Senior Data Scientist

Integres, LLC

$100K — $140K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's, Ph.D., or equivalent in data science, machine learning, computer science, mathematics, or 10 years in related fields
  • 5+ years in designing and maintaining advanced AI and predictive models
  • 5+ years in developing analytics rules using fraud analytic tools
  • 5+ years in regression and statistical models for anomaly detection
  • 3+ years providing data support for criminal investigations regarding fraud
  • Proficient in Python, especially Pandas, and modern cloud platforms (Azure/AWS/GCP)
  • 2+ years in advanced SQL analysis and developing NLP solutions

Responsibilities

  • Assist with data analytics products by applying advanced analytic methods
  • Perform data quality analysis to identify inconsistencies
  • Support existing fraud indicators and maintain their integrity
  • Develop processes for combining and analyzing large data sets
  • Collaborate with investigators to adapt analysis to case needs
  • Design and implement statistical and machine learning models for fraud detection
  • Create dashboards to visualize data methods and predictive outcomes

Benefits

  • Healthcare and insurance including medical, dental, and vision
  • 401(k) savings plan
  • Accrued paid time off (PTO)
  • Employee recognition and rewards program
  • Referral bonuses for employee recommendations
Full Job Description
Job Description
  • Position: Senior Data Scientist
  • Location: Remote
  • Client: Office of the Inspector General (OIG)
  • Candidates Required: 2
  • Work Authorization: US Citizen


Responsibilities:
  • Assist TSD with data analytic products by providing highly skilled and authoritative expertise on analytic methods.
  • Perform data quality analysis on source tables to identify any abnormalities or inconsistencies.
  • Review, maintain, and provide support using all existing fraud indicators developed by TSD.
  • Develop and refine repeatable processes for efficiently combining and analyzing large data sources (including relational tables, structured and unstructured datasets).
  • Collaborate closely with criminal investigators to determine and execute strategies to support cases; proactively address and communicate potential data quality issues and adapt analysis to shifting case needs; adhere closely to federal rules of criminal procedure governing protected information (e.g., Rule 6(e)).
  • Design, develop, and implement advanced statistical and machine learning models targeted at identifying fraud, improper payments, or non-compliance within SBA programs.
  • Utilize indicators of potential fraud, improper payments, or non-compliance to develop and test predictive models.
  • Assist in developing case leads for SBA OIG investigations based on model outcomes.
  • Coordinate with the Data Engineering Team to ensure system architecture is designed to efficiently support machine learning models.
  • Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured or semi-structured text data, utilizing OCR, semantic similarity algorithms, and large language models as needed.
  • Provide detailed documentation of all methodology, test models, and production models; maintain records in compliance with criminal evidentiary requirements
  • Develop visualizations and dashboards to demonstrate methodological choices, outcomes, and predictive capabilities of machine learning models; iteratively solicit and integrate end-user feedback
  • Provide outcomes and recommendations in multiple formats, including data summaries and visualizations for investigative staff, and executive summaries for SBA OIG leadership.
  • 1Create programming and automation techniques to improve task efficiency using tools such as SharePoint, Python, Microsoft Excel, Power BI, and others.
  • Identify new business questions to expand the scope of analysis and reporting.


Qualifications

  • Master's, Ph. D., or doctorate-level equivalent degree in data science, machine learning, computer science, mathematics, or a related field; OR 10 years of applied work experience in the same fields.
  • Five (5) or more years of hands-on experience in each of the following:
  • Designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • Developing analytic rules and models using leading-edge fraud analytic tools and best practices.
  • Developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • Three (3) or more years of hands-on experience in each of the following:
  • Providing data support for criminal investigations into fraud or abuse.
  • Manipulating data in Python. (Pandas required.)
  • Working in the modern cloud environment (Azure/AWS/GCP). Certifications preferred
  • Two (2) or more years of hands-on experience in each of the following:
  • Conducting advanced data analysis in SQL (SQL Server and PostgreSQL).
  • Developing and scaling NLP solutions.
  • Presenting methods and findings to technical and non-technical stakeholders, orally and in written products/visualizations.


The background investigation required for this position is at a sensitivity level of public trust.

Additional Information

Integres offers competitive salaries bolstered by a comprehensive benefits package, which provides safety and security for our employees and their families. Our generous benefits package includes
  • Healthcare and Insurance: medical, dental, vision, short- and long-term disability protection, basic life and AD&D insurance
  • 401(k) Savings Plan
  • Accrued Paid Time Off (PTO)
  • Employee Recognition and Rewards
  • Employee Referral Bonuses

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