data sciencemachine learningmlopspythonpytorchtensorflowawsgcpmlflowkubeflowfeature engineeringmodel deploymentgenerative aicomputer visionnatural language processinghybrid workadvertising technology
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Helsinki, Finland
Full job description
Senior Data Scientist role on AI Platform Team at Smartly. Responsibilities include building and deploying scalable ML models, owning projects end-to-end, working with diverse datasets, analyzing large-scale data for insights, collaborating with engineers and stakeholders, and staying current with AI innovations. Requirements: 5+ years in data science or applied ML, 2+ years with cloud infrastructure (AWS/GCP), strong math foundation, fluent in Python, experience with ML frameworks (PyTorch, TensorFlow), knowledge of MLOps tools (MLflow, Kubeflow), strong communication skills, and willingness to work hybrid (3 days in office). Benefits include inclusive culture, global impact, healthcare, work-life balance, equity options, competitive pay, career development, and hybrid work model with option to work abroad up to 30 days.
What you'll do
Implement, build, and deploy scalable models and machine learning solutions focusing on maintainability, observability, scalability, and stability
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Requirements
5+ years of experience in data science or applied machine learning
2+ years of experience working with cloud infrastructure such as AWS or GCP
Strong foundation in linear algebra, statistics, and calculus
Fluent in Python; experience with C++ or Java is a plus
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
Analytical mindset with a problem-solving approach
Passion for solving customer challenges quickly while making thoughtful architectural decisions
Ability to communicate complex technical findings to both technical and non-technical stakeholders
Strong written and verbal communication skills in English
M.Sc. in a relevant field is preferred
Ability and willingness to work in a hybrid capacity from our office 3 days a week
Inclusive Culture with a diverse team of over 750 employees from 60+ nationalitiesGlobal Impact influencing customers and business growthGenerous healthcare packages and mental health servicesHealthy work-life balance with paid holidays and family leaveEquity options and performance-based rewardsCompetitive compensationCareer development opportunitiesHybrid workplace with option to work abroad for up to 30 days
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