Data Scientist

Netherlands Data Science Tilburg On-site

This role is designed for a strategic thinker and hands-on leader who can oversee and guide advanced modeling, focusing on leveraging time-series data for predictive insights. Interested?
- About The Member Company
- We are a global high-tech consultancy company with a team of entrepreneurial engineers, scientists, and digital experts from around the world. Together we form a fast-growing and proud community. We offer consultancy services to high-profile clients globally in diverse service areas, such as:

- Technology & Engineering
- Energy & Renewables
- Life sciences & Pharma
- Digital & IT

**About this vacancy**:

- End-to-End Time-Series Model Development: Lead the design, development, and optimization of time-series models using LSTM networks and other advanced methodologies, ensuring solutions are robust, scalable, and aligned with client objectives.
- Advanced Model Deployment and Governance: Oversee model validation, deployment, and continuous optimization processes, emphasizing long-term performance and reliability. Implement governance frameworks to ensure models comply with data handling and regulatory standards.
- Cross-Functional Collaboration and Strategy Alignment: Collaborate with data engineering, analytics, and business teams to align time-series initiatives with strategic goals. Act as a key interface between technical and non-technical stakeholders to drive understanding and adoption of predictive insights.
- Technical Cloud and Infrastructure Oversight: Guide the utilization of cloud platforms (particularly Azure) and data pipelines optimized for large-scale time-series data processing. Ensure infrastructure is scalable and efficient to support the deployment of LSTM and other models in production.
- Team Leadership and Mentorship: Provide technical mentorship, especially in time-series analysis and neural networks, to junior team members. Lead by example in best practices for feature engineering, hyperparameter tuning, and model monitoring in time-series contexts.
- Stakeholder Engagement and Insight Communication: Regularly engage with business leaders to translate their requirements into actionable data science projects, particularly those centered on time-series forecasting for trend analysis, anomaly detection, and predictive maintenance.

**What we expect from you**:

- Deep Expertise in Time-Series Modeling: Proven experience in time-series forecasting, especially using LSTM networks, ARIMA models, and other advanced techniques. Ability to handle large datasets and deploy real-time predictive models.
- Cloud Proficiency for Time-Series Data: Hands-on experience with Azure services (e.g., Azure ML, Databricks) to build, scale, and deploy time-series models. Familiarity with tools and architectures suited for handling continuous and high-frequency time-series data.
- Advanced Data Science Techniques: Strong grounding in data processing for time-series data, including feature extraction, windowing, and seasonality adjustments. Expertise in model validation and hyperparameter tuning for recurrent neural networks.
- Experience with MLOps for Time-Series: Proficiency in DevOps/MLOps, with a focus on automated pipelines for deploying, monitoring, and retraining time-series models. Knowledge of CI/CD for LSTM model deployment.
- Leadership and Mentorship in Time-Series: 5+ years in data science, with demonstrated experience in developing time-series models and leading data science teams.
- Strategic Vision and Stakeholder Communication: Ability to explain time-series modeling techniques and results to non-technical stakeholders, translating technical work into actionable business insights.

**What you can expect from us**:
At TMC, we’re committed to creating a stimulating environment where you can develop and lead innovative solutions. Our focus on Employeneurship allows you to drive your career while contributing to cutting-edge projects. Join an international consultancy that values expertise and strategic vision, empowering you to make a significant impact in time-series analysis and predictive modeling.

This Lead Data Scientist role is ideal for those looking to shape predictive strategies through advanced time-series modeling, directly influencing decision-making and operational efficiencies for clients across diverse sectors.

The 5 basic principles of **employeneurship**
- A long-term working relationship
- Enjoy the security of a long-term contract and a stable source of income while getting the opportunity to work at diverse projects.
- Individual profit sharing
- Full transparency. That’s it. For each of your projects, you know your hourly rate, your costs, and your individual performance-based profit sharing, all in order to stimulate your inner entrepreneur.
- Business cells
- Our employeneurs are grouped in business cells based on their technical expertise. They are small, focused and function as high-grade knowledge network