Senior Data Scientist

Posted Yesterday
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Ikeja, Lagos, NGA
Hybrid
Senior level
eCommerce • Software
The Role
Lead design, development, and deployment of ML models for forecasting, optimization, personalization, and risk detection. Build data pipelines, experimentation frameworks, pricing and incentive algorithms, and metrics tracking. Partner with Product, Engineering, and Operations, maintain data quality, mentor junior scientists, and translate insights for non-technical stakeholders.
Summary Generated by Built In

Who we are

Chowdeck is an on-demand delivery service for Africa. We deliver food, medicine, groceries and other packages seamlessly while providing customers with a platform to order from their favourite vendors.
At Chowdeck, we deeply value growth, excellence, speed, and empathy. Our team is a tight-knit group of creative problem solvers who are smart, kind, and committed to helping each other grow.

Where you come in

We’re looking for a data leader who will shape Chowdeck’s data-driven culture and build intelligent systems that power our operations, customer experience, and business growth. 

As a Senior Data Scientist, you’ll design, build, and deploy machine learning models and analytical frameworks that optimize delivery operations, improve personalization, and drive profitability. You’ll work closely with Product, Engineering, Business, Strategy, and Operations teams to solve high-impact problems at scale. This is a high-ownership role. Your work will directly influence strategic decisions, shape how millions of deliveries happen across Africa, and define the future of Chowdeck’s data ecosystem.

In this role you'll be required to:

- Lead the design, development, and deployment of advanced machine learning models across forecasting, optimization, personalization, and risk detection.

- Identify and frame high-impact opportunities where data science can transform customer experience and operational efficiency.

- Conduct competitive intelligence analysis to drive actionable business insights.

- Develop data-driven approaches to pricing, incentives, and promotion algorithms that balance growth with profitability.

- Partner with stakeholders across Product, Operations, and Engineering to translate business challenges into analytical solutions.

- Design and manage experimentation frameworks (A/B testing, causal inference) to validate strategic initiatives.

- Build robust data pipelines and collaborate with engineering teams to ensure scalable, reliable model deployment.

- Create and maintain frameworks to track and improve key business metrics.

- Maintain high data quality standards and ensure integrity across all analyses and systems.

- Mentor and coach junior data scientists, fostering a culture of excellence and continuous learning.

- Communicate complex insights clearly to non-technical stakeholders, driving alignment and action across teams.

You’re perfect for the role if you:

- Have 5+ years of experience as a Data Scientist or in a similar role, with proven expertise in applied machine learning.

- Are highly skilled in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).

- Are proficient in SQL, spreadsheets, and big data tools.

- Have hands-on experience with experimentation, causal inference, and statistical modeling.

- Hold a strong foundation in statistics, mathematics, or a related quantitative field.

- Have a proven track record of building and deploying ML models in production environments.

- Communicate complex ideas clearly and can influence both technical and non-technical stakeholders.

- Enjoy solving ambiguous, complex problems.

- Bring experience or deep curiosity about logistics, e-commerce, marketplaces, or food delivery.

Beyond the paycheck, Chowdeck employees get:

Full medical coverage

MacBook Pro for your work

Smart, kind colleagues invested in your growth

Housing assistance

Lunch allowance

Skills Required

  • 5+ years of experience as a Data Scientist or similar role with applied machine learning
  • Highly skilled in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow)
  • Proficient in SQL, spreadsheets, and big data tools
  • Hands-on experience with experimentation, causal inference, and statistical modeling
  • Strong foundation in statistics, mathematics, or a related quantitative field
  • Proven track record of building and deploying ML models in production environments
  • Ability to communicate complex ideas clearly to technical and non-technical stakeholders
  • Experience mentoring or coaching junior data scientists
  • Experience or strong curiosity about logistics, e-commerce, marketplaces, or food delivery
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The Company
0 Employees
Year Founded: 2021

What We Do

Delivering meals, groceries and medicine with ease!

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