Job Title: Lead Data Scientist - Analytics
Role Summary: As the Lead Data Scientist - Analytics at Floward, you will spearhead the development and execution of data-centric strategies that drive the company's objectives and enhance its data products and capabilities. This role involves leading a highly motivated team to deliver innovative data-driven solutions, fostering a culture of performance and continuous improvement, and contributing significantly to Floward's growth and customer satisfaction.
Key Responsibilities: 1. Data Strategy and Management Define and lead the execution of the overall data strategy in alignment with business goals. Manage the data science team's activities to ensure optimal performance and project alignment with strategic objectives. Prioritize data projects based on potential business impact and available resources. Ensure data security and privacy compliance in all data operations and processes. Maintain and enhance the data warehousing and processing infrastructure to support scalability and efficiency. 2. Analytics and Insights Conduct advanced statistical analysis to solve complex business problems, providing actionable insights. Develop and implement models for predictive analytics, enhancing decision-making across the business. Lead exploratory data analysis to identify trends, patterns, and anomalies. Communicate insights and recommendations to senior management and stakeholders through clear, concise reports and presentations. Foster an environment of data-driven decision-making within the company. 3. Innovation and Development Lead the development of new data-driven product features and analytical tools. Stay abreast of industry trends and technological advancements to incorporate innovative solutions. Collaborate with product and technology teams to integrate data science applications into Floward's platform. Drive the exploration and adoption of new data sources and analytics methodologies. 4. Team Leadership and Development Build, mentor, and lead a team of data scientists, analysts, and data engineers. Establish clear performance standards and encourage a culture of excellence and continuous learning. Organize training and development initiatives to enhance team skills and capabilities. Promote collaboration across teams to ensure integrated strategies and shared knowledge. 5. Stakeholder Engagement and Collaboration Establish and maintain strong relationships with key internal and external stakeholders. Align data science activities with business units' needs to maximize value creation. Serve as the primary data science liaison to senior management, ensuring transparency and alignment. Coordinate with IT, marketing, and operations to implement data-driven strategies effectively. Key Expertise and Competencies; Educational Qualification and Experience: Master's degree in Data Science, Computer Science, Statistics, or a related field is highly desirable. At least 7 years of experience in applied statistics and predictive analytics. Minimum of 5 years of management experience in leading data-focused teams. Core Competencies Strong analytical and problem-solving skills. Proficient in statistical analysis and mathematical modeling. Excellent communication and presentation skills. High level of proficiency in data manipulation and analysis. Functional Competencies Advanced expertise in SQL, R, and Python for complex data analysis. Experience in predictive modeling, machine learning, and data mining. Skilled in data visualization tools like Tableau, PowerBI, and Streamlit. Leadership Competencies Proven ability to lead and develop high-performing data science teams. Strong project management skills and ability to manage multiple priorities. Exceptional stakeholder management and interpersonal skills. About Floward Floward is the leading online flowers and gifting company in the Middle East and the UK. Our company was founded in 2017, and within five years we expanded our operations to include nine countries. At Floward, we pride ourselves on creating a seamless and innovative experience for our customers and we love making the process of sending flowers and gifts as enjoyable as receiving them. We make sure to source our flowers daily from the best ethical growers and farmers around the world to create one of a kind stunning arrangements and plants that fit every occasion.
We are known for our flower arrangements, but we made great partnerships with local and international brands in all our communities to offer our clients a wide range of gifts including chocolate, perfumes, cakes, jewellery, and more.
Operating in 37 cities in nine countries across the MENA region and London, UK, we guarantee same-day delivery across the board through our own refrigerated fleet to ensure that gifts and arrangements arrive fresh to the customer.
To know more about us;
Machine Learning, Predictive Analytics, Powerbi, Data Mining, Data Visualization, Tableau, Sql, Python
