intelligence engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you passionate about building business insights that drive decision-making at the highest levels? Do you want to be part of a fast-paced, ambiguous environment and contribute to Amazon's Brand Protection charter?<br>
<br>
As a Sr. Business Intelligence Engineer, from Day 1, you will be challenged with solving complex and ambiguous data problems - from designing scalable data models and metric frameworks, to building executive-ready dashboards, owning pipeline architecture and driving the technical strategy for the data team.<br>
<br>
What are we looking for?<br>
<ul><li>You have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.</li><li>You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.</li><li>You should be able to work on complex initiatives, deal with ambiguity, and work with senior leaders.</li><li>You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract, and transform data.</li><li>You have business communication skills to be able to work with product and program owners to understand key business questions, and are able to build solutions (analysis / reports / dashboards) that enable them to answer those questions quickly and accurately.</li><li>You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.</li></ul>
- You have experience mentoring engineers and raising the technical bar for a team - through code reviews, architectural guidance, and leading by example.<br>
<br>
Key job responsibilities<br>
<ul><li>Be highly data driven, resourceful, and team oriented.</li><li>Translate analytic insights into actionable recommendations for business and clearly communicate strategic findings by translating complex technical concepts into business terms and vice versa.</li><li>Develop dashboards that provide insights into the health of the business, create analytics solutions to drive deep dives and uncover hidden risks/trends and recommend optimizations for future state.</li><li>Interact with internal program, product, engineering, data and science owners to gather requirements, structure scalable and performant data solutions and gain a deep understanding of key datasets.</li><li>Own the design, creation, and management of extremely large datasets and tune query performance against large and complex data sets.</li><li>Design, implement, and drive adoption of new analytic technologies and solutions and promote industry standard best practices.</li></ul>
- Serve as the technical lead for the Brand Protection data team - owning architectural decisions, mentoring engineers and analysts on best practices, query optimization, and data modeling.<br>
<br>
About the team<br>
<br>
The Brand Protection team is part of Amazon's WW Customer &amp; Partner Trust organization. Our vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing a listing on Amazon that has invalid data (e.g., misuse of trademarks, copyright) associated with their Brand. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Knowledge of data warehousing and data modeling</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually</div><p></p>

Business Intelligence Engineer III, Intellectual Property Protection

Deloitte

Location
<br>Egypt Delivery Center
<br><br>
Deloitte Innovation Hub | Decision Intelligence Senior Engineer , Cairo, Egypt
<br><br>
Connect to your career at Deloitte.
<br><br>
Deloitte , established globally in 1845, is the world’s largest and leading professional services firm, providing audit and assurance, tax, consulting, financial advisory, and risk advisory services to public and private clients spanning multiple industries. We are present in more than 150 countries, and as the world's largest management consulting business, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
<br><br>
Deloitte innovation hub (DIH) is a strategic initiative/priority established by Deloitte North & South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients’ most complex business problems, across Portfolios that include ‘Strategy & Transactions’, ‘Customer’, ‘Engineering, AI & Data, ‘Enterprise, Technology & Performance’ and ‘Cyber’. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
<br><br>
We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
<br><br>
Connect to your opportunity.
<br>The past couple of years have proven that Supply Chains of today are subject to exponentially increasing volatility, uncertainty, complexity, and ambiguity (VUCA); resulting in a few major and many minor disruptions all around the globe. On the flip side, technological advancements in the area of big data, artificial intelligence (a.o. machine learning), cloud, etc. have shown to hold potential to significantly increase the capabilities of a company to weather these storms, amongst others in the space of supply chain & network operations.
<br><br>
Here at Deloitte, we bring these two exponential trends together within our Supply Chain Analytics & Intelligence Practice, to equip our clients with the right tools to obtain agile, effective & efficient supply chains. We design & implement Cognitive Command Centres, enabled by E2E visibility (through data integration, dashboarding and alerting) on the one hand, and decision intelligence (through Machine Learning and Process Automation) on the other. On our journey to the self-driving digital supply network, we are closely collaborating with Aera Technology, a leading innovator in the area of cognitive operating systems.
<br><br>
Within this context, we are looking for Solution Architects and Skill Builders who have profound experience in the field of Supply Chain Operations, while having a strong data & analytical mindset, keen on becoming an expert in the domain of Cognitive Command Centres enabled by Decision Intelligence
<br><br>
As a Skill Builder you …
<br><br>
Are triggered by the dream of a self-driving supply chain , where different types of day-to-day to strategic decisions are augmented and (partially) automated through various types of analytics & AI capabilities
<br>Are eager to build experience on the intersect between functional requirements & technical enablement with the objective of identifying, designing, implementing, and operating digital products in the form of decision intelligence use cases
<br>Commit to leveraging your technical (analytics & AI) knowledge to translate functional solution requirements into effective, sustainable, and scalable architectures that serve as the backbone of the solution
<br>Are determined to develop a deep understanding of Decision Intelligence solutions (e.g. Aera Technology), and you want to keep a focus on Decision Intelligence implementation projects to grow our practice
<br>Will collaborate on the development of Decision Intelligence Solutions, thereby performing hands-on implementation activities as part of a bigger implementation team
<br><br>
Typical activities include
<br><br>
Supporting Decision Intelligence Roadmaps , where you help envision & optimize the client’s journey from their burning platform today, to a state of E2E supply chain orchestration , agility and resilience enabled through decision intelligence
<br><br>
Supporting Solution Design of Decision Intelligence ‘skills’ through creative thinking and translating business needs into functional, UI/UX and technical detailed requirements, and onwards into a working solution
<br><br>
Collaborating on the Solution Implementation of Decision Intelligence ‘skills’ using a wide range of data, analytics & AI capabilities present in the selected Decision Intelligence platform(s)
<br><br>
Working in small teams (e.g. 3 – 5 people) of expert roles (e.g. Skill Builders, UI builders and Decision Intelligence Functional Experts) located in different geographies
<br><br>
Applying Data Analytics Best Practices across the different project phases and activities with a strong focus on simplicity, scalability, efficiency, and transparency
<br><br>
Connect to your skills and professional experience.
<br><br>
<b>You need:</b><br>
Preferably, a Master's degree with a specialization in Supply Chain Management, Operations Research, Computer Sciences, Optimization Techniques, Production Management, Logistics, or equivalent
<br><br>
You have 3 - 7 years of professional experience in a Supply Chain meets Data & Analytics context, and combine both functional and technical skills
<br><br>
Any prior exposure to Decision Intelligence is an asset, either as an end-user, an implementation consultant, or product specialist. If not, you have been exposed to solutions such as Aera Technology, Anaplan, c3.ai, Snowflake, Alteryx, …
<br><br>
<b>Preferred Skills:</b><br>
<b>Strong data management skills :</b> e.g. you are well-versed in the world of ETL and relational databases, you are proficient in using SQL & DBA, Java experience is a plus
<br><br>
<b>You have data visualization experience :</b> e.g. UX design, dashboard design, process modelling, business rule modelling
<br><br>
Theoretical or operational experience in Supply Chain, Control Towers & Decision Intelligence (incl. data science) is a key asset (commonly referred to as S&OE)
<br><br>
You are a team player , and you have an intellectual curiosity and drive to continuously learn. You have a proven track record of leading small teams of 3-5 people.
<br><br>
You have good communication skills , and you are fluent in English. Good knowledge of an additional language is an advantage
<br><br>
<b>Required Software Skills:</b><br>
MS Office (Excel, PowerPoint, Word, Visio, Outlook)
<br><br>
Relational Database Management - SQL
<br><br>
Python is a plus
<br><br>
Java is a plus
<br><br>
Connect to your service line – Technology & Transformation.
<br><br>
Distinctive thinking, deep expertise, and collaborative working. That’s what connects us. That’s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we’ll make an impact that matters.
<br><br>
Connect to your Industry.
<br><br>
“What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte’s clients include many of the world’s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.”
<br><br>
<ul>
<li>Dan, T&T</li>
</ul>
Our commitment to you
<br><br>
<b>Making an impact is more than just what we do:</b> it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
<br><br>
We want you. The true you. Your own strengths, perspective and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we’ll take your wellbeing seriously, too. Because it’s only when you’re comfortable and at your best that you can make the kind of impact you, and we, live for.
<br><br>
Your expertise is our capability, so we’ll make sure it never stops growing. Whether it’s from the complex work you do, or the people you collaborate with, you’ll learn every day. Through world-class development, you’ll gain invaluable technical and personal skills. Whatever your level, you’ll learn how to lead.
<br><br>
Connect to your next step
<br><br>
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see. You’ll be free to bring your true self to work every day. And you’ll never stop growing, whatever your level .
<br><br>
Discover more reasons to connect with us, our people and purpose-driven culture at Deloitte middle east careers.

