Senior Data Scientist
il y a 7 jours
At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture, and our focus on continuous learning, we’ll provide everything you need to become the best you can be.
**YOUR ROLE**
- Developing and deploying **machine learning models** and data-driven solutions using **Dataiku DSS**.
- Designing and implementing **data pipelines**, ETL processes, and feature engineering workflows.
- Utilizing **Python, SQL, and Dataiku's visual tools** to preprocess, analyze, and visualize data.
- Automating and optimizing **model deployment** using Dataiku’s built-in features (APIs, automation scenarios, etc.).
- Working with cloud environments such as **AWS, Azure, or GCP** to scale data processing and model deployment.
**YOUR PROFILE**
- Strong understanding of statistics, predictive modeling, and machine learning algorithms.
- Experience with **ETL, feature engineering, and model deployment** in production environments.
- Experience with **cloud computing (AWS, Azure, or GCP)** and big data technologies (Spark, Hadoop) is a plus.
- Master’s degree in **Data Science, Computer Science, Statistics, Mathematics**, or a related field + 5 years of experience in a engineering field.
- Excellent problem-solving skills, teamwork, and communication abilities.
**WHAT YOU’LL LOVE ABOUT WORKING HERE**
At Sogeti, we have a **modern, human centric approach** to promoting, assessing and ensuring future high performance. We support and guide you at every step of your career with continuous feedback and conversations. We’ll always make space to check in and discuss your growth and readiness for promotion.
We encourage flexibility when it comes to when and where people get their work done, allowing a better **work-life balance** and **greater empowerment**. Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.
We offer access to one of the **best digital learning packages** in the market to improve both your soft and hard skills. Encouraging you to be curious and accountable for your **skills development**. Our learning offers are world class and free to every employee across the globe. Access all learning assets and curated programs from business experts, plus content from leading partners including Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
**Qualification / Technologies**:
- Strong proficiency in programming languages such as Python or R;
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn);
- Knowledge of deep learning architectures and techniques;
- Solid understanding of statistical concepts and methodologies;
- Excellent problem-solving and analytical skills;
- Strong communication skills and the ability to work collaboratively in a team.
**Education**:
- Master's or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Data Science) with 5 years of experience in machine learning field.
- _A background check within the framework PSF will be requested upon hiring (criminal record, Education degrees, diplomas & certifications)._
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