Principal Data Scientist

About Synvert
ClearPeaks is a specialist consulting firm delivering services and solutions in "Everything Data" – Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. Founded in 2000, we have been a trusted partner to our customers in over 15 industry verticals and functional areas, with operations spanning Europe, Middle East, the United States, and Africa.

ClearPeaks is part of a strategic alliance with synvert, a group of six successful full-service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA's largest D&A consulting companies.

Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.

As a Principal Data Scientist, you will be responsible for identifying and leading AI opportunities. We are seeking a highly talented, self-motivated, and customer-oriented candidate to join us. This role is a managerial role. We are looking for someone with initial exposure to management with a strong track record of delivery as an individual contributor.

Your tasks

• Lead AI engagements and be the main responsible for project delivery
• Manage key project stakeholders (technical and non technical) 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 stakeholdersPrepare 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 individual contributor
• 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.
• 23 vacation days + 24 & 31 December.