Senior Data Scientist Consultant
Il y a 4 heures
Arrondissement of BrusselsCapital, Brussels, Belgique
Keystone Solutions
Temps plein
Gratuit avec email ou Google
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Gratuit avec email ou Google
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
h3Mission Overview: /h3 pKeystone Solutions is looking for a Senior Data Scientist for a consultancy mission with a client in Brussels. You will be hired by Keystone Solutions and work as a K-Stone consultant within the client's Marketing and Communication environment, with 50% mandatory on-site presence in Brussels and 50% telework. The Predictive Models team provides responsible AI models that enable impactful and efficient campaigns by optimizing reach and relevance for customers and employees. /p h3Function and
Responsibilities:
/h3 pAs a Keystone Solutions consultant, you will join a team of motivated data scientists who are eager to learn, collaborate and share expertise. You will bring a proven track record in building and deploying data science models and expertise in using LLMs for text classification and summarization. Under Keystone Solutions' consultancy model, your responsibilities will include: /p ul liTackle various business challenges by creating responsible AI models to answer the needs of Marketing and Communication and make campaigns more relevant and impactful. /li liCapture business needs, determine feasibility, build models and analyses to identify the most relevant target groups, and set up tests to measure model impact. /li liBuild models to support customer journey-driven marketing campaigns. /li liBuild pipelines that clean and structure web analytics and use LLMs to detect customer intent. /li liDevelop and deploy automated summarization models using LLMs or traditional NLP methods. /li liApply guidelines and best practices, including explainability, for building responsible AI models. /li liMonitor and deploy AI models in production using a comprehensive stack of tools. /li liPresent technical concepts as clear, actionable insights to business owners and advise them on the use of models in campaigns. /li /ul h3Language
Requirements:
/h3 ul liFluent spoken and written English. /li liFluent spoken and written Dutch OR fluent spoken and written French. /li /ul h3Education: /h3 pYou have a Master's degree or higher in a quantitative field such as statistics, mathematics or computer science. Candidates with other academic backgrounds and substantial experience in data science are also encouraged to apply. /p h3Required Experience and Knowledge: /h3 pYou have at least 5 years of relevant experience. /p h3Mandatory Technical
Experience:
/h3 ul liExpert-level Python programming and expertise in the Python data science environment, including scikit-learn, transformers, PyTorch and TensorFlow. /li liProven ability to fine-tune, evaluate and operationalize LLMs and embedding models for production use in marketing contexts. /li liSolid understanding of statistical methods, experiment design and machine learning algorithms, including traditional machine learning and deep learning. /li liExpertise in using LLMs for text classification, RAG, interpretability, guardrails and validation of LLM-driven predictions. /li liHands-on experience with MLflow for experiment tracking, model versioning and CI/CD pipelines in AI/ML workflows. /li liExpertise in customer journey modeling, such as next best action. /li liExperience with Git and Bash. /li liExperience with SQL. /li /ul h3Preferred Technical
Experience:
/h3 ul liExperience with active learning techniques to iteratively improve models. /li liExperience with uplift modeling. /li liExperience with Marketing Mix Modeling and optimization under constraints. /li liExperience with SAS. /li liExperience with Streamlit. /li /ul h3Working Model: /h3 pThis consultancy mission requires 50% mandatory presence at the client's Brussels office and allows 50% telework. As a Keystone Solutions consultant, you will represent Keystone Solutions at the client site while collaborating closely with client stakeholders and fellow specialists. /p h3Soft
Skills:
/h3 ul liTake ownership and demonstrate the ability to drive projects end-to-end with minimal guidance. /li liAbility to translate data insights into actionable business recommendations. /li liQuick learner and autonomous. /li liClear and concise communication. /li liTeam player. /li liProactive attitude and results-driven approach. /liliAnalytical and problem-solving mindset. /li /ul h3Why Keystone Solutions: /h3 pAs a K-Stone, you bring Keystone Solutions' core values to every engagement while building your consultant identity through meaningful on-site collaboration. Our consultancy model gives you exposure to dynamic projects and diverse challenges across client environments, creating turbo-charged learning through broad technical, business and stakeholder experiences. Keystone Solutions also supports skyrocketing ambition by enabling continued professional development and career growth across challenging consultancy assignments. /p
