This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist Identity Focus (Remote) in the United States.

This remote role offers the opportunity to leverage advanced data science techniques to detect, analyze, and prevent identity-related fraud for high-stakes government applications. You will design and implement machine learning and AI-based solutions that tackle anomaly detection, entity behavior evaluation, and data quality improvement. The position involves working with large-scale structured and semi-structured datasets, applying advanced analytics, and producing actionable insights to inform mission-critical decisions. Collaborating with cross-functional teams, you will translate complex business needs into scalable, production-ready solutions. The role emphasizes hands-on technical expertise while providing leadership in data modeling, ETL processes, and analytics best practices. Ideal candidates are highly analytical, experienced with modern data platforms, and motivated by solving challenging identity verification problems in a secure environment.

Accountabilities:

Analyze data related to identity verification and fraud detection, providing actionable recommendations
Design, architect, and implement machine learning and AI solutions for anomaly detection, entity behavior prediction, and data quality improvements
Lead data collection, surveys, and analytical studies to support data-driven decision-making
Develop advanced data models and implement ETL processes to ensure usable, mission-ready datasets
Collaborate with clients and cross-functional teams to define business needs, challenges, and objectives
Utilize analytics tools and platforms, including Databricks, Zingg, NoSQL databases, Python, R, and Spark, for large-scale data processing
Create data visualizations and dashboards to communicate insights effectively to stakeholders

Requirements

Bachelor's degree in a relevant field; additional experience may substitute if degree is outside the applicable field
Minimum 8 years of overall IT-related experience, with at least 3 years as a data engineer or analyst
3+ years of experience architecting and engineering large-scale ML/AI solutions
Proficiency in Databricks, Zingg, NoSQL, Python, R, and Spark
Experience with advanced data modeling, ETL processes, and structured data management
Strong analytical, problem-solving, and communication skills
Ability to collaborate across multiple functional groups and translate business requirements into technical solutions
US Citizenship or Permanent Resident (Green Card) status required; must be eligible to obtain Public Trust clearance
Must have lived in the United States for the past 5 years and have traveled no more than 6 months outside the US in that time (military service exempt)

Benefits

Fully remote work arrangement within the United States
Competitive salary based on experience and qualifications
Opportunities to work on cutting-edge AI/ML projects with high-impact outcomes
Professional development and training in advanced data science and identity-focused analytics
Collaborative and mission-driven work environment
Flexible work arrangements supporting work-life balance

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!