Onsite Applied AI Engineer opportunity in San Francisco building production autonomous agents, memory systems and evaluation infrastructure. $150,000-$250,000 plus equity.
Lead Data Scientist | Remote – GA, LA, OK, TN or TX
Location: Remote within Georgia, Louisiana, Oklahoma, Tennessee or Texas
Primary Business Location: Houston, Texas
Work Arrangement: Fully remote within an approved state
Employment Type: Full-time, permanent
Industry: Healthcare and Health Technology
Experience Level: Experienced Individual Contributor / Technical Lead
Reports To: Manager, Data Science
Base Salary: $143,000–$180,000
Travel: Up to 20%
Relocation Assistance: Not available
Visa Sponsorship: Limited sponsorship may be considered
Position Overview
A leading healthcare organization is seeking an experienced Lead Data Scientist to lead high-priority analytical projects and solve complex organizational challenges using advanced statistical analysis, machine learning, predictive modeling and data visualization.
This is a hands-on technical leadership position. The successful candidate will remain actively involved in data exploration, model development, testing and interpretation while guiding projects, partnering with internal customers and mentoring other data scientists.
Key Responsibilities
• Lead analysis of complex structured and unstructured datasets.
• Develop, test, validate and maintain machine-learning and predictive models.
• Apply regression, time-series forecasting, classification, clustering, decision trees, neural networks, A/B testing and hypothesis testing.
• Evaluate model accuracy, stability, interpretability and fitness for purpose.
• Document methodologies, assumptions, limitations and validation results.
• Research and resolve data-quality problems across incomplete or inconsistent sources.
• Build repeatable analytical processes and production-ready solutions.
• Translate complex findings into clear recommendations for technical teams, business leaders and executives.
• Lead projects from discovery through modeling, implementation and measurement.
• Mentor data scientists and raise technical standards across the team.
• Partner with engineering, analytics, clinical and operational stakeholders.
• Support responsible and practical use of advanced analytics within healthcare.
Required Qualifications
• Advanced degree or equivalent experience in data science, statistics, mathematics, computer science, engineering, economics or a related quantitative discipline.
• Extensive professional data-science and advanced-analytics experience.
• Expert knowledge of statistical analysis, machine learning and predictive modeling.
• Strong programming experience using Python, R, SQL or comparable tools.
• Experience working with large, complex datasets and resolving data-quality issues.
• Ability to explain sophisticated concepts clearly to non-technical audiences.
• Strong project leadership, consulting and stakeholder-management skills.
• Ability to remain hands-on while leading technical delivery.
• Residence in Georgia, Louisiana, Oklahoma, Tennessee or Texas.
Preferred Qualifications
• Healthcare or health-technology experience.
• Experience deploying and monitoring models in production environments.
• Cloud analytics, distributed-computing or big-data experience.
• Experience mentoring technical professionals and leading cross-functional projects.
• Knowledge of data governance, privacy and responsible AI practices.
Equal Opportunity
The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected by applicable law.
CTO Co-Founder – Healthcare Payments AI Startup – New York, NY
CTO Co-Founder – Healthcare Payments AI Startup
📍 Location: New York, NY (Onsite)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
💰 Compensation: $150,000 Base + 15–20% Equity
Overview
A funded early-stage healthcare AI startup is seeking a hands-on CTO Co-Founder to lead technology strategy, product development, architecture, and engineering execution.
The company is building an AI-powered platform focused on transforming healthcare payments, claims processing, revenue cycle management, and financial workflow automation. This is a true 0-to-1 opportunity for a technical leader who wants to build both the product and the company from the ground up.
Key Responsibilities
Technology & Product Leadership
Own the technology vision, architecture, and engineering roadmap.
Build and launch the company’s initial MVP and commercial platform.
Evaluate and select the technology stack and infrastructure.
Design secure, scalable systems for healthcare payment and claims workflows.
