Data Strategist, Lead
Booz Allen HamiltonAbout the role
The Opportunity:
As a data strategist, 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 strategist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. We’re looking for a data science lead like you to solve complex challenges and deliver leading-edge solutions for an Army client.
As a data strategist on our Army team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with Army enterprise 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:
Experience in working with advanced algorithms and machine learning models to produce analytical or visual products for clients
Experience with building engineering code using open-source programming languages
Experience leading data science and literacy initiatives
Ability to program in an object-oriented language, including Java, C, C++, C#, Haskell, R, or Python
Ability to communicate and report findings clearly and concisely for clients
Secret clearance
Bachelor’s degree
Nice If You Have:
5+ years of experience with applying advanced statistics, including natural language processing and machine learning engineering
Experience with developing machine learning models or Python, C++, and Java code in a team environment for git, GitLab, or GitHub
Experience in working with Cloud filesystems, including AWS S3
Experience with scaling data across distributed data engineering and computing, including Apache Nifi, Airflow, Spark, Dask, or Luigi
Experience with SQL and database technologies, including Elasticsearch, Solr, Impala, Kafka, HBase, Accumulo, Cassandra, Impala, Neo4j, ArangoDB, OrientDB, AWS DynamoDB, Redshift, PostgreSQL, MySQL, MariaDB, MongoDB, Oracle, or MSSQL
Experience leading proposal and business development opportunities
Ability to comprehend advanced statistics in data science for measuring and evaluating machine learning models
Master’s degree
AWS Data Analytics, Machine Learning, or Solutions Architect 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.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you
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