Position Title: AI Engineer / Data Scientist
Employer: Chipchip
Employment: Full-Time | Permanent
Place of Work: Addis Ababa - Ethiopia
Posted date: 9 months ago
Deadline: Submission date is over
About the job
Role Overview:
At ChipChip, we’re revolutionizing the Ethiopian marketplace experience by connecting buyers and sellers in a more personalized and efficient way. Our platform empowers users to discover products they love, while helping sellers optimize their pricing, inventory, and marketing strategies. As an AI Engineer, you’ll be at the forefront of this transformation, building models that directly impact millions of users and drive the future of the marketplace.
We are looking for an AI Engineer or Data Scientist with a strong focus on demand forecasting and pricing algorithms. This role will involve building models to predict demand trends, market prices, order volumes, group sizes, and other key metrics to optimize operations. Additionally, you'll work on linking marketing spend with outcomes like user registrations, orders, and group, warehouse, and delivery planning to better allocate resources and drive growth.
Key Responsibilities:
- Demand Forecasting: Develop models that predict demand for products based on historical data, seasonality, and external factors (e.g., promotions, marketing spend, rating, contribution margin, competitors' prices, spoilage rate, active users). Your work will directly influence inventory management, reduce waste, and ensure that our users always find the products they need.
- Marketing Spend Analysis: Implement models to assess the impact of advertising spend (e.g., Meta ads) on key metrics such as user registrations, orders, and group size. Your insights will help optimize marketing budgets and drive higher ROI.
- Dynamic Pricing Algorithm: Build and refine dynamic pricing models that adjust prices based on factors like demand, competition, and inventory levels. Your algorithms will optimize revenue and ensure competitive pricing in real-time.
- Order Volume & Group Size Forecasting: Develop models to predict the expected number of orders, group size, and delivery dates to optimize supply chain and logistics operations. Your forecasts will ensure timely deliveries and efficient resource allocation.
- Inventory Management: Build algorithms to automate inventory control and ensure that stock levels meet demand forecasts. Your work will minimize overstocking and stockouts, improving overall operational efficiency.
- Integration: Work closely with the marketing and operations teams to ensure forecasting models align with strategic goals and deliver actionable insights. Your models will directly influence product strategy, marketing campaigns, and user experience.
Qualifications:
- Experience in demand forecasting, pricing, or supply chain optimization.
- Strong experience with deep learning & time-series forecasting models (e.g., Prophet, LSTM).
- Proficiency in Python, SQL, and machine learning libraries (e.g., XGBoost, TensorFlow, PyTorch).
- Familiarity with advertising data analysis and its impact on customer behavior and demand.
- Expertise in dynamic pricing algorithms and inventory management systems.
- Experience with data pipelines and ETL processes for handling large datasets.
- Experience with MLOps (model deployment, monitoring) and A/B testing.
- Experience with Apache Superset.
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