AI & Workflow Automation
Build AI-driven workflow automation and operational intelligence capabilities.
Develop data ingestion, normalization, and decision-support solutions.
Implement automation for claims, reimbursement, reconciliation, and payment processes.
Engineering Leadership
Recruit, hire, and lead the founding engineering team.
Establish development standards, processes, and engineering culture.
Drive execution from concept through production deployment.
Strategic Collaboration
Work directly with the CEO, investors, advisors, and early customers.
Translate customer needs into scalable technical solutions.
Support fundraising, product strategy, and commercial growth initiatives.
Required Qualifications
Experience
✔ 0-to-1 Product Development Experience
✔ Hands-On Software Engineering & Architecture
✔ AI / ML & Workflow Automation
✔ Engineering Team Leadership
✔ Healthcare Payments, Revenue Cycle, FinTech, or Transaction-Based Systems Experience
✔ 10+ Years of Technical Experience
Education
Bachelor's Degree in Computer Science, Engineering, or related field.
Graduate of a top-tier university strongly preferred.
Preferred Backgrounds
Healthcare Technology
Revenue Cycle Management (RCM)
Claims Processing Platforms
Payments & FinTech
AI Workflow Automation
Enterprise SaaS
Data Infrastructure
Healthcare Interoperability
Ideal Candidate
The ideal candidate is a builder-first technical leader who has:
Personally built and launched software products from MVP to production.
Experience operating in startups or high-growth environments.
Strong software architecture and coding skills.
Experience developing AI-powered products or automation platforms.
Knowledge of healthcare payments, claims, revenue cycle, or other regulated transaction-heavy industries.
Experience recruiting and leading engineering teams.
Ability to communicate effectively with customers, executives, and investors.
Healthcare payments experience is highly desirable but candidates from fintech, enterprise workflow automation, or regulated data-intensive industries will also be considered.
Candidate Snapshot
Requirement
Details
Level
CTO / Co-Founder
Experience
10+ Years
Location
New York, NY (Onsite)
Industry
Healthcare AI / FinTech
Education
Bachelor's Degree Required
Equity
15–20%
Relocation
No
Sponsorship
No
Screening Questions
Have you personally built and launched a software product from MVP to production?
Describe your experience leading 0-to-1 product development initiatives.
What AI, machine learning, or workflow automation products have you built?
Do you have experience in healthcare payments, revenue cycle management, claims processing, or fintech?
Have you recruited and led engineering teams in a startup or high-growth environment?
What programming languages, frameworks, and cloud technologies have you used to build scalable products?
Are you comfortable being a hands-on contributor while also leading the engineering organization?
Are you able to work onsite in New York City?
What Makes Someone Successful in This Role?
Founder mentality and bias toward action.
Strong technical depth with hands-on coding capability.
Experience building products in regulated, transaction-heavy environments.
Ability to move quickly from concept to commercial product.
Strong communication skills with both technical and non-technical stakeholders.
Passion for using AI to solve complex operational challenges.
Desire to build and scale a company, not just a technology platform.
Lead Data Scientist | Houston, TX | $125K–$140K + Equity + Hybrid Flexibility
Lead Data Scientist
Location: Houston, TX (Onsite)
Level: Senior
Reports To: Director of Data Science
Salary Range: $125,000 – $140,000 (USD)
Benefits: Medical, Dental, Vision, Life Insurance, Retirement, Equity, Paid Time Off, Work From Home Flexibility
About the Role
We are seeking a Lead Data Scientist to spearhead transformative projects that drive impact across the organization. This is a hands-on leadership role where you’ll design advanced models, mentor a team of talented data scientists, and partner with senior stakeholders to solve complex challenges. If you thrive at the intersection of technology, business strategy, and innovation, this role offers the perfect platform to showcase your expertise.
What You’ll Do
Lead high-visibility projects that directly influence business strategy and decision-making.
Develop and deploy custom algorithms, models, and predictive analytics that unlock value from complex data sets.
