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Mid/Senior - Data Scientist

About Yassir


Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency & Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.


About the Role
  • Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.


About the Team
  • The AI team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!


Key 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


Key Requirements - Essential
  • 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


Nice to have
  • Experience with On-demand, Mobility or Financial Services companies
  • Experience working on ML features for Digital Products (apps, websites)


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$60000K
$90000K

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What You Should Know About Mid/Senior - Data Scientist, YASSIR

Join Yassir as a Mid/Senior Data Scientist and become a vital part of our innovative Artificial Intelligence (AI) team! We are on a mission to revolutionize everyday life for Africans and create economic opportunities for service providers. In this exciting role, you'll dive into dynamic projects like Dynamic Pricing and Trip Dispatching. Your analytical prowess and experience in predictive modeling will be crucial in optimizing our Machine Learning (ML) systems. As part of the global Data & AI domain at Yassir, you'll work alongside a talented team of experts, tackling challenging problems and driving impactful solutions. This isn't just a job; it's an opportunity to contribute to building state-of-the-art data infrastructure and cultivate a data-driven culture. We value collaboration, transparency, and a relentless pursuit of excellence. If you are a curious mind with a background in Data and AI and a passion for leveraging technology to create meaningful change, we want to hear from you! Your journey at Yassir will not only enhance your skills but allow you to make a real impact in a fast-growing tech company on the African continent.

Frequently Asked Questions (FAQs) for Mid/Senior - Data Scientist Role at YASSIR
What are the key responsibilities of a Mid/Senior Data Scientist at Yassir?

As a Mid/Senior Data Scientist at Yassir, your responsibilities encompass becoming an expert on optimization pricing capabilities, exploring machine learning opportunities, and collaborating with cross-functional teams. You’ll also conduct exploratory data analysis, validate and tune machine learning models, and ensure data quality for all ML solutions.

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What qualifications are needed to apply for the Mid/Senior Data Scientist position at Yassir?

To apply for the Mid/Senior Data Scientist role at Yassir, candidates should possess a Master's degree or higher in a quantitative field like Mathematics, Data Science, or Computer Science. Additionally, at least two years of industry experience in Python and SQL coding is essential, along with a strong grasp of machine learning and statistical techniques.

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What skills are essential for a Mid/Senior Data Scientist at Yassir?

Essential skills for this role include a solid background in statistical analysis, machine learning, and software development. Applicants should be proficient in Python, SQL, and familiar with cloud solutions like Google Cloud Platform. Strong analytical thinking, communication, and interpersonal skills are also crucial for success at Yassir.

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How does the AI team at Yassir contribute to business value?

At Yassir, the AI team plays a crucial role in enhancing business value through the development of data-driven solutions. By optimizing machine learning applications for projects like Dynamic Pricing and providing actionable insights, the team empowers decision-making processes and improves user experiences.

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What career growth opportunities does Yassir provide for Data Scientists?

Yassir offers substantial career growth opportunities for Data Scientists, including involvement in impactful projects, skill enhancement in data and AI domains, and a supportive, collaborative team environment. Employees are encouraged to share knowledge and pursue personal development, leading to advanced roles and responsibilities.

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Common Interview Questions for Mid/Senior - Data Scientist
Can you describe your experience with machine learning model development?

Certainly! When answering, highlight specific projects you've worked on, the challenges faced, and the outcomes of the models developed. Discuss the end-to-end lifecycle, including data preprocessing, feature selection, model training, and testing, to show your depth of knowledge in ML.

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How do you approach data quality assurance in your machine learning projects?

In your response, emphasize the importance of data quality in ML solutions. Explain practices you employ, such as exploratory data analysis, statistical testing, and regular monitoring of datasets to ensure data cleanliness and relevance. Mention any tools you use for quality checks.

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What is your approach to collaborating with cross-functional teams?

When discussing your collaboration approach, focus on communication techniques, methodical documentation practices, and how you maintain transparency with product and engineering teams. Share an example of a successful collaboration that accomplished project goals.

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Can you give an example of how you've tackled a complex problem using data science?

Prepare a real-world example where you identified a problem, employed data analysis techniques, and implemented ML solutions. Make sure to outline the methodologies used, the results achieved, and how it benefited your previous employer or project.

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What role does exploratory data analysis play in your data science workflow?

Explain that exploratory data analysis (EDA) is foundational for understanding data characteristics and informing subsequent steps. Discuss how it helps you identify patterns, detect outliers, and determine suitable modeling techniques, ensuring robust insights.

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How do you stay updated with the latest developments in data science and machine learning?

Mention a few reputable sources like data science journals, online courses, and community forums where you actively follow trends. Highlight any conferences, workshops, or meetups you attend to underscore your commitment to continuous learning.

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Describe your experience with pricing or economic modeling.

Discuss any relevant projects you've been involved in that required economic modeling or pricing strategy. Include methodologies, tools used, and the impact this had on the bottom line, demonstrating your understanding of econometrics.

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How would you explain complex technical concepts to a non-technical audience?

Provide examples of how you've simplified technical jargon in previous positions. Focus on your ability to use analogies and visuals to convey ideas clearly and concisely without losing the essence of the technical details.

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What visualization tools and techniques are you familiar with?

Discuss the Python-based libraries you've used, such as Matplotlib or Seaborn, and any analytics or BI tools like Tableau or Power BI. Share your experience creating impactful visualizations that guide decision-making.

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What is your experience with cloud computing, particularly Google Cloud Platform?

Share your experiences with cloud services, especially if they've involved GCP. Emphasize your familiarity with data storage solutions, ML services, or any particular projects executed in the cloud that illustrate efficiency and scalability.

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Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It...

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Full-time, remote
DATE POSTED
December 10, 2024

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