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Urgently Hiring Data Science Military Jobs (NOW HIRING)

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data ...

Darkhorse Geospatial LLC

Data Scientist

Falls Church, VA · On-site

$120 - $180/hr

Darkhorse Geospatial is hiring Data Scientists to turn complex, high-volume data into mission-ready intelligence for our federal customer. You'll build analytics, AI/ML models, and data pipelines ...

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

... senior military leaders. * Conduct research and analysis on relevant data science topics ... maintaining awareness of the latest developments trends tools and techniques. * Support the ...

ResolveTech Solutions Inc.

Data Analytics Engineer

Spring, TX · On-site

$96K - $116K/yr

Hiring: Data Engineer / Analytics Engineer Location: Spring, TX Local candidates only - must be ... Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related ...

New

Apple

Senior Data Scientist, Apple Ads

Austin, TX · On-site

We are hiring Data Scientists across multiple teams and areas of focus within Apple Ads. Successful candidates may be considered for a variety of opportunities depending on their experience ...

OpenAI

Data Scientist, Safety

New York, NY · On-site

$230K - $325K/yr

We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly. We are hiring Data Scientists across several teams that ...

Chewy

Director, Data Science

Bellevue, WA · On-site

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy-fully accountable for the science strategy and production implementation behind Chewy's onsite ...

Chewy

Director, Data Science

Bellevue, WA

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy--fully accountable for the science strategy and production implementation behind Chewy's onsite ...

Microsoft

Data Scientist, Datacenter

Redmond, WA · On-site

We are hiring Data and Applied Scientist to focus on creating cutting edge econometric/ ML demand ... veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Other benefits include short-term and long-term disability, company discounts, Military Leave Pay ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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Urgently Hiring Data Science Military information

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How much do urgently hiring data science military jobs pay per year?

As of Aug 21, 2026, the average yearly pay for urgently hiring data science military in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data science military job?

Data Science Military jobs involve applying data analysis, machine learning, and statistical modeling techniques to solve problems within military and defense contexts. Professionals in these roles may analyze large datasets to improve decision-making, enhance operational efficiency, and support intelligence efforts. They often work with classified or sensitive information and collaborate with other technical and military personnel to develop data-driven solutions for national security challenges.

What are the key skills and qualifications needed to thrive as a data science professional in a military context?

To thrive as a Data Science professional in the military, you need a strong background in statistics, programming (Python or R), and a relevant degree in data science, computer science, or a related field—often with security clearance. Familiarity with data analysis tools, machine learning frameworks, and secure data management systems is typically required, and certifications such as CompTIA Security+ or Certified Analytics Professional can be advantageous. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills ensure accurate data-driven decision-making and secure, actionable insights in mission-critical environments.

What are some unique challenges faced by data scientists working in military settings compared to civilian roles?

Data scientists in military environments often work with highly sensitive or classified data, requiring strict adherence to security protocols and sometimes limiting access to certain datasets or external tools. Collaboration may involve cross-functional teams, including intelligence analysts, engineers, and military personnel, necessitating clear communication of complex findings to non-technical stakeholders. Additionally, the work can be more mission-driven and time-sensitive, with projects supporting critical operations or decision-making. Adapting to the hierarchical structure and understanding military-specific objectives are also important aspects of the role.

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Data Science Intern

Faire

San Francisco, CA • On-site

$75/hr

Internship

Re-posted 7 days ago

Job description

Data Science Internship - Fall 2026

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Team

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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