Translate technical insights into clear, compelling stories for executive-level audiences.
Mentor and coach junior data scientists, elevating the technical capabilities of the team.
Research and implement cutting-edge machine learning techniques to improve operational performance.
Partner with cross-functional teams to identify opportunities, resolve data challenges, and optimize processes.
Stay at the forefront of emerging tools and vendors, recommending best-fit solutions.
What You Bring
7+ years of professional experience in data science, with proven project leadership.
Strong background in machine learning, advanced statistical modeling, and SQL database management.
Experience in healthcare data, EHR systems, or financial/revenue cycle data preferred.
Demonstrated ability to design scalable solutions using AWS (certification required).
Hands-on expertise in Cogito and other data management platforms.
Exceptional communication skills – able to engage both technical teams and executive stakeholders.
A problem-solving mindset with the ability to thrive in fast-paced, multidisciplinary environments.
Interview Process
Recruiter Interview
Hiring Manager Interview
Panel Interview
Why Join Us?
Here, your work won’t just be about numbers – it will be about impact. You’ll have the chance to combine advanced data science with real-world problem solving, shaping decisions that matter.
We celebrate growth, encourage innovation, and foster a culture of collaboration. You’ll be supported by mentors, inspired by peers, and empowered to chart your own career path. Our workplace has been consistently recognized as one of the Top Workplaces in the region, a testament to our values-driven culture and commitment to meaningful work.
Benefits at a Glance
Comprehensive medical, dental, and vision insurance
Life insurance and retirement plans
Equity opportunities
Generous paid time off
Flexible work-from-home options
AWS Bedrock Developer (GenAI Engineer) | $70/hr Contract | Dallas, TX | 6-Month Project
AWS Bedrock Developer
📍 Location: Dallas, TX (Onsite)
📅 Contract Length: 6 Months
💵 Pay Rate: $70 per hour
💼 Employment Type: Contract | Mid-Senior Level
🛂 Visa Sponsorship: Not available
🚚 Relocation Assistance: Not available
👤 Openings: 1
About the Role
We are seeking an experienced AWS Bedrock Developer / GenAI Engineer with a strong background in cloud computing and generative AI. This role will focus on transforming Contact Center applications using GenAI and leveraging AWS Bedrock to deliver scalable, innovative solutions.
You’ll work hands-on with AWS services, Terraform, and automation frameworks, helping to design, integrate, and optimize cutting-edge GenAI solutions in a mission-critical environment.
Key Responsibilities
Design and implement GenAI solutions using AWS Bedrock.
Lead transformation of Contact Center applications with generative AI capabilities.
Automate server and infrastructure provisioning using Terraform.
Develop and optimize AWS Lambda functions, Step Functions, and SSO integrations.
Integrate on-premise systems with AWS Bedrock for seamless enterprise adoption.
Collaborate with cross-functional teams to deliver scalable and secure architectures.
Must-Have Skills
10+ years of IT experience.
7+ years of AWS Cloud Computing expertise.
Proven hands-on experience with AWS Bedrock for GenAI solutions.
Strong experience with Terraform for infrastructure as code.
Expertise in AWS Lambda, Step Functions, and SSO integrations.
Experience integrating on-premise systems with AWS Bedrock.
Ideal Candidate Profile
Bachelor’s degree in Computer Science, Engineering, or related field.
Strong technical communicator, able to work with technical and business stakeholders.
Ability to design and implement scalable, secure, and innovative AI-driven solutions.
Key Skills
AWS Bedrock | GenAI | AWS Cloud | Terraform | AWS Lambda | Step Functions | SSO Integrations | Contact Center Transformation | Cloud Automation
⚡ This role offers the chance to work at the forefront of Generative AI innovation in the enterprise space, shaping next-generation solutions for large-scale applications.
