Forward Deployed Engineering Lead – Data Science, Integration
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Forward Deployed Engineering Lead managing Data Science & Integration for public sector missions. Delivering innovative solutions at customer sites for defense and intelligence agencies.
Responsibilities:
- Deploy Cutting-Edge Data Science & Integration Innovation from API-led integration ecosystems to orchestrated operational workflows to advanced ML pipelines directly at customer sites in defense, intelligence, and aerospace environments.
- Become a Trusted Partner Embedded with Mission Owners, working in classified and unclassified environments to deeply understand operational challenges and translate them into end-to-end data science and integration solutions using best-fit tooling.
- Drive Innovation at the Front Lines by serving as the connective bridge between customer missions and internal engineering teams, gathering frontline feedback to help co-design integration patterns, workflow templates, and data science capabilities that strengthen national security outcomes.
- Improve Efficiency, Mission-Readiness, and Trust by helping the U.S. and allied governments deploy integrated data technology stacks that deliver faster response times, better personnel utilization, and more effective logistics and asset management.
- Drive Tangible Outcomes through Hands-On Implementation, taking responsibility for end-to-end technical delivery of complex data pipelines, integration flows, and predictive models—personally writing critical code, configuring systems, and troubleshooting issues in the field while guiding junior team members.
- Build Transformative Data Science Solutions by taking primary ownership of designing, developing, and implementing high-quality, scalable production ML and analytics systems, including predictive models, intelligent automation pipelines, and LLM-augmented workflows.
- Engineer Bespoke Integration Architectures, designing and building custom API-led integrations using enterprise integration platforms to ensure seamless connectivity across enterprise data sources, operational systems, and cloud environments in highly regulated settings.
- Orchestrate Complex Workflows, leveraging modern workflow automation and process orchestration platforms to model, automate, and optimize multi-stakeholder operational processes in manufacturing, logistics, supply chain, and mission operations contexts.
- Own the Entire Data Lifecycle on-site with customers—from strategic data modeling to hands-on ETL/ELT pipeline construction, feature engineering, and integration strategy—ensuring data is always ready, optimized, and secure for advanced analytics and AI applications.
- Lead Rapid Prototyping and Iteration, developing proofs-of-concept and MVPs side-by-side with customer teams to demonstrate data science and integration capabilities and set the pace for rapid, mission-aligned delivery.
Requirements:
- 8+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions, ideally in customer-facing or field-deployed settings.
- Strong background in Computer Science, Data Science, or a related engineering discipline.
- Expert-level proficiency in one or more programming languages (e.g., Python, Java, SQL).
- Extensive hands-on experience building and deploying AI/ML solutions, including model development, MLOps pipelines, LLM integration, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex).
- Demonstrated expertise in enterprise integration platforms and API-led connectivity design, with experience in tools such as MuleSoft Anypoint Platform , Dell Boomi, Apigee, Azure API Management, or equivalent; direct MuleSoft experience is a plus.
- Demonstrated expertise in workflow orchestration and process automation platforms, with experience in tools such as Regrello , Temporal, Prefect, Apache Airflow, or equivalent; direct Regrello experience is a plus.
- Deep expertise in data modeling, processing, and analytics with demonstrable proficiency in enterprise data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
- Ability to travel 50-75% of the time to customer sites, including classified facilities.
- Must be a U.S. citizen (U.S. born or naturalized) living on U.S. soil who does not hold dual citizenship.
- Eligible for and willing to obtain a U.S. Security Clearance.
Benefits:
- time off programs
- medical, dental, vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Similar Jobs
Staff Data Scientist
Data Scientist developing machine learning solutions for Volkswagen Financial Services. Collaborating with teams to analyze data and influence business decisions.
Principal, Analytics and Data Science – Pricing Forecasting
Principal position leading data science and analytics within CVS Health's underwriting transformation program for pricing forecasting and financial decision-making. Collaborating across teams to drive actionable insights based on advanced analytics.
Senior Data Scientist
Senior Data Scientist at Montreal improving AI in education. Focused on reducing student dropout and preventing financial fraud.
Senior Data Scientist
Senior Data Scientist at Switchfly responsible for innovative data science and ML applications. Driving business results through analytic innovation and supporting large-scale adoption of data science.
Senior Data Scientist
Data Scientist responsible for creating a Medical Decision-Support Engine using AI and medical data. Leveraging LLMs and Knowledge Graphs to enhance mental health diagnostics.
Senior Data Scientist
Data Scientist developing insights and models for a fast-growing healthcare marketplace. Collaborating with teams to improve data-driven decision-making and marketplace efficiency.
Data Lead
Data lead responsible for structuring and scaling engineering teams in Cappta, a Brazilian fintech specialized in payment solutions. Focus on decision-making architecture and team development.
Senior AI Data Scientist
Senior Data Scientist leading AI projects to optimize patient care and operational efficiency in a healthcare organization. Also mentors junior data scientists for a data-driven culture.
Tech Lead Data Scientist, AI Evaluation – Monitoring
Tech Lead Data Scientist guiding AI evaluation and monitoring at Geisinger. Leading technical teams and shaping methodologies for AI systems in healthcare.
Data Scientist – Innovation
Data Scientist developing scalable procedures for data extraction and analysis. Enhancing Comscore products with insights from diverse data sources and collaborating with teams.
Senior Data Scientist
Senior Data Scientist working with a skilled data science team at Cotiviti. Analyzing healthcare data and delivering value through advanced data science models and collaboration.
Data Scientist
Data Scientist developing machine learning solutions for fraud prevention and AML compliance. Collaborating with clients to address evolving fraud challenges in a remote-first organization.
Data Scientist, Finance
Data Scientist enhancing Finance through data analytics for Whatnot's fast-growing marketplace. Building dashboards and actionable KPIs while collaborating on data engineering.
Senior Data Scientist – Fraud Data Infrastructure, Automation
Senior Data Scientist at Socure transforming raw datasets into actionable insights to prevent fraud. Leading innovative approaches such as agentic AI and data automation for improved decision systems.
Data Scientist / ML Engineer
Data Scientist / ML Engineer developing scalable machine learning systems for Antarctica Capital. Collaborating with teams to optimize models and infrastructure in a remote setting.
Data Scientist
Data Scientist at WMT Digital solving dynamic pricing problems using advanced mathematics and Python. Focused on pipeline development, data analysis, and collaboration with stakeholders.
Senior Data Scientist
Senior Data Scientist collaborating with AI Technical Product Manager and ML Engineers at Blanc Labs. Analyzing data to drive actionable insights and measurable business value.
Senior Data Scientist
Senior Data Scientist at Blanc Labs shaping AI-driven product decisions through data analysis. Collaborating with cross-functional teams to drive measurable business value from AI initiatives.
Senior Data Scientist – Flex
Leading development of data science aspects for Akamai's web security products in a multidisciplinary research team. Responsible for innovation, model development, and insights on web security attacks.
Manager, Data Science
Manager, Data Science role at Whatnot leading team to drive analytical strategy and solve marketplace challenges. Focus on growth, ecosystem health, and developing data-driven solutions.