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When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.
Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.
Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.
At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.
AIS supports a Federal customer providing program and administrative support, analyzing fraud complaints, conducting proactive analysis of data, and providing specialized investigative support for criminal investigators conducting fraud and corruption investigations throughout the US.
Provide data science and advanced data analytics to support federal investigations.
Utilize data mining techniques to find patterns in large data sets
Develop prototype software to meet the needs of specific data analytical tasks.
Participate in strategic planning sessions with case agents, fraud analytical groups and task forces in an effort to identify fraud and corruption schemes affecting the department.
Provide expertise in investigations by providing data input to affidavits and subpoenas and recommending possible investigative steps to obtain additional data.
Compile and analyze large-scale complex data sets, records, investigative files, complaint data and open-source intelligence data, including witness testimony, seized evidence, subpoenaed records/data, business records, contract claims data, in an effort to develop actionable intelligence information to assist in the investigation of fraud cases.
Help analyze and build profiles/links to identify criminal networks, offenses, suspects, and trends related to complex fraud schemes and patterns.
Review and analyze various law enforcement, internal, financial, and procurement databases, and conduct open-source searches to obtain necessary records to support complex investigations and prosecutions.
Input researched and analyzed data into various professional products including analytical summaries, graphs, or charts, and power point presentations for law enforcement use, prosecutions.
Fully proficient in the use of data science and data analytics software, including but not limited to Python, SAS, Structured Query Language (SQL), i2 Analyst’s Notebook, Tableau and Centrifuge.
Experience should be a minimum of three (3) years in a Data Science role.
Bachelor’s Degree in computer science, computer engineering, data science, or directly related science or engineering field.
An Active Secret clearance.
Experience with Databricks
Experience with Apache Spark
Master’s Degree in Computer Science, Computer Engineering, Data Science, or directly related science or engineering field.
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.
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