Risk & Governance Lead – AI & Data Governance | $150K–$165K | McLean, VA / Plano, TX / NYC (Hybrid)
Risk & Governance Lead – Investments & Capital Markets (AI & Data Governance)
📍 Location: Hybrid – 3 days onsite in McLean, VA, Plano, TX, or New York, NY
💼 Employment Type: Full-Time | Mid-Senior Level
💲 Salary Range: $150,000 – $165,000 USD (eligible for annual incentive program)
🎁 Benefits: Comprehensive total rewards package, health coverage, retirement plan, paid time off, and professional development opportunities
🚚 Relocation: Not available
🛂 Visa Sponsorship: Not available
✈️ Travel: None
Shape the Future of AI Risk & Data Governance
Are you passionate about safeguarding the responsible use of AI and ensuring the integrity of critical financial data? This is your opportunity to step into a high-impact leadership role at the intersection of risk management, data governance, and emerging technology.
As the Risk & Governance Lead for Investments & Capital Markets, you will champion data security and compliance for AI-driven models, working closely with senior leaders, technology teams, and compliance experts. Your mission: build a governance framework that balances innovation with regulatory rigor—ensuring AI and data assets are managed ethically, securely, and strategically.
Your Impact
Partner Across the Enterprise – Work with legal, technical, and business teams to identify model data risks and influence decision-making
Drive Risk Assessments – Evaluate and mitigate risks in divisional data management and AI initiatives
Develop & Enforce Policies – Shape governance standards for model data in line with industry regulations and best practices
Champion Ethical AI – Advocate for transparency, fairness, and accountability in AI model design and use
Enhance Security – Collaborate with InfoSec teams to address vulnerabilities in model data management
Ensure Compliance – Oversee adherence to AI and data governance policies, providing guidance and oversight
Build Awareness – Lead training programs on AI ethics, data management, and risk best practices
Measure What Matters – Create KPIs, KRIs, and reporting frameworks to track governance effectiveness
What You Bring
Bachelor’s degree (or equivalent experience)
8+ years in relevant fields, including at least 6 years in operational risk management, compliance, or technology risk
Strong understanding of data management best practices and AI technologies (machine learning, NLP, large language models, computer vision)
Knowledge of regulations such as GDPR, CCPA, and industry standards (e.g., IEEE, NIST, ISO/IEC)
Proven ability to build and maintain cross-functional relationships
Exceptional communication skills—able to bridge technical and business audiences
Preferred:
2–5 years of leadership experience
Experience with model risk management in financial services
Familiarity with housing finance or capital markets
Why This Role?
💡 High-Impact Work – Influence AI governance across a major financial institution
🌐 Cross-Functional Exposure – Collaborate with leaders across legal, compliance, risk, and technology
📈 Career Development – Access to training, mentorship, and advancement opportunities
🏦 Mission-Driven Organization – Be part of a team making housing more accessible and affordable nationwide
The Ideal Candidate
You’re a risk leader with a passion for AI governance, a deep understanding of data security frameworks, and the ability to balance compliance with innovation. You think strategically, act decisively, and know how to turn complex governance requirements into actionable, enterprise-wide practices.
Sr. Director, AI & Data Science | $190K–$300K + Bonus | Wayzata, MN (Hybrid)
Sr. Director, AI & Data Science
📍 Location: Wayzata, Minnesota, United States (Hybrid – scheduled work from home days)
💼 Industry: Information Technology
📊 Category: Business Intelligence
📌 Job Type: Full-time | Onsite with WFH flexibility
💲 Compensation: $190,000 – $300,000 + bonus eligibility
📈 Relocation Assistance: Possible for ideal candidate
About the Company
Our company’s size and scale allow us to make a positive global impact. We are a family company providing food, ingredients, agricultural solutions, and industrial products that are vital for living. With 160,000 colleagues across 70 countries, we connect farmers, customers, and families with essentials every day.
Job Purpose
The Sr. Director of AI & Data Science is a visionary leader responsible for driving high-impact AI applications across the business. This role partners with executives to identify opportunities where AI can provide strategic advantage, shaping how data science transforms decision-making, operations, and customer experience.
