SOSi

Data Scientist

Remote, OR, United States

Open 4 months, first seen by us 126 days ago

Pay: Pay not listedSimilar roles state $118K–$193K
Work setting: Remote — work setting source
Listed location: Remote, OR, United States
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Develop and refine predictive models and conduct exploratory data analysis
Integrate customer feedback into model iteration cycles
Submit the Predictive Model Performance Report with accuracy metrics
Run sprint-based Agile work, including backlog grooming
Prepare ROM estimate reports before each analytics project

From the employer’s posting

develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights

integrate customer feedback into model iteration cycles

submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics

implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming

provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project

What you’ll bring

All qualifications

Core experience

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or;- seven (7) years of equivalent experience in machine learning and predictive modeling.
Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
Knowledge of data visualization, feature selection, and geospatial analytics is required.
Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.
Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Qualification wording

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or;- seven (7) years of equivalent experience in machine learning and predictive modeling.

Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.

Knowledge of data visualization, feature selection, and geospatial analytics is required.

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Education & alternatives

Qualifications - Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or;- seven (7) years of equivalent experience in machine learning and predictive modeling. - Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.

Apply at SOSi

Posting record

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Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 30, 2026126 days ago
Recorded sightings: 266
Last seen by us: Nov 4, 2026
Reposted: once since May 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 126

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

SOSi is hiring

30 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Scientist hiring is picking up
Takes jobs down at a usual pace
13% of open jobs were reposted

Hiring record

See how this role fits your experience

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Python
R
SQL
AWS
Azure
SageMaker
NumPy
pandas
SciPy

Where the posting names them

- Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements. - Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. - Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

- Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. - Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows. Preferred Qualifications:

Preferred Qualifications: - Desirable but not required certifications include AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information

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Has SOSi posted this job before?

Yes. We’ve followed 2 other Data Scientist jobs there since May 2026. One came down after 53 days. One is still up.

OregonCame down after 53 days, first seen May 9
El PasoStill up after 132 days, first seen Jun 25
This jobUp 127 days so far, first seen Jun 30

Job description

View original posting ↗

Job Description

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or;
- seven (7) years of equivalent experience in machine learning and predictive modeling.
Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
Knowledge of data visualization, feature selection, and geospatial analytics is required.
Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:

Desirable but not required certifications include AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information

Work Environment

Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

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