Job Description:
The AFS Team seeks an experienced Data Scientist to develop and implement scalable graph software analysis solutions that will strengthen the core of our award-winning Federal AI/ML offerings. Join an elite team creating the next generation of machine learning-infused and AI-powered applications and services designed to tackle complex mission challenges within vast national cloud environments. Utilize your expertise to propose solutions, design analytical prototypes, and rapidly partner with full-stack engineering teams to transform prototypes into production-ready systems. Furthermore, you will provide support and scale solutions to meet the ever-increasing demands of government stakeholders.
Responsibilities:
- Discover, analyze, and interpret trends or patterns in complex data sets to perform graph neural network analysis and research. Identify new insightful opportunities where mission operations can be optimized.
- Use statistics, graph databases, machine learning, and deep learning techniques to conduct fair lending analysis of internal models and decision tools.
- Write programs to extract, transform, load, and analyze large volumes of data efficiently.
- Partner with the mission stakeholders to provide consultancy and translate the mission needs into the design and development of tools, techniques, metrics, and dashboards for insights and data visualization.
- Create and utilize data visualizations to translate graph-based analytic results to uncover hidden patterns and insights for broad stakeholder understanding.
- Build scalable automation solutions utilizing SQL, Gremlin Query Language (GQL), R, Python, and other tools.
- Partner with leaders effectively, employing clear and structured communication and delivering a narrative that conveys complex information in an easy-to-understand way.
- Develop strategic problem-solving, quantitative analytics, and communication skills.
- Prepare accurate analysis and reports of the team’s predictive AI/ ML performance compared to historical, forecasted, and strategically planned financial results.
- Present complex national security information using whitepapers, spreadsheets, and charts.
- Practical interpersonal skills, including collaborating successfully with other team members. Strong oral and written communication skills with the ability to succinctly describe complex technical scenarios in simple, easily understood terms.
Here's what you need:
- Minimum 5 years of industry experience working with and analyzing large data sets.
- Bachelor’s Degree in a STEM or quantitative major (e.g., Computer Science, Finance, Accounting, Economics, Mathematics, Electrical Engineering). 5+ years of relevant experience may be substituted for a Bachelor’s degree
- Experience in data analyses, statistical programming, and optimization techniques to create models and algorithms based on machine learning architectures like Graph Neural Networks (GNNs), transformers, and diffusion models.
- Experience primarily in Python programming language and additional familiarity including, but not limited to, R, SQL, Java, SAS, and MATLAB.
- Knowledge of statistics and experience applying them to solve business problems.
Bonus points if you have:
- Experience in Multi-INT fusion or working with SIGINT (ELINT, COMINT, and/or FISINT)
- Self-starter mentality who brings an entrepreneurial spirit that thrives in environments with often ambiguous data and focuses on driving to clear answers.
- Prior experience in financial services, banking, or cloud technology industries
- Possesses strong business acumen and the ability to work through complex and ambiguous business requirements.
- Coursework or work experience applying predictive modeling techniques from statistics, mathematics, data science, neural networks, and computer programming to large data sets. Qualifying coursework may include but is not limited to statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and graph methods/modeling.
- Master's Degree or PhD in a STEM or quantitative major (e.g., Computer Science, Finance, Accounting, Economics, Mathematics, Electrical Engineering).
- Strong communication skills for socializing among our stakeholders, identifying their mission needs and problem sets, articulating issues clearly and concisely, and presenting effectively in oral and written presentations to all organizational levels.
Security Clearance:
- Active TS/SCI clearance required to start
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Maryland, New York, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Los Angeles County Information Only
If you live in or expect to work from Los Angeles County if hired for this position, please review below for important additional information.
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed in the job posting, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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