Data Scientist and Solutions Engineer

2 weeks ago


McLean, United States Booz Allen Hamilton Full time

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 artifi cia l 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 turn these complex data sets into useful information to solve global challenges. 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 and mentor your team as you oversee 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.

As a data scientist, you will develop, define, and document as-is design features, target architectures, and transformational roadmaps, provide the vision for how the U.S. Army ecosystem should evolve over time, and c ond uct trade studies to identify and compare alternative design solutions, as needed. Recommend data solutions to complex or ambiguous client challenges and apply Agile, Cloud Infrastructure, and Sof tware Management expertise in defining the scope and appropriate approaches to new and emerging opportunities.

Join us. The world can’t wait.

You Have:

  • 8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 8+ years of experience with statistical and general-purpose programming languages for data analysis
  • 8+ years of experience analyzing structured and unstructured data sources
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources, and leading the development of solutions to complex programs
  • Experience leading a team, including projects and deliverables
  • Experience with natural language processing, text mining, or machine learning te chn iques
  • Experience in Web-based systems architecture and enterprise application environment, Big Data storage systems, Cloud, DoD networks, and infrastructure
  • Knowledge of DoD and Army policies on data, integrated product and process development ( IPPD ) , and integrated product team ( IPT ) management

Nice If You Have:

  • Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Knowledge of Army Data programs and capabilities
  • Possession of excellent interpersonal skills
  • Possession of excellent verbal and written communication skills
  • PMP Certification

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 $110,100.00 to $250,000.00 (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 and Solutions Engineer

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 artifi cia l 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 turn these complex data sets into useful information to solve global challenges. 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 and mentor your team as you oversee 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.

As a data scientist, you will develop, define, and document as-is design features, target architectures, and transformational roadmaps, provide the vision for how the U.S. Army ecosystem should evolve over time, and c ond uct trade studies to identify and compare alternative design solutions, as needed. Recommend data solutions to complex or ambiguous client challenges and apply Agile, Cloud Infrastructure, and Sof tware Management expertise in defining the scope and appropriate approaches to new and emerging opportunities.

Join us. The world can’t wait.

You Have:

  • 8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 8+ years of experience with statistical and general-purpose programming languages for data analysis
  • 8+ years of experience analyzing structured and unstructured data sources
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources, and leading the development of solutions to complex programs
  • Experience leading a team, including projects and deliverables
  • Experience with natural language processing, text mining, or machine learning te chn iques
  • Experience in Web-based systems architecture and enterprise application environment, Big Data storage systems, Cloud, DoD networks, and infrastructure
  • Knowledge of DoD and Army policies on data, integrated product and process development ( IPPD ) , and integrated product team ( IPT ) management
  • Secret clearance
  • Bachelor’s degree

Nice If You Have:

  • Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Knowledge of Army Data programs and capabilities
  • Possession of excellent interpersonal skills
  • Possession of excellent verbal and written communication skills
  • Master's degree
  • PMP Certification

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 $110,100.00 to $250,000.00 (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.

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.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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