Data Scientist
4 weeks ago
Discover the Role
We are seeking a highly skilled Senior Data Scientist specializing in Time Series Forecasting to join our consultancy at Discovered MENA. You will work closely with clients across industries such as Logistics, Retail, Food & Beverages, and Supply Chain to deliver cutting-edge forecasting solutions. Your work will directly support critical business decisions, optimize inventory management, and improve operational efficiency through data-driven insights.
Key Responsibilities
- Develop and implement advanced time series forecasting models to support clients in logistics, retail, food & beverages, and supply chain management.
- Analyze complex datasets to identify trends, seasonality, and patterns for predictive accuracy.
- Collaborate with clients and cross-functional teams to gather data requirements and deliver actionable forecasting insights.
- Optimize models to improve forecast precision for inventory, demand, and supply chain planning.
- Implement scalable forecasting systems and integrate them into clients' operational workflows.
- Work with cloud platforms and big data technologies to build and maintain data pipelines for large-scale forecasting projects.
- Present insights and recommendations to clients, driving data-backed decisions.
Required Skills and Experience
- 5+ years of experience in data science with a focus on time series forecasting, ideally within the logistics, retail, food & beverage, or supply chain sectors.
- Expertise in statistical modeling, machine learning, and econometrics.
- Proficiency in Python, R, SQL, and forecasting libraries such as Prophet, ARIMA, LSTM.
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Hadoop, Spark).
- Ability to communicate complex data insights clearly to both technical and non-technical stakeholders.
- Strong problem-solving skills with a results-driven, client-oriented approach.
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