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채용Booz Allen Hamilton

Data Scientist, Mid

Booz Allen Hamilton

Data Scientist, Mid

Booz Allen Hamilton

Arlington, VA

·

On-site

·

Full-time

·

1mo ago

필수 스킬

Python

SQL

Kafka

Spark

Machine Learning

Data Scientist, Mid

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 analytical skills and data science knowledge to create real-world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients 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:

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

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

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

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

  • Experience leading the development of solutions to complex programs

  • Experience building and applying machine learning techniques

  • Secret clearance

  • Bachelor’s degree in Mathematics, Physics, Economics, Computer Science, or Data Science

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 Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL

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

  • Experience working with Air Force clients

  • Experience with effectively managing teams and trusted client relationships

  • Experience with developing visually compelling PowerPoint decks and other products to support client delivery

  • Experience working with Advana or Vault

  • TS/SCI clearance

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 $77,600.00 to $176,000.00 (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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Booz Allen Hamilton 소개

Booz Allen Hamilton

Booz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.

10,001+

직원 수

McLean

본사 위치

$4.2B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

4.0

보상

2.5

문화

4.2

커리어

2.8

경영진

3.5

68%

친구에게 추천

장점

Supportive management

Good work-life balance

Flexible work arrangements

단점

Low compensation

Limited growth opportunities

Long hours during peak periods

연봉 정보

37개 데이터

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · DATA ANALYST

1개 리포트

$164,920

총 연봉

기본급

$143,400

주식

-

보너스

-

$164,920

$164,920

면접 경험

7개 면접

난이도

2.7

/ 5

소요 기간

21-35주

합격률

43%

경험

긍정 29%

보통 28%

부정 43%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Hiring Manager Interview

5

Team Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

System Design

Culture Fit