Top 3169 Data scientist Jobs in Remote Anywhere In U S

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Marathon TS —Remote
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Data Scientist (Remote)
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Data Scientist
One Stop Solution Consultancy —Remote
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Senior Data Scientist
Point Digital Finance, Inc. —Remote
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Data Scientist II
Indeed —Remote
- $125,000 - $259,000 a year
- Full-time
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- 3 years
- Military encouraged
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13d

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data scientist jobs near remote anywhere in u s

Data Scientist- Top Secret

Marathon TS
Remote

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Job Details

Contract
$78 - $85 an hour

Qualifications

AI models
Data integrity assurance
Top Secret Clearance
Time series models
Databricks
Ensemble learning
Spark
AI platforms (beyond public GPTs)
SQL
Data integrity and documentation
Outlier detection
Bachelor's degree
Supervised learning
Improving predictive model accuracy
Time Series Analysis
Model evaluation
Feature engineering

Full Job Description

Data Scientist to support critical missions within the Risk Decision Group. This role builds and validates predictive and prescriptive models on a greenfield data and AI platform in a high-trust federal environment. Work is hands-on and built to migrate — documented, portable, and transferred to the internal team. Engagement is 1 year with option to extend. Active T5/SSBI clearance required.

Responsibilities
Build risk-scoring models over synthetic tabular data, engineering features from curated medallion-layer tables.
Build anomaly and outlier detection to surface irregularities in records and process data.
Build optimization models for prioritization, routing, and resource allocation.
Validate honestly — calibration, discrimination, stability, explainability. A correctly characterized model matters more than a flattering headline metric.
Package deliverables as jobs and Asset Bundles, tracked in MLflow, and document assumptions, limitations, and what must be revalidated against real data post-ATO.

Required Qualifications
U.S. citizenship and active T5/SSBI federally adjudicated clearance required.
Hands-on Databricks.
Feature engineering on tabular and time-series data — encoding, aggregation, leakage prevention, and selection grounded in domain reasoning rather than automated search alone.
Supervised learning on tabular data: gradient boosting (XGBoost/LightGBM), regularized regression, and the judgment to know when the simpler model is the right answer.
Model calibration and evaluation under class imbalance — you can explain why AUC alone is insufficient for a risk score.
Anomaly detection: isolation forests, autoencoders, statistical process control, or comparable — with a clear account of how you validated detections without labels.
Optimization: LP/MIP or heuristic methods (OR-Tools, Pyomo, SciPy, or equivalent) applied to a real allocation or prioritization problem.
Explainability (SHAP or comparable) in a decision-support context.
Privacy-preserving synthetic data generation from CUI, PII, or comparably restricted source data — relational tabular data with distributional fidelity, cross-column correlations, referential integrity, and preservation of the rare-event structure that anomaly detection and risk scoring depend on. Includes an understanding of re-identification risk.
Strong Python, SQL, and Spark.
Government or defense contracting experience.

Preferred Qualifications
Modeling on federal investigative, vetting, fraud, or insider-threat data.
Direct experience with FedRAMP, NIST 800-171, CMMC L2, or CUI handling.
Familiarity with LLM/GenAI workflows — useful for collaboration with a peer document-intelligence workstream, but secondary to the core ML skill set.
H2O (Driverless AI, H2O-3).
MLflow, Databricks Asset Bundles, Unity Catalog.
Fairness / adverse-impact analysis in a regulated or decision-support setting.

Soft Skills
Self-directed execution against a fixed milestone with minimal oversight.
Honest reporting of model behavior — comfortable stating what synthetic-data performance does and does not establish about real-world accuracy.
Collaboration across technical and non-technical teams.
Clear documentation and active knowledge transfer.

Pay: $78.00 - $85.00 per hour

Application Question(s):

Do you have strong Python,SQL ,and Spark experience?
Do you have Government or defense contracting experience?

Education:

Bachelor's (Required)

Experience:

Hands -on Databricks: 3 years (Required)

Security clearance:

Top Secret (Required)

Work Location: Remote

Quick Apply

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