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Data Scientist Full Stack

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Allianz

17d ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Munich

AI generated summary

  • You need a Master's in a related field, expertise in Python, SQL, and ML models, containerization skills, agile experience, and strong communication abilities in diverse environments.
  • You’ll analyze data with Python and SQL, build data pipelines, deploy ML models, and prototype interactive apps, collaborating with teams to present insights for business strategies.

Requirements

  • Master’s degree in Computer Science, Engineering, Statistics, or a related field.
  • Proficiency in Python and SQL, with experience using frameworks like NumPy, Pandas, Scikit-Learn, XGBoost, Shapely, Plotly, Streamlit, MLFlow, and SQLAlchemy.
  • Strong knowledge of machine learning, deep learning and natural language processing with a proven ability to develop and deploy ML models in production environments.
  • Expertise in containerization technologies like Docker and Kubernetes for efficient deployment and scaling of applications.
  • Proficiency in working with SQL databases, with experience in NoSQL databases being a plus.
  • Experience with GitHub, including workflows for version control, collaboration, and code management.
  • Ability to take ownership, develop concepts, and drive ML models through to implementation.
  • Experience working in agile methodologies within fast-paced, dynamic, and international environments.
  • Strong intercultural sensitivity and prior experience working in an international context.
  • Highly developed interpersonal skills, including communication, presentation, and negotiation with both technical and non-technical audiences.

Responsibilities

  • Leverage Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn) to clean, analyze, and manipulate datasets effectively.
  • Build, optimize, and maintain efficient and scalable data pipelines, ensuring seamless integration with existing systems.
  • Utilize cloud platforms (AWS, Azure, GCP) to manage, process, and analyze large datasets, ensuring security and scalability.
  • Apply machine learning and statistical techniques to address complex business challenges, delivering impactful data-driven solutions.
  • Develop, test, and deploy machine learning models into production environments, ensuring scalability and robustness.
  • Containerize applications using Docker and Kubernetes to streamline deployment and enhance scalability of machine learning models.
  • Rapidly prototype interactive data applications using tools like Streamlit, Dash, or similar, enabling stakeholders to explore data and model outputs.
  • Work closely with cross-functional teams to transform data insights into actionable business strategies and solutions.
  • Present findings and insights clearly to both technical and non-technical audiences, translating complex data into actionable recommendations.

FAQs

What is the primary role of a Data Scientist Full Stack at Allianz Partners?

The primary role is to collaborate with subject matter experts to develop data-driven solutions, leverage data analytics and machine learning, and contribute to the continuous improvement of business processes.

What programming languages and tools should I be proficient in for this position?

You should be proficient in Python and SQL, with experience using data science libraries and frameworks such as Pandas, Scikit-learn, NumPy, and others mentioned in the job description.

What cloud platforms are preferred for this position?

The preferred cloud platforms are AWS, Azure, and GCP for managing, processing, and analyzing large datasets.

Is experience with containerization technologies required?

Yes, expertise in containerization technologies like Docker and Kubernetes is required for efficient deployment and scaling of applications.

What educational background is necessary for this position?

A Master’s degree in Computer Science, Engineering, Statistics, or a related field is required.

Are there opportunities for professional development and growth within the company?

Yes, Allianz Partners offers a variety of courses and targeted development programs to support personal and professional growth.

Is experience in agile methodologies important for this role?

Yes, experience working in agile methodologies within fast-paced, dynamic, and international environments is important.

What level of teamwork is expected in this position?

The role requires close collaboration with cross-functional teams to transform data insights into actionable business strategies and solutions.

How important are communication skills in this position?

Highly developed interpersonal skills, including effective communication and presentation skills to both technical and non-technical audiences, are crucial for this role.

What can I expect in terms of work-life balance at Allianz Partners?

Allianz Partners prioritizes employee health and wellbeing, offering Work Well programs that provide flexibility and support for a better work-life balance.

Our purpose: We secure your future. Our promise is to give confidence in tomorrow.

Finance
Industry
10,001+
Employees
1890
Founded Year

Mission & Purpose

The Allianz Group is one of the world's leading insurers and asset managers with more than 100 million private and corporate customers in more than 70 countries. We are proud to be the Worldwide Insurance Partner of the Olympic & Paralympic Movements from 2021 until 2028 and to be recognized as one of the industry leaders in the Dow Jones Sustainability Index. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. Join us and together, let’s care for tomorrow.