Data Scientist

Booz Allen Hamilton; Arlington (VA); Hybrid; USD 99,000 - 225,000; Full time

Job summary

An established industry player is seeking a skilled data scientist to unlock insights from complex data sets. This role emphasizes the use of IoT, machine learning, and AI to address global challenges across various sectors. As a data scientist, you will lead a team in developing algorithms, mentor junior members, and work closely with clients to provide actionable insights. The position offers a unique opportunity to make a real-world impact while utilizing your expertise in data science and analytics. Join a forward-thinking organization that values innovation and collaboration in a flexible work environment.

Benefits

Health Benefits

Life Insurance

Disability Insurance

Paid Leave

Professional Development

Tuition Assistance

Work-Life Programs

Dependent Care

Recognition Awards

Qualifications

• 5+ years in data science, analytics, or statistics.
• Experience with object-oriented programming languages.
• Ability to interpret model results and communicate findings.

Responsibilities

• Guide and mentor team in developing algorithms and systems.
• Analyze data sets to meet customer requirements.
• Communicate complex data insights to clients.

Skills

Data Science

Machine Learning

Data Analytics

Python

C++

Java

R

Data Visualization

Statistical Analysis

Education

Bachelor's Degree

Tools

Databricks

ElasticSearch

Apache NiFi

StreamSets

Git

Jenkins

Docker

Job description

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 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 a seasoned data scientist like 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 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. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. 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 science, data analytics, machine learning, data research, or statistics

Experience with object-oriented programming languages, including Python, C++, Java, or R

Experience identifying and analyzing data sets to meet customer requirements

Experience preparing customer data for models, including merging and aggregating data, handling anomalies, balancing, and feature selection

Ability to help interpret model results and communicate them clearly through compelling data visualizations

Nice If You Have:

Experience with supervised and unsupervised machine learning te chn iques, including neural networks, decision trees, logistic regressions, or dimension reduction

Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets

Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models

Experience with Agile development

Experience with CI / CD, including Git, Je nk ins, and Docker

Knowledge of procedural SQL language, including PL or pgSQL

Ability to explain analytic and model findings to non-te chn ical audiences

Security+ Certification

One of the following certifications Implementing Cisco Enterprise Network Core Te chn ologies Certification, AWS Certified DevOps Engineer Professional Certification, AWS Certified Solutions Architect Asso cia te Certification, Cisco Certified Spe cia list Enterprise Advanced Infrastructure Implementation, Securing Windows Server 2016, Micro sof t Azure Administrator Certification, Data Engineering on Micro sof t Azure, AWS Certified Data Engineer Asso cia te ( DEA-C01 ) , Windows Client, Endpoint Administrator, Linux+, CompTIA, Micro sof t Certified Azure Developer Asso cia te, ServiceNow Certified System Administrator, The Open Group Architecture Framework ( TOGAF ) 9, VMWare Certified Professional - Data Center Virtualization 2022, AWS Certified Machine Learning Engineer Asso cia te, or CompTIA Server+ Exam Code SK0-005 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 $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 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 a seasoned data scientist like 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 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. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. 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 science, data analytics, machine learning, data research, or statistics

• Experience with object-oriented programming languages, including Python, C++, Java, or R

• Experience identifying and analyzing data sets to meet customer requirements

• Experience preparing customer data for models, including merging and aggregating data, handling anomalies, balancing, and feature selection

• Ability to help interpret model results and communicate them clearly through compelling data visualizations

• Secret clearance

• Bachelor’s degree

Nice If You Have:

• Experience with supervised and unsupervised machine learning te chn iques, including neural networks, decision trees, logistic regressions, or dimension reduction

• Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets

• Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models

• Experience with Agile development

• Experience with CI / CD, including Git, Je nk ins, and Docker

• Knowledge of procedural SQL language, including PL or pgSQL

• Ability to explain analytic and model findings to non-te chn ical audiences

• Security+ Certification

• One of the following certifications Implementing Cisco Enterprise Network Core Te chn ologies Certification, AWS Certified DevOps Engineer Professional Certification, AWS Certified Solutions Architect Asso cia te Certification, Cisco Certified Spe cia list Enterprise Advanced Infrastructure Implementation, Securing Windows Server 2016, Micro sof t Azure Administrator Certification, Data Engineering on Micro sof t Azure, AWS Certified Data Engineer Asso cia te ( DEA-C01 ) , Windows Client, Endpoint Administrator, Linux+, CompTIA, Micro sof t Certified Azure Developer Asso cia te, ServiceNow Certified System Administrator, The Open Group Architecture Framework ( TOGAF ) 9, VMWare Certified Professional - Data Center Virtualization 2022, AWS Certified Machine Learning Engineer Asso cia te, or CompTIA Server+ Exam Code SK0-005 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 $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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