6 jobs found

Job Description Job Family: Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Active Secret What You Will Do: Focus on engineering, building, and maintaining shared platform capabilities, data pipelines, applications, workflows, automations, and governance tools within Palantir Foundry. This role will support multiple projects and applications by improving platform visibility, accelerating governance and product decisions, reducing duplication, and identifying opportunities for reuse and standardization. Create reusable platform capabilities that support multiple projects and application teams. Build governance, monitoring, logging, alerting, and portfolio-level views that improve visibility into platform activity, performance, risks, and dependencies. Develop automations that streamline governance reviews, approvals, product change requests, data quality checks, and other platform processes. Support automated detection and monitoring of sensitive data, including personally identifiable information. Coordinate across projects to identify conflicts, dependencies, duplicated capabilities, and opportunities for reuse. Review technical approaches and provide recommendations related to architecture, scalability, platform standards, and implementation risk. Partner with data governance, operations, product, and engineering teams to translate business and operational needs into practical platform solutions. Work with technical and non-technical stakeholders to gather requirements and recommend improvements. Identify data quality and platform issues and advise the client on options to resolve or mitigate them. Develop trusted client relationships and support business development efforts, including proposals, white papers, demonstrations, and capability briefings. What You Will Need: ACTIVE and MAINTAINED SECRET Federal or DoD security clearance. Bachelor's degree in a relevant technical field. THREE (3) years of hands-on experience developing data, application, workflow, automation, or platform solutions within Palantir Foundry. Hands-on experience using Foundry tools such as Code Repositories, Pipeline Builder, Workshop, Slate, Machinery, Ontology, Actions, and Functions. Strong engineering background with the ability to design, build, review, and improve data pipelines, user interfaces, workflows, automations, and reusable platform capabilities. Understanding of platform governance practices and observability. Experience supporting performance monitoring and operational tooling within Foundry. Experience supporting multiple projects or applications within a shared platform environment. Understanding of relational database concepts and structures. Ability to assess technical solutions and recommend improvements related to reuse, scalability, and platform standards. Strong programming experience using Python and SQL, with experience developing data pipelines, automations, or applications within Palantir Foundry. An acute attention to detail and ability to perform robust data quality checks. Ability to detect data issues affecting the performance of data pipelines and devise techniques for resolving or mitigating them. Ability to support remote, hybrid, and on-site projects in the DC metro area. What Would Be Nice To Have: SIX (6) years' experience in hands-on data engineering and/or database management. Strong scripting or programming experience (PySpark preferred). ACTIVE or ability to gain TOP SECRET Federal or DoD security clearance. Experience designing reusable enterprise platform capabilities. Experience building governance, portfolio management, compliance, or operational applications in Foundry. Experience developing platform monitoring, audit logging, automated data quality, or sensitive-data detection capabilities. Experience advising clients on Palantir architecture, platform governance, and implementation approaches. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets Design and deploy predictive and prescriptive models to enable data-driven decision-making Apply advanced analytics to Navy-specific domains such as logistics , maintenance, and operational readiness Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences Build and maintain reusable analytical frameworks, code libraries, and model pipelines Apply machine learning techniques to solve classification, regression, clustering, and optimization problems Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability Document methodologies, assumptions, and results to support transparency and reproducibility What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles Experience in Python, R, and SQL for data analysis, modeling, and data manipulation Experience applying machine learning techniques and statistical methods to real-world datasets Experience working with large, complex datasets across logistics , maintenance, supply chain, or readiness domains Experience developing data visualizations and dashboards using Qlik or similar tools Experience working within cloud or big data environments such as Databricks or similar platforms Experience working in Agile or iterative development environments Experience supporting government or defense clients (Navy experience preferred) Ability to work onsite in a client environment as required What Would Be Nice To Have: Familiarity with deploying models or integrating analytics into operational workflows Strong foundation in statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis) Statistical modeling and machine learning Ability to translate complex analytical outputs into actionable recommendations for stakeholders Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus Data analysis and interpretation Python, R, SQL programming Data visualization (Qlik, Tableau, Power BI, etc.) Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description Job Description About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the Role As an Operations Data Scientist, you will develop the predictive models, optimization algorithms, and analytical frameworks that drive operational decision-making across our global network. You will work at the intersection of data science, operations research, logistics, and business strategy to improve network performance, forecast demand, optimize resource allocation, and identify opportunities to scale efficiently. This role is ideal for someone who enjoys solving real-world operational problems with advanced analytics and building models that directly influence business outcomes. What You'll Do Develop forecasting models for operational demand, capacity, labor requirements, inventory, and network utilization. Build optimization models that improve resource allocation, staffing, maintenance planning, and operational efficiency. Design and analyze experiments to evaluate operational initiatives and process changes. Create predictive models that identify operational risks, bottlenecks, quality issues, and reliability trends. Develop simulation models to evaluate network expansion scenarios and operational strategies. Partner with Operations, Engineering, Product, Supply Chain, and Finance teams to guide strategic decisions. Build production-ready analytical tools and data products used by operational teams. Establish advanced operational metrics and measurement frameworks. Communicate complex analytical findings to technical and non-technical stakeholders. Support long-term planning through scenario analysis and decision modeling. Required Qualifications 3-7 years of experience in Data Science, Operations Research, Analytics, Applied Statistics, Industrial Engineering, or a related field. Strong proficiency in Python. Advanced SQL skills. Experience with machine learning, statistical modeling, forecasting, and experimentation. Experience with optimization techniques such as linear programming, mixed-integer optimization, simulation, or network modeling. Strong knowledge of statistical inference and experimental design. Experience building analytical solutions that influence operational decisions. Ability to explain complex technical concepts to business stakeholders. Preferred Qualifications Experience in logistics, transportation, aviation, robotics, autonomous systems, manufacturing, or supply chain operations. Experience deploying models into production environments. Experience with cloud data platforms and modern data stacks. Familiarity with geospatial analytics and network optimization. Master's or PhD in Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related disciplines. Example Problems You'll Solve How many technicians will be required at each site over the next 12 months? What maintenance strategy minimizes downtime while controlling cost? How should inventory be positioned across the network to maximize service levels? Which operational variables best predict delays, failures, or quality issues? Where should future sites be launched to maximize network efficiency? What is the optimal staffing model for a rapidly scaling operation? Success Metrics Forecast accuracy. Measurable operational cost savings. Capacity utilization improvements. Reduction in operational disruptions. Adoption of predictive and optimization tools by operational teams. Strategic decisions influenced by analytical recommendations. What Else You Need to Know The starting cash range for this role is $140,000-$210,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Job Description Job Description Dark Wolf Solutions is looking for a Defensive Cyber Operations Analyst who will perform continuous system monitoring to identify malicious cyber-attacks while supporting the containment and remediation of IT threats. This role will function as an operator responsible for hands-on incident response, correlation, and threat detection both on-premise using ELK and across AWS GovCloud environments using Splunk Enterprise. Additionally, this position will leverage Artificial Intelligence (AI) and Machine Learning capabilities to enhance threat detection, streamline incident analysis, and accelerate response actions across monitored networks and applications. This role will be fully on-site at Hill AFB in Ogden, Utah. Key Responsibilities: Active monitoring, detection, and analysis across on-prem (ELK) and cloud-hosted AWS GovCloud (Splunk Enterprise) environments. Utilize AI-assisted analysis, automation, and correlation of data from various log sources to triage security events, detect anomalies, and reduce response times for complex threats. Vulnerability Management