Data Scientist - Mid Level

Moffatt & Nichol; Valencia; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Moffatt & Nichol is seeking a Mid Level Data Scientist to lead complex modeling and ML initiatives within the Digital Solutions data team. You will define workflows, oversee model deployment, ensure quality and governance, and mentor junior data scientists.

This is an individual-contributor role with no direct reports, requiring collaboration with product and engineering teams to embed models into client solutions.

Competenze

• Bachelor’s degree in CS, Statistics, Mathematics, Data Science, Engineering (or equivalent); advanced degree valued
• 7–10 years of experience; 5+ years with advanced degree
• Certifications in cloud data platforms or MLOps valued
• Deep expertise in Python, SQL, and ML frameworks; strong deployment skills
• Experience with data governance, quality frameworks, and cloud-native data and ML services
• Solves complex problems by taking a broad perspective and analyzing issues of diverse scope
• Facilitates collaboration across functions and influences stakeholders
• Works with latitude and sets direction for own work within project expectations
• All employees must support a safe working environment and pass a background check per NIST 800-171

Mansioni

• Leads technical delivery of complex modeling and machine learning projects
• Sets direction for modeling approach, evaluation criteria, and deliverables
• Defines ML workflows from feature pipelines to deployment and monitoring
• Contributes to architecture decisions for model deployment and tooling
• Enforces model quality, reproducibility, and data governance
• Reviews junior data scientists’ models, code, and findings for accuracy
• Partners with product and software teams to integrate models into products
• Facilitates cross-functional collaboration and stakeholder alignment
• Mentors junior data scientists with guidance on modeling methods

Conoscenze

Python

SQL

ML frameworks

Model deployment

Data governance

Cloud data platforms

MLOps

Problem solving

Stakeholder collaboration

Formazione

Bachelors in STEM

Descrizione del lavoro

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Scientist - Mid Level

NextPort Regular Full-Time Data Scientist Los Barrios, Cádiz, ES

NextPort.AI as Technology & Innovation brand of Moffatt & Nichol, which has specialized in large complex waterfront infrastructure projects since 1945, is a startup who is handling a high technology, and which has been growing consistently since 2022.

The Data Scientist leads complex statistical modeling and machine learning initiatives and serves as a technical resource within the Digital Solutions data team. The role defines machine learning workflows and model deployment approaches, enforces quality and documentation standards, reviews the work of junior data scientists, and ensures compliance with data governance standards. The Data Scientist works with a high degree of latitude, sets direction for own work within project expectations, and partners with product and engineering teams to integrate models into products and client solutions. This is an individual-contributor role with no direct reports.

About Moffatt & Nichol:

NextPort, as Technology and Innovation spin-off of Moffatt & Nichol, provides technology solutions for Ports and Terminals. We partner with customers to make data connectable and useful, driving digitalization to enhance efficiency, safety, sustainability and resilience. Our 360 Operational Digital Twin solution connects processes, data and systems. Together, we are contributing to transform the Maritime Industry with AI technology and data-driven decision-making.

Moffatt & Nichol's professional staff includes engineers, planners, scientists, and architects who serve our global client base from offices in Europe, the Americas, and the Pacific Rim. The firm provides clients worldwide with customised service and a level of excellence that have become the firm’s hallmark in three primary practice areas—coastal, environmental, and water resources; ports and harbours; and transportation, bridges, and rail.

Duties and Responsibilities:

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

• Leads technical delivery of complex modeling and machine learning projects, including small projects or project steps within larger initiatives
• Sets direction for modeling approach, evaluation criteria, and deliverables within agreed project expectations
• Defines machine learning workflows, from feature pipelines and training through deployment and monitoring
• Contributes to architecture decisions for model deployment and recommends system and tool improvements
• Enforces model quality, reproducibility, documentation, and data governance standards
• Reviews junior data scientists’ models, code, and findings for accuracy and soundness
• Partners with product and software engineering teams to integrate models into products and client solutions
• Facilitates collaboration across functions and influences stakeholders on modelling priorities and trade-offs
• Mentors junior data scientists and provides specific guidance and training on modeling methods and tools

Other Duties:

Please note this job posting is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field (or equivalent experience); an advanced degree is valued
• Typically 7–10 years of experience; may have an advanced degree with 5+ years of experience
• Relevant professional certifications in cloud data platforms or MLOps are valued
• Deep expertise in Python, SQL, and machine learning frameworks; strong architecture skills for model deployment
• Experience with data governance, quality frameworks, and cloud-native data and ML services
• Solves complex problems by taking a broad perspective and analyzing issues of diverse scope
• Facilitates collaboration across functions, influences stakeholders, and drives collaboration on complex initiatives
• Works with a high degree of latitude and sets direction for own work within project expectations
• All employees are expected to support a safe working environment by following health and safety laws, company policies and procedures. This includes identifying and reporting risks, promoting safe practices, and contributing to continuous improvement in workplace safety.
• All new hires will be required to successfully complete and pass a pre-employment (post offer) background check in compliance with NIST 800-171

Working Conditions:

Sedentary for prolonged period of time, interact with clients, and travel occasionally.

As a global business, Moffatt & Nichol relies on diversity of culture and thought to deliver on our goal of Creative People, Practical Solutions® serving our client needs, and ensures nondiscrimination in all activities. We draw from the world’s best and brightest, regardless of geographic, cultural, or institutional background. This approach enables us to better understand and serve our clients, foster innovation, and create a rich, collaborative work environment. Moffatt & Nichol is proud to be an Equal Employment Opportunity / Federal Contractor desiring priority referrals of all protected veterans for job openings.