Job title: Research Data Scientist
Company: Booz Allen Hamilton
Job description: Research Data ScientistThe Opportunity:
As an analytics professional, 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. As a data scientist, 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, you know the answers are in the data.We have an opportunity for you to use your leadership and analytical skills to improve strategic innovation across sectors of the federal government. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help federal organizations make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science and machine learning for good in the federal government.Join us. The world can’t wait.You Have:
- 2+ years of experience with machine learning, data science, software engineering, data research, or analytics in a professional or academic environment
- Experience with research practices and methodologies
- Experience with frequent scripting language use, including Python and R, and packages used in machine learning applications or advanced data analytics
- Ability to work independently and achieve successful results with minimal guidance
- Ability to articulate workflows and explain technical concepts to non-technical audiences
- Ability to obtain a Secret clearance
- Bachelor’s degree
Nice If You Have:
- Experience with machine learning applications and tools
- Experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications
- Experience with feature selection, computer vision or natural language processing model building, and optimization using supervised and unsupervised machine learning techniques to support analytic objectives
- Experience in a leadership role, including project management and project evaluation
- Experience performing data exploration and data analysis on multiple data types, including images, video, and text
- Ability to exhibit flexibility and initiative when dealing with ambiguous and fast-paced situations
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.CompensationAt 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 $54,000.00 to $123,000.00 (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 StatementAs 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.
EEO CommitmentWe’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.
Expected salary: $54000 – 123000 per year
Location: USA
Job date: Fri, 01 Nov 2024 01:30:12 GMT
Apply for the job now!
