Aktuelle Jobs im Zusammenhang mit Mid-Level Data Scientist - Stuttgart, Baden-Württemberg - Booz Allen Hamilton
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Stuttgart, Baden-Württemberg, Deutschland Booz Allen Hamilton VollzeitThe OpportunityAs a data scientist at Booz Allen, you will have the opportunity to unlock the secrets held by complex data sets and drive business decisions with data-driven insights. With a strong background in data science and analytics, you will work closely with clients to understand their questions and needs, and then dig into their data-rich...
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Data Scientist, Mid
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Data Scientist, Mid
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Data Scientist, Mid
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Data Scientist, Mid
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Data Scientist, Mid
vor 2 Wochen
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Data Scientist
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Mid-Level Data Scientist
vor 3 Monaten
Position Overview:
As a Mid-Level Data Scientist, you will delve into the intricacies of data analysis, harnessing the power of machine learning, artificial intelligence, and the Internet of Things (IoT). In a world overflowing with both structured and unstructured data, your role will be pivotal in transforming these vast data sets into actionable insights that address significant global issues.
Key Responsibilities:
In this role, you will utilize your analytical acumen and leadership capabilities to drive meaningful outcomes. Your responsibilities will include:
- Collaborating with clients to ascertain their analytical needs and questions.
- Navigating through data-rich environments to extract critical information.
- Leading the development of algorithms and analytical systems.
- Employing a diverse array of tools and frameworks to synthesize disparate data points into coherent solutions.
- Delivering comprehensive insights that elucidate the significance of the data and its applications.
Qualifications:
To be successful in this position, you should possess:
- A minimum of 3 years of experience in software development.
- At least 3 years of experience in data science or analytics.
- Proficiency with BI Dashboard tools such as Qlik Sense, Tableau, or Power BI.
- Experience in constructing robust analytical models, including forecasts and historical trend analyses.
- Familiarity with SQL, Python, or R programming languages.
- Experience in Qlik dashboarding and development functions.
- The ability to work flexible hours as required for operational support.
- Strong communication skills to effectively convey development plans and present findings to diverse stakeholders.
- A valid Top Secret clearance.
- A Bachelor’s degree in a relevant field.
Preferred Qualifications:
While not mandatory, the following qualifications will be advantageous:
- Experience with DataBricks for data transformations or modeling.
- Familiarity with Cloud Native Services and web technologies, including JavaScript and CSS.
- Experience at a Joint Staff, COCOM, or component level.
- Knowledge of Advanced Analytics tools such as ADVANA or Maven.
- Strong organizational and time management skills.
- Excellent critical thinking and quantitative skills.
- Relevant certifications such as IAT or IAM Level II, or Qlik Data Architect certifications.
Security Clearance:
Candidates selected for this position will undergo a security investigation and must meet eligibility requirements for access to classified information, including a Top Secret clearance.
Career Development:
We are committed to your professional growth, offering various opportunities for career advancement, mentorship, and networking.
Work Environment:
Our flexible work culture emphasizes collaboration, whether in-person or remote, to foster a productive and supportive environment.
Equal Opportunity Employer:
We are an equal employment opportunity employer, committed to fostering an inclusive workplace that values diverse perspectives and backgrounds.