Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting ... Microsoft Certified: Azure AI Engineer * Experience supporting Federal OIGs, DOJ, DHS, Treasury, or ...
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Remote Certifying Scientist information
See salary details
$50.5K - $58.4K
2% of jobs
$58.4K - $66.3K
0% of jobs
$66.3K - $74.2K
5% of jobs
$74.2K - $82.1K
0% of jobs
$82.1K - $90K
1% of jobs
$93.1K is the 25th percentile. Wages below this are outliers.
$90K - $98K
42% of jobs
$98K - $105.9K
1% of jobs
$105.9K - $113.8K
1% of jobs
$113.8K - $121.7K
19% of jobs
$121.7K - $129.6K
0% of jobs
$130.4K is the 75th percentile. Wages above this are outliers.
$129.6K - $137.5K
28% of jobs
$50.5K
$111.3K
$137.5K
How much do remote certifying scientist jobs pay per year?
What are the primary responsibilities and typical workflow for a Remote Certifying Scientist?
As a Remote Certifying Scientist, your main responsibilities include reviewing and certifying laboratory results, ensuring all data meets quality and regulatory standards before release. You will often work independently but collaborate regularly with lab analysts, quality assurance teams, and occasionally clients via digital communication tools. Tasks may involve analyzing documentation, verifying test results, handling result discrepancies, and maintaining detailed records, all while adhering strictly to confidentiality and compliance requirements. This role requires strong organizational skills and a high level of self-motivation due to its remote nature.
What are the key skills and qualifications needed to thrive in the Remote Certifying Scientist position, and why are they important?
To excel as a Remote Certifying Scientist, you need a solid background in laboratory science, analytical chemistry, or toxicology, often supported by a relevant degree and industry-specific certifications. Familiarity with laboratory information management systems (LIMS), chain-of-custody protocols, and regulatory compliance procedures is critical. Strong attention to detail, independent problem-solving abilities, and effective written communication are vital soft skills for remote collaboration and accurate documentation. These competencies ensure that scientific data is verified with integrity and in compliance with legal and organizational standards while working off-site.
What is a Remote Certifying Scientist job?
A Remote Certifying Scientist analyzes and certifies laboratory test results, typically in forensic toxicology or drug testing. They ensure that data meets regulatory standards and provide expert interpretation of findings. Working remotely, they review reports, verify accuracy, and may testify in legal cases if needed. Strong attention to detail, compliance knowledge, and scientific expertise are essential for this role.

Job description
Position Title - Senior Data Scientist
Location: Remote
Position Summary
The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and continuous improvement of machine learning models, predictive analytics, fraud detection methodologies, and advanced statistical analysis. The position directly supports audits, investigations, and fraud prevention initiatives by transforming complex structured and unstructured datasets into actionable intelligence.
Key Responsibilities
- Design, develop, and maintain supervised and unsupervised machine learning models.
- Develop fraud detection algorithms using statistical modeling and predictive analytics.
- Perform exploratory data analysis, feature engineering, and model optimization.
- Conduct large-scale data cleansing, normalization, and validation.
- Develop NLP solutions utilizing OCR, semantic similarity, vector embeddings, and Large Language Models.
- Support criminal investigations through advanced analytics and investigative data products.
- Produce dashboards, reports, executive briefings, and interactive visualizations using Power BI and related tools.
- Collaborate with Data Engineers to optimize cloud-based analytical environments.
- Document methodologies, analytical processes, and model performance.
- Present findings to technical and executive audiences.
Minimum Qualifications
- Master's degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Machine Learning, or related discipline (or equivalent experience).
- Minimum 10 years of advanced analytics experience.
- Minimum 5 years developing predictive models and fraud analytics.
- Minimum 3 years supporting investigative or compliance analytics.
- Experience with:
- Python (Pandas)
- SQL Server
- PostgreSQL
- Azure, AWS, or GCP
- Machine Learning
- NLP
- Power BI
Preferred Qualifications
- Azure AI Engineer
- Azure Data Scientist Associate
- TensorFlow
- PyTorch
- Scikit-Learn
- Microsoft Certified: Azure AI Engineer
- Experience supporting Federal OIGs, DOJ, DHS, Treasury, or Inspector General organizations.
About GD Resources
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
1 - 10 Employees
Headquarters location
Gaithersburg, MD, US
Year founded
2023