actions to include providing recommendations and implement mitigations. Conduct intrusion analysis and correlation of unauthorized activities; provide and implement recommendations to improve detection and customer mitigation processes. Participate in the Root Cause Analysis process and documentation capturing efforts taken to mitigate unauthorized actions. Participate in the development of DCO tactics, techniques, and procedures (TTPs) and supporting documentation. Identify security discrepancies and report and respond to security incidents. Provide research and analysis in support of expanding programs and areas of responsibility. Draft documentation for briefings, reports, and informational analyses. Participate in customer exercises (after duty hours may be required). Adhere to defined policies, master plans and schedules. Complete all initial and annual training requirements and disclosures as outlined by BSTG. Perform all other duties as required, consistent with the goals, objectives, and responsibilities of the department. Required Qualifications: 4+ years of relevant cybersecurity experience, including direct SOC / vSOC / CSSP incident response experience. 2+ years of hands-on experience using Splunk Enterprise and ELK Stack (Elasticsearch, Logstash, Kibana) for event correlation and threat detection. Direct experience monitoring, ingesting, and analyzing security telemetry within AWS GovCloud environments (e.g., CloudTrail, VPC Flow Logs, AWS GuardDuty). Hands-on experience utilizing GitLab (e.g., source control, CI/CD pipelines, issue tracking, or DevSecOps workflows). 2+ years of experience with employment of DoD cybersecurity requirements, policies, and procedures to include assessment and authorization activities. Department of Defense Directive (DoDD) 8140 / 8570 IAT CSSP Certification must be obtained prior to hire (CEH, Security+, GCIH, CySA+ or Equivalent). Bachelor's degree in Computer Science, Information Technology, or a related field. US Citizenship and an active Top Secret/SCI security clearance required. Desired Qualifications: Experience with AI/ML security tools (e.g., generative AI for query generation, automated threat intelligence, or AI-driven behavioral analytics). AWS Certified Security - Specialty certification. Splunk Core Certified Power User / Admin or Elastic Certified Analyst certifications. Experience writing search queries using SPL (Splunk Processing Language) and KQL/Lucene (Kibana Query Language). Experience with SentinelOne (or similar EDR platforms) for endpoint detection, threat hunting, and automated remediation. Familiarity with Infrastructure-as-Code (IaC) tools such as Terraform or Ansible within a DevSecOps environment. Experience performing cybersecurity activities in support of software and system requirements, design, development, testing, and sustainment. Experience with HBSS, ACAS, SCAP Compliance Checker (SCC), DISA STIGs. Working knowledge of NIST 800-53 Security and Privacy Controls. Experience with various operation systems such as RHEL and Windows. Experience in performing post-incident computer forensics without destruction of critical data. Ability to provide guidance on DoD Cyber regulations and requirements to engineering and software development staff. The estimated salary range for this role is $90,000.00 - $145,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets Design and deploy predictive and prescriptive models to enable data-driven decision-making Apply advanced analytics to Navy-specific domains such as logistics , maintenance, and operational readiness Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences Build and maintain reusable analytical frameworks, code libraries, and model pipelines Apply machine learning techniques to solve classification, regression, clustering, and optimization problems Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability Document methodologies, assumptions, and results to support transparency and reproducibility What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles Experience in Python, R, and SQL for data analysis, modeling, and data manipulation Experience applying machine learning techniques and statistical methods to real-world datasets Experience working with large, complex datasets across logistics , maintenance, supply chain, or readiness domains Experience developing data visualizations and dashboards using Qlik or similar tools Experience working within cloud or big data environments such as Databricks or similar platforms Experience working in Agile or iterative development environments Experience supporting government or defense clients (Navy experience preferred) Ability to work onsite in a client environment as required What Would Be Nice To Have: Familiarity with deploying models or integrating analytics into operational workflows Strong foundation in statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis) Statistical modeling and machine learning Ability to translate complex analytical outputs into actionable recommendations for stakeholders Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus Data analysis and interpretation Python, R, SQL programming Data visualization (Qlik, Tableau, Power BI, etc.) Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.