06 Nov
|
Booz Allen Hamilton
|
Canada
06 Nov
Booz Allen Hamilton
Canada
Data ScientistThe 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 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. 4+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 4+ years of experience with statistical and general-purpose programming languages for data analysis 4+ years of experience analyzing structured and unstructured data sources Experience designing a data pipeline for structured and unstructured data sources Experience developing predictive data models, quantitative analyses,
and visualization of targeted data sources Ability to communicate succinctly at the strategic level while maintaining technical credibility under scrutiny Bachelor’s degree Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, career 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. 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 $77,500.00 to $176,000.00 (annualized USD). Identity StatementAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-DiscriminationAll 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. #
📌 Data Scientist (Canada)
🏢 Booz Allen Hamilton
📍 Canada