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Senior Data Scientist – Analytics

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Onsite

Senior Data Scientist – Analytics

Floward

Senior Data Scientist – Analytics

Skills

Google Cloud PlatformSQL QueriesDeep LearningE-commerce WebsitesTableauDockerData MiningPythonData ScienceData VisualizationNumPypandasPyTorchTensorFlowRAmazon RedshiftGitData AnalysisMachine LearningAIAWSPower BIAzure

11 days ago

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Important information


Contract type:

Permanent

Location:

Cairo, Cairo Governorate, Egypt

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job Title: Senior Data Scientist – Analytics

Department: Technology

Location: New Cairo, Egypt

Job Purpose:

The Senior Data Scientist – Analytics is responsible for developing and implementing advanced analytical models that drive business performance, optimize decision-making, and support data-driven strategy across Floward. The role involves deep statistical analysis, machine learning, and model deployment in collaboration with stakeholders across product, operations, engineering, and marketing. The ideal candidate will possess a strong quantitative background, experience in data science tools and infrastructure, and a track record of translating complex data into actionable insights.

Key Responsibilities:

1. Data Analysis & Insight Generation

  • Conduct in-depth exploratory data analysis to uncover business trends, anomalies, and opportunities.
  • Perform advanced statistical modeling and machine learning techniques to solve key business problems.
  • Present findings to both technical and non-technical audiences using storytelling and visualization.
  • Design, run, and analyze A/B tests and controlled experiments, including hypothesis definition, sample size and power analysis, guardrail metrics, and statistical significance, and translate results into clear product and business decisions.

2. Model Development & Deployment

  • Design, build, and validate predictive and classification models for use cases such as demand forecasting, recommendation systems, and churn prediction.
  • Deploy models into production, monitor performance, and retrain as necessary based on business feedback and live data.
  • Collaborate with engineering and product teams to integrate data science models into applications and platforms.

3. Innovation & Applied Research

  • Research and experiment with cutting-edge AI/ML methodologies to improve modeling accuracy and efficiency.
  • Evaluate new data sources, modeling frameworks, and feature engineering strategies.
  • Contribute to the development of internal data science tools and scalable analytical solutions.

4. Stakeholder Collaboration & Communication

  • Translate complex modeling outputs into actionable business insights.
  • Work closely with business leaders and cross-functional teams to understand requirements and deliver tailored analytical solutions.
  • Participate in roadmap planning and identify opportunities to embed advanced analytics into business workflows.

Qualifications & Experience

Education:

Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related discipline (PhD is a plus).

Experience:

  • 5+ years in applied data science, analytics, or machine learning within a product-driven or e-commerce environment.
  • Proven track record of deploying ML models in production and demonstrating business impact.
  • Strong portfolio of analytical projects involving real-world business problems and measurable outcomes.
  • Hands-on experience designing, running, and analyzing A/B tests and online experiments in an e-commerce or product environment, with solid knowledge of statistical inference (hypothesis testing, confidence intervals, multiple-testing corrections).

Technical Skills:

  • Proficiency in Python (Pandas, NumPy, Scikit-learn) and/or R.
  • Strong knowledge of SQL for data extraction and transformation.
  • Familiarity with ML deployment and version control tools (e.g., Docker, Git, MLFlow).
  • Experience with data visualization platforms such as Tableau, Power BI, or Streamlit.
  • Hands-on experience with TensorFlow, PyTorch, or other deep learning frameworks is a plus.
  • Exposure to cloud data services such as AWS (SageMaker, Redshift), GCP (BigQuery), or Azure is an advantage.

About Floward :

Floward Life Page

Floward Corporate

Founded in 2017, Floward is an online flowers and gifting company; we pride ourselves in creating a seamless experience for our customers and making sending flowers and gifts as enjoyable as receiving them. We source our flowers daily from the best growers and farmers around the world to create one of a kind stunning arrangements and plants that fit every occasion. We also partner with local and international brands to offer a wide range of gifts including chocolate, perfumes, cakes and more, coupled with our arrangements to create the perfect gift. Operating in 36 cities in nine countries across the MENA region and UK, we guarantee same-day delivery across the board through our own refrigerated fleet to ensure our arrangements arrive fresh to the customer.

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