Senior Data Scientist – Analytics

Floward is a job website that connects job seekers with employment opportunities across various industries. The platform provides a space for individuals to search for roles based on location, experience level, and job title. One of the current openings listed is for a Staff Software Engineer, indicating the company's involvement in technology-related hiring. While the exact industry and business model of Floward are not specified, the presence of software engineering positions suggests an interest in tech talent acquisition. The website likely serves as a recruitment hub, facilitating communication between candidates and potential employers. Floward emphasizes accessibility and relevance in its job listings, offering users tools to refine their search and apply for suitable roles. As a job platform, it supports career growth by matching skilled professionals with organizations seeking qualified personnel.

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. Show more