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Principal Data Scientist (m/f/d)

AI · Data Science

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Your tasks

Lead AI engagements and be the main responsible for project delivery
Manage key project stakeholders (technical and nontechnical) on project delivery and for future opportunities
Prepare and lead software architecture and design discussions
Review team design decisions and guarantee high quality code
Navigate uncertain projects with poor scope and task definition, bring structure and organization
Push for business impact and value delivery
Bring expertise on Machine Learning AI agents to automate business workflows, propensity modelling to roll out marketing campaigns, forecasting for demand prediction and assortment optimization.
Present to technical and or business stakeholders. Prepare and carry out presentations with the key business stakeholders involved in the projects to show the results of ML models to a non-technical audience and how they bring value to the business.
Gather business requirements from business users and technically implement them to meet the requirements.
Defining business requirements, Document them, create wire frame, Communicate to Developers, Monitor Development, conduct internal testing and validate every KPI Numbers & Formulas.
Own and develop relationship with partners, working with them to optimize and enhance our integration.
Report on common sources of technical issues or questions and make recommendations to product team.
Communicate key insights and findings to product team.
Respond to Ad-Hoc business analysis and conduct Business analytics using SQL complex queries.

What do we expect from you?

2+ years of demonstrable experience leading teams, being accountable for end-to-end project delivery and responsible for planning, assigning tasks and growing other team members.
4+ years of prior experience in a Data Scientist role as an IC.
Demonstrable architecture and software design knowledge.
Strong Data Engineering and software development skills.
Expertise in Python and any one of the associated frameworks (scikit-learn, Tensorflow, PyTorch, h2o, etc.) for ML and DL.
Expertise in the concepts of Statistics, Machine Learning and Agent-based AI.
Knowledge in ML-Ops (deployment of models, model performance monitoring, data drift, rest API integration, simulations, etc.).
At least 3 Machine Learning project implementation experience in production.
Excellent communication and collaboration skills, able to explain complex effects and impacts in simple business terms.
Knowledge of optimization techniques (OR, MIP, …) is a plus.
Knowledge on DataIku is a plus.

What you can expect

Be part of an international and talented team, enjoying an excellent work environment where people are passionate about what they do.
Attractive salary according to experience and knowledge provided.
Flexible working schedule.

Your tasks

Lead AI engagements and be the main responsible for project delivery
Manage key project stakeholders (technical and nontechnical) on project delivery and for future opportunities
Prepare and lead software architecture and design discussions
Review team design decisions and guarantee high quality code
Navigate uncertain projects with poor scope and task definition, bring structure and organization
Push for business impact and value delivery
Bring expertise on Machine Learning AI agents to automate business workflows, propensity modelling to roll out marketing campaigns, forecasting for demand prediction and assortment optimization.
Present to technical and or business stakeholders. Prepare and carry out presentations with the key business stakeholders involved in the projects to show the results of ML models to a non-technical audience and how they bring value to the business.
Gather business requirements from business users and technically implement them to meet the requirements.
Defining business requirements, Document them, create wire frame, Communicate to Developers, Monitor Development, conduct internal testing and validate every KPI Numbers & Formulas.
Own and develop relationship with partners, working with them to optimize and enhance our integration.
Report on common sources of technical issues or questions and make recommendations to product team.
Communicate key insights and findings to product team.
Respond to Ad-Hoc business analysis and conduct Business analytics using SQL complex queries.

What do we expect from you?

2+ years of demonstrable experience leading teams, being accountable for end-to-end project delivery and responsible for planning, assigning tasks and growing other team members.
4+ years of prior experience in a Data Scientist role as an IC.
Demonstrable architecture and software design knowledge.
Strong Data Engineering and software development skills.
Expertise in Python and any one of the associated frameworks (scikit-learn, Tensorflow, PyTorch, h2o, etc.) for ML and DL.
Expertise in the concepts of Statistics, Machine Learning and Agent-based AI.
Knowledge in ML-Ops (deployment of models, model performance monitoring, data drift, rest API integration, simulations, etc.).
At least 3 Machine Learning project implementation experience in production.
Excellent communication and collaboration skills, able to explain complex effects and impacts in simple business terms.
Knowledge of optimization techniques (OR, MIP, …) is a plus.
Knowledge on DataIku is a plus.

What you can expect

Be part of an international and talented team, enjoying an excellent work environment where people are passionate about what they do.
Attractive salary according to experience and knowledge provided.
Flexible working schedule.