Praescient Analytics, LLC is a Veteran-led, certified Woman-Owned Small Business (WOSB) founded in 2011 which specializes in implementing advanced analytics solutions across the defense, intelligence, and law enforcement communities. With over 40 contracts across 6 continents, over 70% of our employees are veterans and or have intelligence, law enforcement or counter fraud experience. We fully understand the unique challenges of our clients and work to identify, vet, implement, and enhance commercial and proprietary technologies to provide full scope solutions, because we have been there. Praescient has extensive experience designing, developing, and integrating solutions for customers including the US Army, Special Operations Command (SOCOM), US Navy (USN), US Marine Corps (USMC), US Coast Guard (USCG), Department of Justice (DOJ), Drug Enforcement Administration (DEA), and Federal Bureau of Investigation (FBI), Immigration and Customs Enforcement (ICE), intelligence community, and local law enforcement agencies, among others.

The Department of Homeland Security (DHS) Office of Inspector General, Office of Investigations (INV) has a current and projected need for mission support services. INV has been tasked to provide specialized investigative support for DHS OIG criminal investigators conducting fraud and corruption investigations throughout the US to include Puerto Rico, the US Virgin Islands and all US territories. Praescient Analytics is seeking a Data Scientist to support the Department of Homeland Security (DHS) Office of the Inspector General (OIG) Office of Investigations (INV). The Data Scientist will provide analysis of complex financial records to support DHS OIG fraud and corruption investigations to include collecting, loading and analyzing large date sets to facilitate criminal and civil casework.

Primary Responsibilities:

• Provide data science and advanced data analytics to support DHS OIG 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 DHS.
• 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, DHS, 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.

Required Qualifications:

• Hold an active Secret Clearance
• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or directly related science or engineering field.
• Master’s degree in one of the above fields is preferred.
• Fully proficient in the use of data science and data analytics software, including but not limited to Python, SAS, Sequel, i2 Analyst’s Notebook, Tableau and Centrifuge.
• 3 years of subject matter experience and graduate academic work in data science/data mining may qualify towards experience if completed in the last 2 years.
• Experience collecting/loading and analyzing large datasets to facilitate criminal and civil casework.
• Experience identifying non-trivial network patterns to identify and target fraudulent networks in support of criminal and civil investigations.
• Experience performing proactive analysis on data using cutting edge data mining techniques to major fraud and corruption.

What you can expect from us:

• Real opportunity for career growth in an environment where your achievements will be celebrated
• Constant collaboration with numerous teams to ensure client success
• A team that respects and embraces your ideas and expertise
• Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
• A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:

• Very competitive salary based on qualifications and experience
• Comprehensive, Company paid United Health Care Medical for you and your family (We pay your premiums and deductibles)
• 401(k) & 4% matching
• Travel & performance incentives
• 3 weeks paid time off (plus Federal Holidays)
• $5K annual training allowance
• $500 book allowance
• Tuition reimbursement program

Praescient Analytics is committed to providing equal employment opportunities for all. Employees and applicants without regard to race, color, age, religion, sex, sexual orientation, marital status, gender identity, national origin, legally protected physical or mental disability, genetic information, citizenship status, or status in the uniformed services of the United States, status as a disabled veteran or veteran of the Vietnam era, or on any other basis which is protected under applicable law. This includes a commitment to provide a work environment that is free from all forms of illegal harassment including sexual harassment.

• This covers all terms and conditions of employment including (but not limited to):
• Hiring, placement, promotion, transfer, or demotion of all job classifications;
• Recruiting, advertising or solicitation for employment;
• Treatment during employment;
• Rates of pay or other forms of compensation;
• Benefits;
• Selection for training;
• Company sponsored social and recreational activities; and
• Layoff or termination