Data Scientist (Cleared)

Elder Research; Arlington (VA); Hybrid; USD 80,000 - 140,000; Full time

Job summary

An established industry player is seeking talented Data Scientists to join their innovative team. This role focuses on leveraging AI and data analytics to combat fraud and enhance crime prevention strategies. Candidates will develop predictive models, utilize advanced graph data science techniques, and collaborate with law enforcement to tackle complex challenges. With a commitment to continuous learning and a supportive work environment, this opportunity offers a chance to make a significant impact while enjoying a healthy work-life balance. Join a team that values curiosity, integrity, and teamwork in a dynamic consulting atmosphere.

Benefits

Flexible time off

Weekly Tech Talks

Lunch provided at office

Parental leave

Bereavement leave

PTO policies

Qualifications

• 3-6 years of relevant work experience in data science or analytics.
• Strong background in Python and graph data science techniques.

Responsibilities

• Develop predictive models and machine learning algorithms.
• Analyze large data sets to detect potential fraudulent activities.

Skills

Python (Jupyter Notebook)

Entity Resolution

Link Analysis

Graph data science and Neo4j

Data visualization and modeling

Education

Bachelor’s Degree in a quantitative discipline

Master’s Degree in a quantitative discipline

Tools

Neo4j

Job description

Career Opportunities with Elder Research

A great place to work.

Careers At Elder Research

Current job opportunities are posted here as they become available.

Location(s): Arlington, VA (Hybrid, candidates must live in the greater Washington, DC metro area)

Workplace: Hybrid

Clearance Required: MUST HAVE AN ACTIVE SECRET CLEARANCE

Requisition Type: Pipeline – this is not a current opening but rather a talent pipeline for Data Scientists of all levels with active clearances interested in supporting the U.S. Government. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available.

Position Overview:

AI / Analytics Platform Data Scientists are responsible for leveraging AI and data analytics to detect, prevent, and investigate fraud and other crimes. Their job responsibilities include:

• Develop and implement predictive models and machine learning algorithms to identify patterns.
• Use AI/analytics platforms to analyze complex and large volumes of data from various sources to identify potential fraudulent activities.
• Apply graph data science techniques to uncover hidden relationships and detect fraudulent networks.
• Utilize Neo4j and other graph databases to model complex relationships in fraud/criminal investigations.
• Develop fraud detection models leveraging network analytics, link prediction, and anomaly detection in transaction data.
• Collaborate with law enforcement, regulatory bodies, and other stakeholders to understand their data needs and translate them into data science projects.
• Communicate complex quantitative analyses in a clear, precise, and actionable manner to non-technical stakeholders.
• Keep abreast of the latest developments in AI, machine learning, and data science.
• Ensure the proper implementation of data privacy regulations and best practices in data security within all AI and analytics projects.
• Participate in the development of strategies and policies related to crime prevention and detection.
• Assist in preparing reports and presentations for senior management and other stakeholders.

Position Requirements:

• Python (Jupyter Notebook)
• Entity Resolution
• Link Analysis
• Graph data science and Neo4j for fraud detection and AML
• Data visualization and modeling
• Clearance Required: Current Secret required
• Must reside in the DC Metro area and be able to attend regularly scheduled in-person meetings

Required Education:

• Bachelor’s Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 3-6 years of relevant work experience.
• Or, a Master’s Degree with 2+ years of relevant work experience

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.