The leader will:
Champion responsible AI practices (governance, risk mitigation, ethics).
Deliver measurable business outcomes from AI investments.
Lead and scale a global team of data scientists (transitioning from regional to global scope).
Key Responsibilities
Partner with business leaders to identify and accelerate AI opportunities.
Translate complex AI concepts into business-focused narratives for executives.
Provide strategic oversight of AI product delivery (scope, timeline, budget).
Champion innovation, continuous improvement, and AI adoption across the business.
Develop a community of practice for global data scientists to drive reuse and alignment.
Build and maintain strategic partnerships and alliances to maximize value.
Lead, coach, and develop a team of 16+ data scientists in an inclusive culture.
Manage large budgets, ensure measurable ROI, and deliver against business value targets.
Minimum Qualifications
Bachelor’s in Data Science, Computer Science, Math, Engineering, or related field (or equivalent experience).
8+ years of related work experience.
Experience with at least two machine learning approaches: supervised, unsupervised, reinforcement learning.
Proven ability to present complex AI solutions to non-technical audiences.
Preferred Qualifications
Master’s or PhD in Data Science, Computer Science, Math, Engineering, or related field.
5+ years of leadership experience (managing teams of data scientists).
Experience driving enterprise-wide analytics adoption.
Familiarity with CI/CD pipelines, distributed computing frameworks, and AWS.
Background in software development/version control.
Strong business acumen and experience presenting to senior executives.
Experience in Agriculture or related industries is a plus.
Compensation & Benefits
💲 Base Salary: $190,000 – $300,000
🎯 Bonus Eligible: Yes
🏥 Comprehensive health & wellness benefits
🍼 14 weeks parental leave + prevention & wellness programs
🌎 Sick & Safe Leave: 1 hour for every 30 worked (up to 48 hours annually, unless otherwise required by law)
Candidate Profile
7–10+ years’ experience in AI, Data Science, and Analytics.
Proven ability as a strategic champion to drive AI adoption at scale.
Leadership experience managing diverse data science teams.
Strong emotional intelligence (EQ) and collaborative leadership style.
Comfortable influencing senior executives and non-technical stakeholders.
✅ Security Clearance Required: No
✅ Visa Candidates Considered: No
✈️ Travel: Occasional
Full-Stack Developer | €4,354–€6,218 + 13th-Month Bonus | Hybrid Utrecht, Netherlands
Full-Stack Developer
📍 Location: Utrecht, Netherlands (Hybrid – onsite & remote)
💼 Employment Type: Full-time
💵 Salary Range: €4,354 – €6,218 gross per month (Annual: €60,782 – €84,939)
🎁 Bonus: 13th-month bonus included
🌴 Vacation: 37 days per year
About the Role
Are you a versatile engineer who thrives on building robust, full-stack solutions from the ground up? This role offers you the opportunity to design and develop the digital backbone powering AI-driven solutions in the real estate market.
You’ll work closely with AI engineers, data scientists, and DevOps specialists to deliver high-performance applications and cutting-edge GenAI solutions. From frontend user interfaces to backend systems and secure authentication protocols, you’ll play a key part in shaping scalable, intelligent platforms.
Key Responsibilities
Design, build, and test modern, intuitive frontend applications (React preferred).
Develop and maintain robust backend systems in Python.
Implement secure authentication flows (e.g., WSO2).
Help shape and extend the design system using Tailwind or Bootstrap.
Optimize application performance and reduce system latency.
Manage cloud environments (AWS) in collaboration with DevOps.
Apply coding best practices and contribute to clean, scalable solutions.
Stay curious and explore GenAI and multi-agent technologies.
