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Data Scientist

Booz Allen Hamilton

Wiesbaden

Vor Ort

EUR 85.000 - 194.000

Vollzeit

Vor 30+ Tagen

Zusammenfassung

A leading consulting firm in Wiesbaden is seeking a Data Scientist passionate about unlocking data potential. You will use your analytical skills to tackle global challenges in various sectors while collaborating with clients to extract meaningful insights from complex data sets. The ideal candidate has extensive experience in data analysis, statistical programming, and machine learning. This position offers a competitive salary and comprehensive benefits.

Leistungen

Health insurance
Professional development
Retirement benefits

Qualifikationen

  • 5+ years of experience in data exploration, data cleaning, or analysis.
  • Experience analyzing structured and unstructured data sources.
  • Experience with predictive data models.

Aufgaben

  • Utilize leadership skills and data science expertise.
  • Collaborate with clients to understand their data needs.
  • Guide teammates in algorithm and system development.

Kenntnisse

Data exploration
Data cleaning
Data analysis
Data visualization
Machine learning
Natural language processing

Ausbildung

Bachelor's degree

Tools

Python
R
SQL
Jobbeschreibung

Your growth matters to us - explore our career development opportunities.

BE EMPOWERED TO SUCCEED

Connect with others in our people-first culture and enhance our collective ingenuity.

SUPPORT YOUR WELLBEING

Learn how we’ll support you as you pursue a balanced, fulfilling life.

YOUR CANDIDATE JOURNEY

Discover what to expect during your journey as a candidate with us.

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. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with 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 guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:

5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining

5+ years of experience with statistical and general-purpose programming languages for data analysis

5+ years of experience analyzing structured and unstructured data sources

Experience with developing predictive data models, quantitative analyses and visualization of targeted data sources

Experience working with Maven Smart Systems

Experience with natural language processing, text mining, or machine learning techniques

Nice If You Have:

Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL

Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL

Experience with visualization packages, including Plotly, Seaborn, or ggplot2

TS/SCI clearance with a polygraph

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 $99,000.00 to $225,000.00 (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.

Data Scientist

The Opportunity:

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. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with 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 guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:

  • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining

  • 5+ years of experience with statistical and general-purpose programming languages for data analysis

  • 5+ years of experience analyzing structured and unstructured data sources

  • Experience with developing predictive data models, quantitative analyses and visualization of targeted data sources

  • Experience working with Maven Smart Systems

  • Experience with natural language processing, text mining, or machine learning techniques

  • Secret clearance

  • Bachelor’s degree

Nice If You Have:

  • Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL

  • Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL

  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2

  • TS/SCI clearance with a polygraph

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 $99,000.00 to $225,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

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