Data Science Manager

October 7

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Zicasso

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B2C • eCommerce • Travel

Zicasso is an online luxury travel service that connects discerning travelers with a curated network of travel specialists. Zicasso provides customized itineraries and personalized travel planning to ensure memorable and unique travel experiences. With a focus on high-end and tailored travel solutions, Zicasso caters to clients seeking specific and bespoke travel experiences.

51 - 200 employees

👥 B2C

🛍️ eCommerce

📋 Description

• Lead, mentor, and grow a team of data scientists, providing coaching and professional development opportunities to foster their skills and career paths. • Manage project allocation, set priorities, and define project roadmaps to ensure the team's work aligns with business objectives and delivers maximum value. • Serve as the primary liaison between the data science team and cross-functional stakeholders, translating business needs into technical requirements and communicating complex insights effectively to both technical and executive audiences. • Foster a collaborative, innovative, and results-oriented team culture. • Maintain hands-on expertise by leading the design, development, and validation of complex predictive models and data driven solutions, including machine learning and natural language processing (NLP) techniques. • Guide the team in analyzing large, complex datasets to uncover strategic insights that drive product innovation and business growth. • Oversee the design, implementation, and interpretation of A/B tests and multi-variant experiments to evaluate and optimize product and operational initiatives. • Collaborate closely with data engineering teams to ensure the development of scalable data infrastructure and maintain data quality and consistency. • Provide training and guidance on utilizing data analysis and reports to foster a data-centric culture across the organization.

🎯 Requirements

• Minimum 7 years of professional experience as a Data Scientist or in a related role, with at least 2 years of experience leading or managing a team of data professionals. • Demonstrated experience in mentoring and coaching junior and mid-level data scientists. • Help shape the data science strategy in line with organizational goals, while establishing clear objectives and benchmarks. • Proficiency in Python or R, with demonstrated experience implementing ML pipelines and frameworks. • Advanced SQL skills, with experience working on large-scale, relational and/or distributed datasets. • Experience with data visualization tools such as Tableau or Power BI. • Proven hands-on experience with performing statistical analysis, predictive modeling and data mining on large and complex datasets. • Hands-on expertise in AI, machine learning, and natural language processing (NLP) techniques, including model development, tuning, and validation preferred. • Strong problem-solving skills, with the ability to translate ambiguous business challenges into actionable analytics projects and team roadmaps. • Effective collaborator with experience working independently in remote team environments.