Senior Data Scientist - Time Series Forecasting (Consultancy)

Job description

Senior Data Scientist - Time Series Forecasting (Consultancy)

Location: Riyadh, Saudi Arabia

Tax-Free Salary: 35,000 - 45,000 SAR

*Must be a Time Series Expert who is open to working in Riyadh OR London*

Discover the Role

We are seeking a highly skilled Senior Data Scientist specializing in Time Series Forecasting to join our consultancy. 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.

Discover the 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.

  
  

Discover the Qualifications

• 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.

  
  

If you fit the above requirement, APPLY NOW to be considered!