Requirements
✅ 5+ years of full-stack development experience
✅ Strong frontend skills (React preferred)
✅ Solid backend skills (Python ideal)
✅ Experience with UI kits and design systems (Tailwind, Bootstrap)
✅ Familiarity with vector databases & performance optimization
✅ Experience with authentication flows (WSO2 desirable)
✅ Cloud/DevOps knowledge (AWS preferred)
✅ Fluency in English & Dutch
Bonus points if you:
⭐ Quickly adapt to new technologies & frameworks
⭐ Communicate clearly with both tech and non-tech stakeholders
⭐ Thrive in a fast-paced, collaborative environment
What’s on Offer
💰 Competitive salary: €4,354 – €6,218 per month gross
🎁 13th-month bonus
🌴 37 vacation days annually
🏦 Premium pension plan (only 4% employee contribution)
💻 Choose your own laptop & phone OR receive €30/month net reimbursement
🚆 Commuting support: €0.23/km allowance or 100% NS Business Card coverage
🏡 Hybrid work setup with €2.40/day home working allowance
📚 €1,500 annual training budget for professional development
🩺 Collective health insurance discounts (up to 10%)
Culture & Environment
✨ Informal, collaborative atmosphere
🌍 Diverse and inclusive teams
⚖️ Strong work-life balance with hybrid working as the standard
🤝 Empowering environment with freedom for initiatives and self-management
Data Engineer – AI & Real Estate | Hybrid, Utrecht | €80K + 37 Vacation Days
Title: Data Engineer
Location: Utrecht, Netherlands (Hybrid – 3 days in office, 2 days remote)
Visa Support: Not available
Relocation Support: Not available
Compensation & Benefits
Annual Salary: €64,800 - €79,056 (€5,000 - €6,100 per month)
Bonuses: 13th-month bonus included
Vacation: 37 vacation days per year
Pension Plan: Premium pension scheme with only 1% employee contribution
Tech Essentials: Choose a laptop and mobile phone or receive a €30 monthly reimbursement
Commuting Support: €0.23 per km travel allowance or 100% reimbursed NS Business Card
Hybrid Work: €2.40 daily allowance for home working days
Professional Development: €1,500 annual training budget
Insurance: Discounts up to 10% on health insurance
Role Overview
As a Data Engineer, you will be responsible for designing, developing, and optimizing scalable data architectures to support AI applications. You will work closely with LLM engineers to build robust data pipelines, ensure secure data access, and bring innovative AI-driven solutions to life.
Key Responsibilities
Design and maintain scalable data architectures for AI applications
Build and manage data pipelines from diverse sources to a vector database in AWS
Implement role-based access control and data security measures
Monitor and optimize data processes using dashboards and logging tools
Present results to stakeholders and contribute to AI-driven innovations
Collaborate in Agile teams to deliver project milestones
Requirements
Strong expertise in SQL, Python, and cloud environments (preferably AWS)
Experience with structured and unstructured databases
Familiarity with vector databases, semantic search, and data orchestration tools
Understanding of Agile/Scrum methodologies
Fluent English communication skills
Experience in data architecture design, data governance, and integrating diverse data types
Nice-to-Have Skills
Familiarity with AWS services
Experience in the real estate sector
Dutch communication skills
Must be residing in the Netherlands at the time of application
Work Environment & Culture
Informal, family-like working atmosphere
Diverse teams with an inclusive culture
Hybrid working model (office & home balance)
Self-managing teams with freedom for innovation
Data Scientist (TS/SCI W/Poly) – Fort Meade, MD | $185K Salary
Job Title: Data Scientist, TS/SCI W/Poly – Fort Meade, MD - $185,000
Experience Level: Mid-senior
Experience Required: 3 Years
Education Level: Bachelor’s Degree
Job Function: Information Technology
Industry: Defense & Space
Compensation: Up to $185,000
Total Positions: 1
Relocation Assistance: Not available
Visa Sponsorship: Not available
Clearance Required: TS/SCI with Polygraph (Full Scope Poly preferred)
Position Overview
This role involves working in a dynamic environment, applying advanced data science techniques to address complex challenges. You will be part of a dedicated team providing data-driven solutions to support the Intelligence Community. This position emphasizes the development and integration of innovative analytical tools and techniques to meet evolving client needs.
