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Remote Spss Jobs in Silver Spring, MD (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Booz Allen Hamilton, Inc.

AI Researcher

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0244539 Location: Chantilly,VA,US Share job via: Share AI Researcher The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246169 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL databases. The ideal candidate will be responsible for designing data models, ensuring data ...

Cp Marine Llc

Data Analyst

Washington, DC · Remote

Operate successfully on remote projects. * Other duties as required by the team and/or assigned by RMU leadership. Qualifications Necessary Skills and Knowledge: * Intermediate/Expert knowledge ...

Goldbelt, Inc.

Data Analyst

Washington, DC · Remote

Operate successfully on remote projects. * Other duties as required by the team and/or assigned by RMU leadership. Qualifications Necessary Skills and Knowledge: * Intermediate/Expert knowledge ...

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All JobsSpss JobsRemote Spss JobsRemote Spss Jobs in Silver Spring, MD

Remote Spss information

See Silver Spring, MD salary details

$26.6K

$81.8K

$172.8K

How much do remote spss jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote spss in Silver Spring, MD is $81,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,111.00 and $105,335.00 per year, depending on experience, location, and employer.

What is a Remote SPSS?

A Remote SPSS job involves working with SPSS (Statistical Package for the Social Sciences) software to analyze data, create reports, and interpret statistical findings, all while working remotely. Professionals in this role may perform tasks such as data cleaning, statistical modeling, and survey analysis for businesses, research institutions, or academia. These roles are common in fields like market research, healthcare, social sciences, and business analytics. Strong skills in statistics, data interpretation, and SPSS software are essential for success in this position.

What are the key skills and qualifications needed to thrive in the Remote SPSS position, and why are they important?

To thrive as a Remote SPSS professional, you need advanced statistical analysis skills, a background in data science or social sciences, and experience using IBM SPSS software. Familiarity with related tools such as Excel, R, or Python, as well as certifications in data analytics or statistics, are often beneficial. Strong attention to detail, clear communication, and the ability to work independently in a virtual setting are key soft skills. These abilities are crucial for delivering accurate insights, meeting project deadlines, and collaborating effectively with remote teams.

What does a typical day look like for someone working remotely in an SPSS-focused role?

A typical day as a Remote SPSS professional involves analyzing datasets using SPSS, preparing detailed reports, and collaborating with clients or colleagues via video conferences and email. You may spend part of your day cleaning and organizing raw data, running statistical models, and interpreting outputs to support business or research objectives. Frequent communication and sharing of results with team members located in different regions are common, so proactive collaboration and effective time management are essential. Over time, you may also gain opportunities to lead projects, train new team members, or specialize in more advanced statistical methodologies.

What are popular job titles related to Remote Spss jobs in Silver Spring, MD? For Remote Spss jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Spss jobs in Silver Spring, MD look for? The top searched job categories for Remote Spss jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Spss jobs? Cities near Silver Spring, MD with the most Remote Spss job openings:
Remote Spss jobs near you
Infographic showing various Remote Spss job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% Internship, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 72% Physical, 6% Hybrid, and 22% Remote job distribution, with an average salary of $81,765 per year, or $39.3 per hour.

SAR Data Scientist/Imagery Scientist

Select Search Associates LLC

Arlington, VA • On-site, Remote

Full-time

Posted 22 days ago

Job description

Overview

We are seeking an experienced SAR Data Scientist/Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.

This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As a SAR Exploitation/Imagery Scientist, you will provide subject matter expertise in Synthetic Aperture Radar (SAR) imagery, geospatial analysis, and quantitative assessment to support data curation, imagery exploitation, and dataset development for machine learning model testing and evaluation. You will collaborate with engineers, data scientists, and mission analysts to ensure imagery products are prepared, standardized, and optimized for AI/ML applications.

Required Qualifications

  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 4+ years of experience working with Synthetic Aperture Radar (SAR) imagery, including collection methodologies, radar phenomenology, image formation, and exploitation products.
  • Experience evaluating SAR imagery quality metrics and interpreting sensor metadata, including the effects of collection geometry (e.g., graze angle, squint angle, azimuth) on SAR phenomenology.
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest.
  • Strong understanding of remote sensing principles, imagery processing, and advanced SAR exploitation techniques.
  • Excellent communication skills with the ability to effectively present SAR methodologies, imagery products, and analytical findings to both technical and non-technical audiences.
Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery and geospatial data to support intelligence, defense, or remote sensing applications.
Key Responsibilities
  • Support the Lead SAR Scientist in evaluating emerging sensor capabilities and comparing new collection platforms with existing operational systems.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required to ingest and integrate data into operational pipelines.
  • Evaluate data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing. This may include file format conversion, image tiling, geospatial normalization, and other data preparation activities to ensure compatibility with established data standards.