Data Science Engineer

• Lead Data Science Initiatives : Guide a high-performing data science team in creating scalable and impactful data solutions for product development. Drive the design and implementation of analytics frameworks that include predictive and prescriptive modelling, with an emphasis on data quality and security.
• Data Strategy & Integration : Identify high-impact datasets and embed insights, such as anomaly detection and knowledge graphs, directly into products. Collaborate with engineering to integrate these insights seamlessly, enhancing product functionality and responsiveness.
• Advanced Modelling to Build Products : Develop models that address complex product requirements, including forecasting, classification, and prescriptive modelling. Use machine learning, optimisation, and neural networks to create products that proactively adapt to changing needs and deliver robust user experiences.
• Model Deployment & Adaptability : Ensure models are production-ready, scalable, and adaptable to real-world product demands. Partner with engineering to deploy and continuously refine these models, keeping them aligned with evolving requirements.
• Quality Assurance & Data Governance : Implement rigorous validation and data quality standards to ensure consistency and reliability across products. Maintain data governance practices that support secure, compliant usage.
• Documentation & Knowledge Transfer : Develop and maintain comprehensive documentation of data workflows, model design, and deployment processes. Facilitate knowledge sharing to support both technical and non-technical teams.
• Mentorship & Team Development : Mentor junior data science team members in advanced analytics and modelling techniques, fostering best practices and collaborative problem-solving.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Operations Research, or a related field.
• Minimum of 5 years of experience in data science, focusing on product-driven solutions, including forecasting, classification, and optimization.
• Proficiency in machine learning and optimization modeling , with a strong understanding of analytics tools (Python, SQL) and experience with neural networks, transformers, and knowledge graphs.
• Experience in generative AI using LLMs , with a proven ability to integrate these technologies into data-driven products.
• Strong analytical and problem-solving skills , with the ability to structure data-driven solutions to complex product challenges.
• Excellent communication skills , adept at simplifying technical concepts for diverse stakeholders and fostering cross-functional collaboration.
• Proven leadership skills with the ability to mentor and guide junior team members.
• Commitment to continuous learning , staying current with advances in data science and machine learning.
• Collaborative mindset , contributing positively to cross-functional efforts.

• Collaborative and innovative work environment
• Aviation, Maritime domain exposure, and business knowledge
• Connectivity and content engineering and business knowledge
• Opportunity to work in cross-functional teams.
• Competitive health benefits that start on day one
• Generous paid time off policy
• Enterprise Product end-to-end experience with direct customer feedback
• Performance-based bonus
• Opportunity to work across teams and organizations.

Quvia is an Equal Opportunity Employer.

Employment opportunities at Quvia are based upon one's qualifications and capabilities to perform the essential functions of a particular job.

All employment opportunities are provided without regard to race, religion, sex (including sexual orientation and transgender status), pregnancy, childbirth or related medical conditions, national origin, age, veteran status, disability, genetic information, or any other characteristic protected by law.

Quvia will never ask to interview job applicants via text message or ask for personal banking information as part of the interview process.

Quvia will never ask job applicants or new hires to send money or deposit checks for the company.