Data Scientist – Mid Level

Moffatt & Nichol

. Lead technical delivery of complex modeling and machine learning projects, including small projects or project steps within larger initiatives .

Posted 11/7/2026full-timeValencia • SpainSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading complex modeling and machine learning projects, with a strong focus on Python, SQL, and machine learning frameworks. Capable of mentoring junior data scientists while ensuring model quality, reproducibility, and adherence to data governance standards.

Highest-signal resume keywords

Machine Learning FrameworksPython ProgrammingSQL ProficiencyModel Deployment ArchitectureData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningModeling ApproachFeature PipelinesModel Evaluation CriteriaModel Quality StandardsData Governance StandardsComplex Problem SolvingCloud Data PlatformsMLOpsStatistical Analysis

Soft Skills

CollaborationStakeholder InfluenceMentoringCommunicationTraining

Tools & Technologies

Cloud-Native Data ServicesML ServicesModel Monitoring ToolsData Quality Frameworks

Certifications & Qualifications

Cloud Data Platforms CertificationMLOps Certification

Industry Keywords

Data ScienceComputer ScienceStatisticsMathematicsEngineeringHealth and Safety ComplianceNIST 800-171

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Lead technical delivery of complex modeling and machine learning projects, including small projects or project steps within larger initiatives
Set direction for modeling approach, evaluation criteria, and deliverables within agreed project expectations
Define machine learning workflows from feature pipelines and training through deployment and monitoring
Contribute to architecture decisions for model deployment and recommend system and tool improvements
Enforce model quality, reproducibility, documentation, and data governance standards
Review junior data scientists’ models, code, and findings for accuracy and soundness
Partner with product and software engineering teams to integrate models into products and client solutions
Facilitate collaboration across functions and influence stakeholders on modeling priorities and trade-offs
Mentor junior data scientists and provide guidance and training on modeling methods and tools
Interact with clients and travel occasionally
Work as an individual contributor with no direct reports

Requirements

What you’ll need

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
Ability to solve complex problems by taking a broad perspective and analyzing issues of diverse scope
Ability to facilitate collaboration across functions, influence stakeholders, and drive collaboration on complex initiatives
Ability to work with a high degree of latitude and set direction for own work within project expectations
Must follow health and safety laws, company policies, and procedures
Must successfully complete and pass a pre-employment (post offer) background check in compliance with NIST 800-171

Benefits

Comp & perks

Equal Employment Opportunity / Federal Contractor
Reasonable accommodations for individuals with disabilities
Safe working environment and continuous improvement in workplace safety