Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
About the role
- Senior Data Scientist at Euromonitor International developing and improving ML models from consumer good data. Involved in data quality assurance and industry-specific model translation.
Responsibilities
- Formulating hypotheses and developing proof of concept ML models for NLP, Image Processing
- Supervised/Unsupervised Learning Tasks
- Translating industry specific knowledge into proper models
- Monitoring and ensuring data quality
- Communicating insights effectively in both written and visual way
Requirements
- Background in Mathematics/Physical/Natural Sciences or Engineering fields, relevant working experience of 5+ years
- Advanced knowledge of Google Cloud Platform (GCP), Google stack
- Advanced knowledge of Python/R/SQL, understanding of merge-request git flow, basic scripting including CI/CD, regular expressions, sell commands, HTML/JavaScript and basic webapp development skills
- Good coding habits such as proper documentation, linting, styling, reproducibility, code review best practices, and test driven development
- Skills to maintain ML models; measure performance, add/remove classes, create effective labelling batches, retrain with assessment of the impact
- Ability to suggest model improvements, propose working solutions for business problems, ensure the model works with existing models, track model experiments and keep model documentations updated
- Skills to clearly communicate problem status, actions taken, conclusions, improvements and limitations
- Experience creating and using cloud resources, familiarity with notebooks, SQL instances, buckets, secrets, VMs, and service accounts, understanding and contributing to pipelines, applying model scaling practices and cloud cost awareness
- Understanding of which visualizations to use with different data types, comfortable with at least one visualization framework and capable of creating shareable/dynamic reports/apps
- Proficiency in applying EDA principles, classical supervised/unsupervised learning techniques, main NLP technical, a good understanding of deep learning techniques and awareness of model and computational complexity
Benefits
- Flexible work time with the perfect work/life balance
- Competitive salary with wide variety of benefits like longer holidays, additional health insurance, social responsibility initiatives you can take part in, office perks
- Intelligent and fun colleagues working in a constructive and inspiring atmosphere
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.
Data Scientist role at Airbus developing AI/Data Science solutions for aircraft systems. Focused on value creation and collaboration with engineering teams for embedded computer vision applications.
Data Scientist II using data science techniques for actionable insights. Working with cross - functional teams to resolve data issues and innovate analytical solutions.
Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting - edge technologies in generative AI and machine learning.
Engage in a dual study program focusing on AI and Data Science. Responsibilities include machine learning model development and data processing in a collaborative environment.
Lead Data Scientist developing AI - powered capabilities at S&P Global. Architecting ML products and mentoring a skilled team in an engaging global environment.