Qualified Applicants Opportunities Jobs in Washington DC

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Looking for Qualified Applicants Opportunities jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Qualified Applicants Opportunities position in the Washington DC area.

Cloud Developer- TS/SCI Required

Company:

Location: Washington, DC

Posted Feb 03, 2025

Software Developer SME TS/SCI REQUIRED

Company:

Location: Washington, DC

Posted Feb 03, 2025

Manager, Information Security Office (ISO) Consultant

Company: Capital One

Location: Washington DC

Posted Feb 03, 2025

Capital One is seeking a Manager Information Security Office ISO Consultant with at least 4 years of experience in cybersecurity or information technology. The role involves acting as a central Information Security point of contact, coordinating proactive consulting, and securing design solutions. The ideal candidate should have a deep passion for securing modern computing platforms, strong conceptual thinking, and excellent communication skills. The position offers a competitive salary and comprehensive benefits. Capital One is an equal opportunity employer committed to diversity and inclusion.

Senior Data Scientist

Company:

Location: Washington, DC

Posted Feb 03, 2025

Fraud Technologist - Data and Analytics - Sr Associate

Company: PwC

Location: Washington DC

Posted Feb 03, 2025

PwC's Financial Crimes Data and Analytics team focuses on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to optimize clients' operations and achieve strategic goals. As a Senior Associate in Business Intelligence, you will focus on providing strategic insights and driving informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. Building meaningful client connections and managing others are key aspects of the role. The position requires critical thinking, problem-solving skills, and the ability to navigate complex situations. PwC values professionals who can interpret data, uphold professional standards, and continuously develop their skills and knowledge.

Frequently Asked Questions

What are the typical salary ranges for Qualified Applicants Opportunities by seniority?
Entry‑level AI/ML roles usually pay between $90,000 and $120,000 annually. Mid‑level positions range from $120,000 to $160,000, while senior roles can command $160,000 to $200,000. Lead or manager positions often exceed $200,000, reaching up to $250,000 in high‑cost‑of‑living markets or for highly specialized expertise.
What skills and certifications are required for these positions?
Core technical skills include Python, R, SQL, and statistical libraries. Proficiency with TensorFlow, PyTorch, scikit‑learn, and cloud‑native AI services (AWS SageMaker, Azure ML, GCP AI Platform) is essential. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, and Kaggle Distinction demonstrate mastery and are highly valued.
Is remote work available for Qualified Applicants Opportunities?
Yes, approximately 80% of listings list remote or hybrid arrangements. Remote teams rely on tools like Slack, GitHub, MLflow, and cloud notebooks (Colab, SageMaker Studio) to collaborate across time zones while maintaining code quality and version control.
What career progression paths exist in this field?
Typical progression starts with a Data Analyst or Junior Data Scientist, advancing to Senior Data Scientist or ML Engineer. From there, professionals can move into Lead ML Engineer, AI Architect, or Director of AI/ML, often taking on strategic product direction and cross‑functional leadership responsibilities.
What industry trends are shaping Qualified Applicants Opportunities?
Key trends include the rise of edge AI for IoT devices, federated learning for privacy‑preserving models, increased focus on AI ethics and explainability, and the rapid deployment of AI in healthcare diagnostics and drug discovery. Companies are also investing in automated ML pipelines and no‑code AI platforms to democratize model development.

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