Logo of Huzzle

Home

Matches

Explore

Manage

Data Scientist (all genders)

image

Expleo Group

24d ago

  • Job
    Full-time
    Junior & Mid Level
  • Data
    IT & Cybersecurity
  • Hamburg

AI generated summary

  • You have a Master's (or PhD) in a quantitative field, fluent in German and English, experienced in Data Science and Analytics, proficient in Python/R/SQL, and familiar with data visualization and Big Data tools.
  • You will develop AI-based models, process and cleanse complex datasets, analyze data for insights, create reports and dashboards, collaborate with teams, and improve data processes.

Requirements

  • Studium: Du verfügst über ein abgeschlossenes Masterstudium (ggf. Promotion) im Bereich Wirtschafts­wissenschaften, Informatik, Physik oder einem vergleichbaren quantita­tiven Bereich
  • Sprachkenntnisse: Du bringst verhandlungssichere Deutsch- und fließende Englischkenntnisse mit und weißt diese in der Zusammenarbeit mit Kunden einzusetzen
  • Data Science: Du konntest bereits Erfahrungen in den Bereichen Data Science, Data Engineering und Data Analytics sammeln.
  • Programmierkenntnisse: Du bringst fundierte Kenntnisse in Programmiersprachen wie Python, R oder SQL mit.
  • Datenvisualisierung: Mit Datenvisualisierungstools wie Tableau, Power BI oder ähnlichen bist du vertraut.
  • Big-Data-Technologien: Kenntnisse in Big-Data-Technologien wie Hadoop, Spark oder ähnliche sind von Vorteil.
  • Analytische Fähigkeiten: Du bringst starke analytische und problemlösende Fähigkeiten mit und kannst komplexe technische Konzepte gegenüber Kunden verständlich kommunizieren.

Responsibilities

  • Modellentwicklung: Entwicklung und Implementierung von datengetriebenen Modellen und Algorithmen, die teilweise auf künstlicher Intelligenz (KI) basieren.
  • Datenverarbeitung: Erhebung, Verarbeitung und Bereinigung von großen und komplexen Datensätzen.
  • Datenanalyse: Analyse von Daten zur Identifikation von Mustern, Trends und Zusammenhängen.
  • Berichterstellung: Erstellung und Präsentation von Berichten und Dashboards zur Visualisierung von Daten und Ergebnissen.
  • Teamarbeit: Zusammenarbeit mit verschiedenen Teams, um datenbasierte Entscheidungen zu unterstützen.
  • Prozessverbesserung: Kontinuierliche Verbesserung bestehender Datenprozesse und -strukturen.

FAQs

What industries does the Data Scientist position work in?

The Data Scientist position works in various industries, including Automotive, Banking, Insurance, Transportation, and the public sector.

What are the key responsibilities of the Data Scientist role?

Key responsibilities include model development, data processing, data analysis, report creation, teamwork, and continuous process improvement.

What qualifications are required for the Data Scientist position?

A completed master's degree (or possibly a PhD) in a quantitative field such as economics, computer science, or physics is required, along with fluency in German and English.

What programming languages should a Data Scientist be familiar with?

A Data Scientist should have strong knowledge of programming languages such as Python, R, and SQL.

Are there specific tools for data visualization that the Data Scientist should know?

Yes, familiarity with data visualization tools such as Tableau, Power BI, or similar is required.

Are Big Data technologies advantageous for this role?

Yes, knowledge of Big Data technologies like Hadoop or Spark is considered a plus for the Data Scientist role.

What personal attributes are important for a Data Scientist in this position?

Strong analytical and problem-solving skills are essential, along with the ability to communicate complex technical concepts clearly to clients.

What team culture can a Data Scientist expect at our company?

The company promotes teamwork, openness, transparency, and appreciation, fostering an international and multicultural environment.

What professional development opportunities does the company provide?

The company offers internal training and development opportunities, supporting employees' professional and personal growth.

Does the company offer flexible working hours?

Yes, the company provides flexible working hours as part of its employee benefits.

Will I have the opportunity to work with high-profile clients?

Yes, you will work with top players in their respective industries, including banking, insurance, automotive, aerospace, and life sciences.

How does the company value employees’ feedback and contributions?

The company encourages employees to share their experiences, ideas, and commitments, ensuring that these are heard and appreciated.

image

Expleo Group

Think bold, act reliable

Consulting
Industry
10,001+
Employees
1966
Founded Year

Mission & Purpose

Expleo is a global engineering, technology and consulting service provider that partners with leading organisations to guide them through their business transformation, helping them achieve operational excellence and future-proof their businesses. Expleo benefits from more than 40 years of experience developing complex products, optimising manufacturing processes, and ensuring the quality of information systems. Leveraging its deep sector knowledge and wide-ranging expertise in fields including AI engineering, digitalisation, hyper-automation, cybersecurity and data science, the group’s mission is to fast-track innovation through each step of the value chain. As a responsible and diverse organisation, Expleo is committed to doing business with integrity and working towards a more sustainable and secure society. Expleo boasts an extensive global footprint, powered by 15,000 highly-skilled experts delivering value in 30 countries and generating more than €1 billion in revenue.