... as a senior data science and analytics professional supporting DOJ JMD/OCIO and HSTF. This role leads advanced analytics, machine learning modeling, network analysis, ETL development, Tableau ...
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Senior Data Analyst Machine Learning information
See salary details
$55K - $62.3K
0% of jobs
$62.3K - $69.6K
1% of jobs
$69.6K - $77K
3% of jobs
$77K - $84.3K
17% of jobs
$85.8K is the 25th percentile. Wages below this are outliers.
$84.3K - $91.6K
18% of jobs
The median wage is $96.2K / yr.
$91.6K - $98.9K
17% of jobs
$98.9K - $106.2K
18% of jobs
$106.5K is the 75th percentile. Wages above this are outliers.
$106.2K - $113.5K
17% of jobs
$113.5K - $120.9K
6% of jobs
$120.9K - $128.2K
1% of jobs
$128.2K - $135.5K
1% of jobs
$55K
$99.2K
$135.5K
How much do senior data analyst machine learning jobs pay per year?
What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?
| Aspect | Senior Data Analyst Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in Data Science, Statistics, or related field; experience with machine learning tools | Bachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills |
| Work Environment | Data analysis teams, business units, focus on applying ML models to business problems | Research and development teams, focus on model development, experimentation, and innovation |
| Employer & Industry Usage | Finance, healthcare, retail, and tech companies using ML for insights | Tech firms, startups, research institutions developing advanced models |
While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.
How does a Senior Data Analyst specializing in Machine Learning typically collaborate with data science and engineering teams?
What are the key skills and qualifications needed to thrive as a Senior Data Analyst Machine Learning, and why are they important?
What is a Senior Data Analyst in Machine Learning?

Other
Re-posted 18 days ago
Job description
Standardized Job Description Title: Performance/Data Analyst III
Location: Washington, DC / DOJ Facilities / JMD OCIO / NCC
Clearance or Background Needs: U.S. Citizen; active Secret clearance minimum; Top Secret/SCI eligibility strongly preferred
Experience Band: 6โ10+ years
Openings: 3 FTEs Summary The Performance/Data Analyst III serves as a senior data science and analytics professional supporting DOJ JMD/OCIO and HSTF. This role leads advanced analytics, machine learning modeling, network analysis, ETL development, Tableau dashboard enhancement, MIS data governance, and executive-level reporting. The analyst supports operational targeting, performance tracking, resource allocation, investigative prioritization, audit readiness, and interagency data integration. Key Responsibilities
Lead advanced analytics, statistical modeling, machine learning, and network analysis for HSTF operational and strategic use cases.
Integrate, clean, and merge data from DOJ MIS, FBI, DEA, HSI, ATF, IRS-CI, USAO, and other partner systems.
Develop and maintain ETL pipelines for recurring ingestion and transformation of interagency datasets.
Build predictive models for investigative prioritization, case success probability, resource allocation, and operational impact.
Maintain, enhance, and potentially migrate automated Tableau dashboards.
Produce executive, operational, congressional, and interagency performance reports.
Conduct quarterly MIS data quality audits and develop audit dashboards with remediation recommendations.
Document schemas, data dictionaries, business rules, transformation logic, and analytical methodologies.
Identify automation opportunities, workflow optimizations, and reporting improvements.
Support transition-in and transition-out activities, preserving institutional knowledge and continuity of operations.
Required Qualifications
Bachelorโs degree in Data Science, Computer Science, Statistics, Analytics, Mathematics, Information Systems, or related field.
6+ years of applied data science, advanced analytics, BI, or performance measurement experience.
Active Secret clearance; ability to obtain or maintain Top Secret/SCI eligibility where required.
U.S. citizenship by birth or naturalization.
Expert-level SQL skills for extraction, transformation, analysis, and optimization.
Strong Python and/or R experience for statistical modeling, data processing, and automation.
Tableau dashboard development and performance reporting experience.
Experience with machine learning, predictive modeling, statistical analysis, or network analysis.
Experience integrating complex, multi-source, structured datasets.
Experience with law enforcement, intelligence, investigations, asset forfeiture, financial crimes, or federal operational data.
Strong understanding of data governance, quality assurance, privacy, and secure handling of sensitive information.
Ability to communicate complex analytical findings to executives, operational teams, and non-technical stakeholders.
Preferred / Nice-to-Have Qualifications
Active Top Secret, TS/SCI, or SCI eligibility.
Prior DOJ, DHS, FBI, DEA, ATF, HSI, IRS-CI, USAO, or federal law enforcement analytics experience.
Experience with criminal network analysis, link analysis, target prioritization, or financial flow analysis.
Experience with audit readiness, reconciliation, financial management reporting, or asset forfeiture programs.
Experience designing enterprise dashboards for executive and operational audiences.
Familiarity with NIST, FISMA, CUI, PII, DOJ privacy/security policies, and federal data standards.
Experience with Tableau Server, Power BI, SAS, Alteryx, Palantir, i2 Analystโs Notebook, Neo4j, ArcGIS, or cloud analytics platforms.
Masterโs degree in Data Science, Statistics, Computer Science, Public Policy Analytics, Criminal Justice Analytics, or related field.
Tools / Technologies / Systems Python, R, SQL, Tableau, Excel, DOJ MIS, ETL pipelines, predictive models, machine learning libraries, statistical analysis tools, dashboards, data dictionaries, data governance tools, Tableau Server, Power BI, SAS, Alteryx, network analysis tools, law enforcement datasets, financial reporting systems Certifications Security+, CISSP, Tableau Certified Data Analyst, Tableau Certified Consultant, Microsoft Power BI Data Analyst, Certified Analytics Professional, AWS Certified Data Analytics, Google Professional Data Engineer, SAS Advanced Programmer, CISA, CDMP, PMP, ITIL Foundation KPIs / Performance Outcomes
Reliable integration of DOJ and interagency datasets into MIS analytics workflows.
Accurate and timely quarterly, ad hoc, congressional, and executive reports.
Improved investigative targeting and prioritization through predictive and network analytics.
Measurable reduction in data quality defects, reporting delays, and manual reporting effort.
Complete and reusable documentation of data lineage, business rules, dashboards, and model logic.
About Aitheras
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Rockville, MD, US
Year founded
2002