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Mid-Level Data Scientist

vor 3 Monaten


Stuttgart, Baden-Württemberg, Deutschland Booz Allen Hamilton Vollzeit

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.