Data Scientist

• Produce a high volume of customer-facing analytics outputs directly, including dashboards, port cost insight packs, monthly reports, and ad-hoc requests, ensuring accuracy and timeliness.
• Act as the senior hands-on analyst in the team, handling the most complex reporting builds, data transformations, and deep-dive investigations.
• Complete end-to-end production tasks—including data extraction, cleaning, modelling, visualisation, and narrative insight development.
• Perform detailed quality checks on own work and team outputs, ensuring compliance with Marcura analytics standards.
• Lead the team by example through active participation in daily production, especially during peak periods or high-pressure deadlines.
• Split responsibilities between direct production (≈60–70%) and supervision/coordination (≈30–40%), depending on business needs.
• Support junior analysts by working alongside them in production workflows, modelling best-practice techniques and data hygiene.
• Identify inefficiencies in personal and team production processes and introduce improvements that materially increase output volume and reduce manual tasks.
• Drive automation for frequently repeated production tasks (e.g., scheduled report generation, Power BI refresh logic, validation scripts).
• Translate customer and CSM needs into tangible, high-quality analytics deliverables personally executed where required.
• Support Customer Success leaders in QBR/EBR preparation through direct production of insight decks and performance analysis.
• Ensure operational alignment with strategic analytics initiatives and product strategy for Shipping Services solutions, including DA-Desk, PortLog and Marcura Claims.
• Execute hands-on data investigation to identify, diagnose, and correct data issues impacting customer-facing analytics.
• Partner with Engineering/Data teams by providing detailed, production-level observations to guide fixes.
• Ensure controls are in place to ensure customer data is always handled confidentially and in accordance with internal and external best practices.
• Apply practical understanding of shipping services, port cost workflows, claims processes, and voyage operations to improve relevance and contextual accuracy of analytics outputs.
• Ensure all personally produced reports include relevant operational context, narrative explanation, and recommendations.
• Ensure team members understand maritime context and customer use cases.

Team Lead, Customer Analytics, Shipping Services

• Own and drive end-to-end ML projects that directly impact product growth, engagement, and monetization, from problem framing to deployment and measurement
• Build and maintain ML models such as user segmentation, churn prediction, and recommendation systems to surface actionable opportunities for the product
• Partner with Product Managers to translate business questions into well-defined analytical or modeling problems with clear success metrics
• Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify growth opportunities and inform product strategy
• Design, execute, and analyze A/B and multivariate experiments with a strong focus on revenue, retention, and engagement impact
• Develop and maintain key product KPIs, dashboards, and monitoring metrics to track model performance and product outcomes
• Ensure accurate event tracking and data instrumentation for new and existing product features
• Translate complex analytical and modeling findings into clear, actionable recommendations for both technical and non-technical stakeholders
• Act as a thought partner and data leader within product teams, fostering a strong data-driven and experimentation culture

Data Scientist jobs in United Arab Emirates

See all jobs on JobTailor

Team Lead, Customer Analytics, Shipping Services

Senior Product Data Scientist