Fraud AI / Data Consultant

Socket.dev; Tysons, Washington (VA, District of Columbia); On-site; USD 90,000 - 130,000; Full time

Job summary

Socket.dev is seeking an AI/Data Consultant to design, develop, and deliver data-driven and AI-enabled solutions for clients. The role emphasizes hands-on analytics, data engineering, and applied AI use cases while building consulting, client-facing, and technical fundamentals.

You will develop analytics pipelines, dashboards, and basic ML models; tune fraud and FinCrime rules; analyze datasets; and collaborate with engineers and stakeholders to translate business needs into technical specs with

Qualifications

• Bachelor’s degree from an accredited college/university.
• Must be located within the United States and US Citizen.
• Must be able to OBTAIN and MAINTAIN a Federal or DoD PUBLIC TRUST.
• 1 year of experience in data analytics, data engineering, or data science (internship qualifies).
• Strong proficiency in Python and SQL.
• Experience with CSV/TXT, JSON, XML, Parquet, etc.
• Experience with data visualization tools (PowerBI, Tableau, Looker).
• Exposure to cloud platforms (AWS, Azure, or GCP).
• Strong analytical, problem solving, and communication skills.
• Preference for DMV location.
• Travel 25-50% for candidates not in DMV.

Responsibilities

• Support development of AI and data solutions including analytics pipelines, dashboards, and basic machine learning models.
• Develop, test, and tune fraud and FinCrime prevention and detection rules in various languages.
• Analyze structured and unstructured datasets to generate actionable insights.
• Assist in data preparation, feature engineering, and model validation.
• Translate business requirements into technical specifications under guidance.
• Contribute to client deliverables, documentation, and presentations.
• Collaborate with data engineers, data scientists, and business stakeholders.
• Apply responsible AI, data governance, and security principles in delivery.

Skills

Python

SQL

Data analytics

Data engineering

Data visualization

Education

Bachelor's degree

Tools

Databricks

Palantir

Job description

Job Family

Technology Consulting

Travel Required

Up to 50%

Clearance Required

Ability to Obtain Public Trust

What You Will Do

The AI/Data Consultant supports the design, development, and delivery of data‑driven and AI‑enabled solutions for clients. This role focuses on hands‑on analytics, data engineering, and applied AI use cases while building consulting, client‑facing, and technical fundamentals.

Key Responsibilities

• Support development of AI and data solutions including analytics pipelines, dashboards, and basic machine learning models
• Develop, test, and tune fraud and FinCrime prevention and detection rules in a variety of programming languages
• Analyze structured and unstructured datasets to generate actionable insights
• Assist in data preparation, feature engineering, and model validation
• Translate business requirements into technical specifications under guidance
• Contribute to client deliverables, documentation, and presentations
• Collaborate with data engineers, data scientists, and business stakeholders
• Apply responsible AI, data governance, and security principles in delivery

What You Will Need

• Bachelor’s degree from an accredited college/university
• Based on our contractual obligations, candidate must be located within the United States and US Citizen
• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"
• 1 years of experience in data analytics, data engineering, or data science (6 months of relative intern experience may be used as part of the 1 years required experience)
• Strong proficiency and development experience in Python and SQL
• Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
• Experience with data visualization tools (PowerBI, Tableau, Looker, etc.)
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Strong analytical, problem‑solving, and communication skills
• Preference will be given to candidates located in the DMV
• Travel will be 25-50% for candidates not located in the DMV

What Would Be Nice to Have

• Familiarity with R a plus
• Exposure to ML libraries (scikit‑learn, TensorFlow, PyTorch)
• Experience building fraud and/or fincrime monitoring rules in one or more programming languages
• Hands‑on experience developing, testing, and validating machine learning and other AI models at scale
• Experience with platforms such as Databricks or Palantir
• Consulting, healthcare, financial services, or public sector experience
• Federal Agency experience