digital Products (apps, websites) • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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
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