20 beste Stellen als python in wiesbaden – aktuell auf Personalsuche

Data Scientist
Booz Allen —Wiesbaden
- 77.500 € – 176.000 € pro Jahr
- Teilzeit
- Informatik
- Datenanalyse
- Master
3 Tage
Cyber Systems Engineering, Lead Associate
Peraton —Wiesbaden
- 104.000 € – 166.000 € pro Jahr
- Überstunden
- Azure
- DevOps
- Bachelor
- Employee Assistance Program
Cyber Software Engineering, Lead Associate
Peraton —Wiesbaden
- 86.000 € – 138.000 € pro Jahr
- Überstunden
- Azure
- DevOps
- Java
- Employee Assistance Program
Business Systems Analyst (m/f/d) Finance Technology
Shared Service Center - Mainz —Mainz
- Überstunden
- Informatik
- SQL
- Bachelor
2 Std.
Senior AI Engineer – Agentic AI (w/m/d)
Avanade —Kronberg
- Vollzeit
- Azure
- Master
- APIs
- Weiterbildungsprogramme
AI Native Product Engineer & Orchestrator (all gender)
Accenture —Kronberg
- Vollzeit
- Informatik
- Java
- Bachelor
Data Management Analyst (all genders)
Accenture —Kronberg
- Vollzeit
- Englisch
- Java
- Projektmanagement
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Senior Systems Administration Support (UNIX/Linux OS) / Active Secret
Peraton —Wiesbaden
- 112.000 € – 179.000 € pro Jahr
- Überstunden
- Militär
- Bachelor
- Scripting
- Employee Assistance Program
Data Operations Specialist
Thompson Gray Inc. —Wiesbaden
- Ab 200.000 € pro Jahr
- Vollzeit
- Master
- SQL
- Bachelor
- Homeoffice-Möglichkeit
Direkt bewerben
Data Engineer (m/w/d)
cosnova GmbH —Sulzbach
- Wartung
- Englisch
- Datenbanken
- Weiterbildungsprogramme
- Kostenlose Verpflegung
Cloud Engineer (m/w/d) Azure
R+V Allgemeine Versicherung AG —Wiesbaden
- 14 € pro Monat
- Vollzeit
- Homeoffice
- Azure
- Informatik
- Erfahrung in der IT
- Gleitzeit
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Software Developer – Cloud (m/w/d)
LOGIC media solutions GmbH —Mainz
- Vollzeit
- Englisch
- Datenbanken
- AWS
Junior Excel & VBA Developer im Sales Operations Management (m/w/d)
FrischeParadies GmbH & Co. KG —Frankfurt am Main
- Microsoft Excel
- Python
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt
Senior Linux/Kubernetes Engineer (m/w/d)
SINC GmbH —Wiesbaden
- Vollzeit
- Azure
- Python
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Duales Studium - Bachelor of Science Angewandte Informatik (m/w/d)
R+V Allgemeine Versicherung AG —Wiesbaden
- 1.432 € – 1.648 € pro Monat
- Vollzeit
- Informatik
- Microsoft Office
- Java
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Wissenschaftliche Sachverständige/ wissenschaftlicher Sachverständiger für Reverse Engineering mit Schwerpunkt Mobile & Embedded Security und Kryptoanalyse (w/m/d) : Stellenangebot_Typ neu ;
Bundeskriminalamt —Wiesbaden
- Teilzeit
- Englisch
- Master
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
AI & Data Science Consultant (all genders)
Accenture —Kronberg
- Vollzeit
- Azure
- Doktorat
- Englisch
- Homeoffice-Möglichkeit
Expert:in für Data Science & Applied Machine Learning
SBI - Software Beratungs-Institut AG —Eschborn
- Azure
- Doktorat
- Englisch
AI Engineering Internship (m/w/d)
Cheil Germany GmbH —Eschborn
- Vollzeit
- Informatik
- Master
- SQL
- Gleitzeit
- Employee Assistance Program
Direkt bewerben
After-Market Quality Test Engineer (m/f/d)
Da Vinci Engineering GmbH —Raunheim
- Datenanalyse
- Datenbanken
- Python
14 Std.

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Data Scientist

Booz Allen -
Wiesbaden

Jetzt bewerben

Details zur Stelle

Teilzeit | Vollzeit
77.500 € – 176.000 € pro Jahr
vor 3 Tagen

Qualifikationen

ArcGIS
Power BI
Informatik
Spark
R
Datenanalyse
Apache Hive
Tableau
Master
SQL
AWS
Bachelor
Machine Learning
Scala
Kafka
Datenvisualisierung
Maven
Python
Data Science
Analytik
Hadoop

Vollständige Stellenbeschreibung

Data Scientist

The Opportunity:

As a Data Scientist, you'll bring your technical, computer science, data analysis and science expertise to collaborate, design and build innovative solutions at an Army Service Component Command.

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities.

On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

What You'll Work On:

Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
Develop and maintain Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data.
Build modular applications and workflows leveraging Python, and Foundry AIP.
Assist in providing training to guide stakeholders in using Maven Smart System applications.
Support testing, debugging, and performance tuning of Foundry applications.
Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.

Join us. The world can’t wait.

You Have:

5+ years of experience utilizing programming and querying languages, including Python, R, Scala, or SQL
5+ years of experience developing and maintaining data applications for reporting and analytics
Experience creating workflows for retrieving, parsing, and processing structured and unstructured data
Experience with Maven Smart System or Palantir tools, such as Foundry
Experience creating solutions within a collaborative, cross-functional team environment
Ability to manage tasks and projects independently with minimal guidance and direction
Secret clearance
Bachelor’s degree in Computer Science, Data Science, or Mathematics

Nice If You Have:

Experience with distributed data and computer tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience with data visualization or geospatial tools, such as Tableau, Qlik, PowerBI, or ArcGIS
Experience working within a Combatant Command or other DoW organizations
Top Secret clearance
Master's degree in Computer Science, Data Science, Mathematics, or a related technical field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Jetzt bewerben

Erweiterte Suche

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Expert:in für Data Science & Applied Machine Learning

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