Abrar Admin

Immersion Consulting, LLC

<div>Description:
<p>
The Senior Data Scientist provides advanced analytics, machine learning, and investigative data support. Working closely with criminal investigators, auditors, and technical stakeholders, this position develops and maintains predictive models, fraud detection methodologies, natural language processing (NLP) solutions, and analytical products designed to identify financial fraud, improper payments, and program noncompliance. The Senior Data Scientist transforms complex datasets into actionable intelligence by applying statistical, machine learning, and data visualization techniques.</p><ul><li>
Design, develop, test, calibrate, and deploy advanced machine learning and predictive analytics models.</li><li>
Develop and maintain supervised and unsupervised fraud detection methodologies using regression, classification, clustering, Bayesian, and ensemble techniques.</li><li>
Conduct data quality assessments to identify anomalies, inconsistencies, and data integrity issues.</li><li>
Analyze large structured, semi-structured, and unstructured datasets to identify fraud indicators and investigative leads.</li><li>
Collaborate with criminal investigators to support financial fraud investigations and audits.</li><li>
Integrate NLP, OCR, semantic similarity algorithms, and large language models into analytical workflows.</li><li>
Develop visualizations, dashboards, executive summaries, and analytical reports for technical and non-technical audiences.</li><li>
Document methodologies, models, testing procedures, and analytical results in accordance with evidentiary and federal requirements.</li><li>
Coordinate with Data Engineering personnel to ensure system architecture efficiently supports analytical and machine learning requirements.</li><li>
Create automated analytical solutions using Python, Power BI, SharePoint, Excel, Power Apps, and related technologies.</li></ul>
Requirements:
<ul><li>Current clearance or ability to obtain a public trust clearance.</li><li>
Master's degree, Ph.D., <b>or</b> equivalent doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, or related field; or 10 years of relevant applied experience.</li><li>
Five or more years of experience developing advanced AI systems and predictive analytics models.</li><li>
Five or more years of experience applying modern analytic methodologies and statistical modeling techniques.</li><li>
Three or more years supporting financial fraud investigations or government oversight activities.</li><li>
Three or more years working with Python and Pandas for advanced data analysis.</li><li>
Three or more years working within cloud platforms such as Microsoft Azure, AWS, or GCP.</li><li>
Two or more years of advanced SQL development experience.</li><li>
Two or more years developing and deploying NLP solutions.</li></ul></div>

Senior Data Scientist

<div>Description:
<p>
The Senior Data Engineer is responsible for designing, implementing, maintaining, and optimizing a cloud-based data architecture and data pipeline ecosystem. The position supports advanced analytics, machine learning operations, fraud detection initiatives, and investigative activities by delivering scalable, secure, and sustainable Azure-based data solutions. The Senior Data Engineer develops and maintains modern ELT/ETL pipelines, data models, source-controlled environments, and operational standards that enable efficient data ingestion, processing, storage, and access.</p><ul><li>
Design, implement, and maintain scalable Azure-based data architecture supporting audits, investigations, and fraud analytics.</li><li>
Develop, optimize, and sustain ELT/ETL pipelines within Azure Synapse Analytics and Azure Machine Learning environments.</li><li>
Migrate and integrate large-scale datasets into Azure Data Lake Storage (ADLS).</li><li>
Establish source control, version management, and development standards across data engineering assets.</li><li>
Implement pipeline monitoring, validation, logging, and error-handling frameworks.</li><li>
Design and maintain data models, data dictionaries, entity relationship diagrams, and architectural documentation</li><li>
Optimize ingestion, transformation, storage, and retrieval performance across diverse data sources and formats.</li><li>
Develop self-service data access capabilities for analysts and investigators.</li><li>
Collaborate with Data Scientists to ensure infrastructure effectively supports machine learning and AI initiatives.</li><li>
Author and maintain Standard Operating Procedures (SOPs) governing data pipeline development, deployment, and monitoring.</li><li>
Evaluate emerging AI-enabled engineering tools and LLM-assisted automation capabilities.</li><li>
Recommend and implement architectural improvements that increase efficiency, reliability, security, and cost effectiveness.</li></ul>
Requirements:
<ul><li>Bachelor's degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or related discipline; <b>or </b>5 years of relevant applied experience.</li><li>
Five or more years of experience maintaining SQL database environments and performing advanced SQL/T-SQL operations.</li><li>
Five or more years of experience designing and maintaining cloud-based ELT/ETL solutions.</li><li>
Three or more years of experience working with Azure Synapse Analytics and Azure Machine Learning.</li><li>
Three or more years of experience developing data solutions using Python and Pandas.</li><li>
Experience supporting modern data platforms and cloud-native analytics architectures.</li><li>
Demonstrated expertise in data architecture design, pipeline optimization, and operational support.</li></ul></div>

Senior Data Engineer

Join Immersion Consulting, LLC and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Immersion Consulting, LLC

About Company

Senior Data Scientist

Senior Data Engineer