If you are passionate about solving challenging problems, honing your technical expertise, and contributing to critical missions, this role offers excellent opportunities for professional growth.
Primary Responsibilities
Conduct advanced research and implement data science solutions to detect and classify objects using tools like Python, TensorFlow, and PyTorch.
Integrate diverse datasets into coherent databases and train foundation models to support mission objectives.
Fine-tune machine learning models to address specific intelligence questions.
Create clear documentation and present findings to key decision-makers.
Collaborate with stakeholders across government, industry, and academia to drive consensus and achieve shared goals.
Adapt to shifting priorities and assist with ad hoc tasks as needed.
Qualifications
Required:
Active TS/SCI clearance with Polygraph.
Bachelor’s degree in a technical field such as Computer Science, Mathematics, or Statistics.
A minimum of 3 years of experience in data science.
Proficiency in Python or R.
Experience with Machine Learning, Computer Vision, or Object Detection.
Preferred:
Experience with PyTorch, Keras, or analyzing overhead imagery.
Master’s degree in a technical field with at least 1 year of relevant experience.
Key Competencies
Strong analytical, problem-solving, and critical-thinking skills.
Excellent written, verbal, and graphical communication abilities.
Ability to work both independently and collaboratively in a fast-paced environment.
Proficiency with standard tools, including Microsoft Office and relevant network systems.
Note: This position requires U.S. Citizenship due to the nature of the work and the clearance requirements.
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Data Scientist - TS/SCI W/Poly - McLean, VA | Up to $185,000
Job Title: Data Scientist, TS/SCI W/Poly - McLean, VA - $185,000
Experience Level: Mid-senior
Experience Required: 3 Years
Education Level: Bachelor’s Degree
Job Function: Information Technology
Industry: Defense & Space
Compensation: Up to $185,000
Total Positions: 1
Relocation Assistance: Not available
Visa Sponsorship: Not available
Clearance Required: TS/SCI with Polygraph (Full Scope Poly preferred)
Position Overview
This role involves working in a dynamic environment, applying advanced data science techniques to address complex challenges. You will be part of a dedicated team providing data-driven solutions to support the Intelligence Community. This position emphasizes the development and integration of innovative analytical tools and techniques to meet evolving client needs.
If you are passionate about solving challenging problems, honing your technical expertise, and contributing to critical missions, this role offers excellent opportunities for professional growth.
Primary Responsibilities
Conduct advanced research and implement data science solutions to detect and classify objects using tools like Python, TensorFlow, and PyTorch.
Integrate diverse datasets into coherent databases and train foundation models to support mission objectives.
Fine-tune machine learning models to address specific intelligence questions.
Create clear documentation and present findings to key decision-makers.
Collaborate with stakeholders across government, industry, and academia to drive consensus and achieve shared goals.
Adapt to shifting priorities and assist with ad hoc tasks as needed.
Qualifications
Required:
Active TS/SCI clearance with Polygraph.
Bachelor’s degree in a technical field such as Computer Science, Mathematics, or Statistics.
A minimum of 3 years of experience in data science.
Proficiency in Python or R.
Experience with Machine Learning, Computer Vision, or Object Detection.
Preferred:
Experience with PyTorch, Keras, or analyzing overhead imagery.
Master’s degree in a technical field with at least 1 year of relevant experience.
Key Competencies
Strong analytical, problem-solving, and critical-thinking skills.
Excellent written, verbal, and graphical communication abilities.
Ability to work both independently and collaboratively in a fast-paced environment.
Proficiency with standard tools, including Microsoft Office and relevant network systems.
Note: This position requires U.S. Citizenship due to the nature of the work and the clearance requirements.
This description ensures compliance with your preferences for anonymity and rephrases content to maintain originality.