Responsibilities:
/h3 pAs a Keystone Solutions consultant, you will join a team of motivated data scientists who are eager to learn, collaborate and share expertise. You will bring a proven track record in building and deploying data science models and expertise in using LLMs for text classification and summarization. Under Keystone Solutions' consultancy model, your responsibilities will include: /p ul liTackle various business challenges by creating responsible AI models to answer the needs of Marketing and Communication and make campaigns more relevant and impactful. /li liCapture business needs, determine feasibility, build models and analyses to identify the most relevant target groups, and set up tests to measure model impact. /li liBuild models to support customer journey-driven marketing campaigns. /li liBuild pipelines that clean and structure web analytics and use LLMs to detect customer intent. /li liDevelop and deploy automated summarization models using LLMs or traditional NLP methods. /li liApply guidelines and best practices, including explainability, for building responsible AI models. /li liMonitor and deploy AI models in production using a comprehensive stack of tools. /li liPresent technical concepts as clear, actionable insights to business owners and advise them on the use of models in campaigns. /li /ul h3Language
Requirements:
/h3 ul liFluent spoken and written English. /li liFluent spoken and written Dutch OR fluent spoken and written French. /li /ul h3Education: /h3 pYou have a Master's degree or higher in a quantitative field such as statistics, mathematics or computer science. Candidates with other academic backgrounds and substantial experience in data science are also encouraged to apply. /p h3Required Experience and Knowledge: /h3 pYou have at least 5 years of relevant experience. /p h3Mandatory Technical
Experience:
/h3 ul liExpert-level Python programming and expertise in the Python data science environment, including scikit-learn, transformers, PyTorch and TensorFlow. /li liProven ability to fine-tune, evaluate and operationalize LLMs and embedding models for production use in marketing contexts. /li liSolid understanding of statistical methods, experiment design and machine learning algorithms, including traditional machine learning and deep learning. /li liExpertise in using LLMs for text classification, RAG, interpretability, guardrails and validation of LLM-driven predictions. /li liHands-on experience with MLflow for experiment tracking, model versioning and CI/CD pipelines in AI/ML workflows. /li liExpertise in customer journey modeling, such as next best action. /li liExperience with Git and Bash. /li liExperience with SQL. /li /ul h3Preferred Technical
Experience:
/h3 ul liExperience with active learning techniques to iteratively improve models. /li liExperience with uplift modeling. /li liExperience with Marketing Mix Modeling and optimization under constraints. /li liExperience with SAS. /li liExperience with Streamlit. /li /ul h3Working Model: /h3 pThis consultancy mission requires 50% mandatory presence at the client's Brussels office and allows 50% telework. As a Keystone Solutions consultant, you will represent Keystone Solutions at the client site while collaborating closely with client stakeholders and fellow specialists. /p h3Soft
Skills:
/h3 ul liTake ownership and demonstrate the ability to drive projects end-to-end with minimal guidance. /li liAbility to translate data insights into actionable business recommendations. /li liQuick learner and autonomous. /li liClear and concise communication. /li liTeam player. /li liProactive attitude and results-driven approach. /liliAnalytical and problem-solving mindset. /li /ul h3Why Keystone Solutions: /h3 pAs a K-Stone, you bring Keystone Solutions' core values to every engagement while building your consultant identity through meaningful on-site collaboration. Our consultancy model gives you exposure to dynamic projects and diverse challenges across client environments, creating turbo-charged learning through broad technical, business and stakeholder experiences. Keystone Solutions also supports skyrocketing ambition by enabling continued professional development and career growth across challenging consultancy assignments. /p