Staff Data Scientist @eSimplicity
Data and Analytics
Salary usd 160,600 - 1..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay

[Hiring] Staff Data Scientist @eSimplicity

YDay - eSimplicity is hiring a remote Staff Data Scientist. πŸ’Έ Salary: usd 160,600 - 175,000 per year πŸ“Location: USA

Role Description

We are seeking a Data Scientist to join our Data & AI team. This role will apply advanced analytics, machine learning, and artificial intelligence to large and complex datasets to identify patterns, develop predictive insights, and support high-impact decision making. The ideal candidate is a hands-on data scientist who is comfortable working directly with stakeholders, developing analytical approaches from ambiguous problems, and communicating complex findings clearly. This position is contingent upon contract award.

  • Design, develop, test, and maintain advanced statistical, machine learning, and AI models.
  • Develop supervised and unsupervised models including regression, classification, clustering, anomaly detection, and related approaches.
  • Analyze large structured and unstructured datasets using Python, Pandas, and SQL.
  • Support development and implementation of semantic layer architectures.
  • Develop analytical methods, indicators, and models to identify patterns, anomalies, relationships, and potential risk.
  • Work directly with investigative and business stakeholders to translate questions into analytical approaches and actionable findings.
  • Develop and scale natural language processing solutions, including techniques such as semantic analysis, OCR, and large language models.
  • Develop dashboards, visualizations, and analytical products to communicate methods, findings, and recommendations.
  • Document analytical methodologies, model testing, assumptions, and results.
  • Collaborate with data engineers and technical teams to support analytics and machine learning in cloud environments.

Qualifications

  • Master’s degree, Ph.D., or equivalent advanced degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.
  • 10+ years of applied experience in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.
  • Hands-on experience developing advanced AI, machine learning, predictive, and statistical models, including supervised and unsupervised approaches.
  • Hands-on Python experience, including Pandas.
  • Hands-on experience supporting semantic layer development or implementation.
  • Experience working in a modern cloud environment such as Azure, AWS, or GCP.
  • SQL experience, including SQL Server and PostgreSQL.
  • Experience developing and scaling natural language processing solutions.
  • Experience presenting analytical methods and findings to technical and non-technical stakeholders through written products, presentations, dashboards, or visualizations.
  • Excellent command of written and spoken English.

Requirements

  • U.S. citizenship is required for this position due to federal government contract requirements.
  • Ability to obtain & maintain a Public Trust clearance.

Desired Qualifications

  • Ph.D. in Computer Science, Data Science, Machine Learning, Mathematics, or a related discipline.
  • Experience leading data architecture efforts to support machine learning implementations.
  • Experience supporting fraud, waste, abuse, financial-crime, or program-integrity analytics.
  • Experience with Microsoft Azure, including Azure Machine Learning, Synapse Analytics, AI Foundry, or AI Search.
  • Experience developing fraud indicators, risk-scoring approaches, anomaly-detection models, or investigative leads.
  • Experience with OCR, semantic similarity, entity resolution, or analysis of large unstructured datasets.
  • Experience integrating LLMs or retrieval-augmented generation solutions with enterprise data.
  • Experience developing analytical dashboards or network/link visualizations.
  • Cloud, AI, or machine learning certifications.

Working Environment

  • eSimplicity supports a remote work environment operating within the Eastern time zone.
  • Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager.
  • Occasional travel for training and project meetings, estimated to be less than 5% per year.

Benefits

  • Comprehensive benefits package, including medical, dental, and vision coverage.
  • 401(k) retirement benefits.
  • Paid time off and paid holidays.
  • Life and disability insurance.
  • Additional wellness and employee support programs.

Reasonable Accommodation

eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources.

Equal Employment Opportunity

eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status.

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Staff Data Scientist @eSimplicity
Data and Analytics
Salary usd 160,600 - 1..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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