Senior Data Scientist/ Engineer

Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

We are seeking a Senior Data Scientist/ Engineer to join our team, with a strong emphasis on cross-functional skills in data engineering, particularly within the Azure tech stack. This role is pivotal in enhancing client experiences and delivering well rounded technical solutions. The ideal candidate will possess a background in data science and data engineering, statistics, and machine learning, along with the ability to transform large volumes of structured customer data into actionable insights.

Responsibilities:

• Transform large datasets using advanced analytical solutions and data engineering techniques, delivering prescriptive and predictive analytical solutions.
• Apply various mathematical models to develop descriptive and predictive models that support informed decision-making.
• Create high-quality data visualizations that effectively communicate insights.
• Collaborate with cross-functional teams, including on the client side, to discuss data-driven findings and take actionable items on technical issues.
• Estimate, plan, and participate in the delivery of analytical projects.
• Evaluate and select appropriate Data Science tools, libraries, and frameworks, with a focus on Azure technologies.

Required Skills and Experience:

• At least 5 years of experience in data science and engineering, statistics, or machine learning, preferably in a cloud environment.
• Strong foundation in applied mathematics focused on data (statistical analysis, machine learning) or background in physics.
• At least 2 years of experience with (preferably) Microsoft Azure. Tech stack: Databricks, Data lake, Azure functions, Data factory. Other components/ cloud providers are a plus.
• Proficiency in OOP Python.
• Experience in SQL (any dialect).
• Familiarity with data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib).
• Data visualization skills are preferred, but not mandatory.
• Excellent problem-solving attitude.
• Proficient in English.

We consider a plus:

• Microsoft / Databricks/ Python certifications.
• Multicloud experience.
• Previous experience in large scale corporate environment.
• Snowflake, Airflow, SAP knowledge.

Join us to make a significant impact through data-driven insights while collaborating across teams!

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Let’s grow together.