Deloitte Innovation Hub | Decision Intelligence Senior Engineer, Cairo, Egypt

hatch IT

<div><p>hatch I.T. is partnering with Expression to find an<b> AI/ML Engineer</b>. See details below:</p>
<p><b>
About The Role:</b></p>
<p>
Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.</p>
<p>
The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.</p>
<p><b>
Security Clearance</b>: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)</p>
<p><b>
About the Company:</b></p>
<p>
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression&rsquo;s &ldquo;Perpetual Innovation&rdquo; culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><div>
<ul><li>Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.</li>
<li>Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.</li>
<li>Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.</li>
<li>Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.</li>
<li>Design AI orchestration workflows supporting distributed inference across multiple edge devices.</li>
<li>Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.</li>
<li>Implement model monitoring, observability, testing, and automated evaluation frameworks.</li>
<li>Collaborate with software engineers to integrate AI models into production software platforms.</li>
<li>Optimize models using quantization, pruning, distillation deployment technologies.</li>
<li>Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.</li>
<li>Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.</li>
<li>Document model development, evaluation results, and technical recommendations.</li>
<li>Support customer demonstrations and prototype evaluations.</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications:</b></h3><div>
<ul><li>Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.</li>
<li>5-8+ years of professional experience developing production AI or machine learning applications.</li>
<li>Strong Python programming experience.</li>
<li>Experience with PyTorch.</li>
<li>Experience deploying LLMs in production environments.</li>
<li>Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.</li>
<li>Experience implementing Retrieval-Augmented Generation (RAG).</li>
<li>Experience with vector databases and semantic search.</li>
<li>Experience deploying AI models on edge or resource-constrained devices.</li>
<li>Experience with model optimization techniques including quantization, model compression, or inference acceleration.</li>
<li>Experience designing evaluation frameworks for AI systems.</li>
<li>Experience with Docker and cloud-native AI deployment.</li>
<li>Excellent communication and collaboration skills.</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Qualifications:
</b></h3><div><ul><li>Experience applying AI to sensor analytics, time-series data, or signal processing.</li>
<li>Experience with software-defined radio data, RF analytics, or geospatial data analytics.</li>
<li>Experience developing multimodal AI applications.</li>
<li>Experience deploying AI across distributed edge computing environments..</li>
<li>Experience supporting DoD, Intelligence Community, or Federal customers.</li>
<li>Experience working in bandwidth-constrained or disconnected operational environments.</li>
<li>Experience supporting National Security or Federal Civilian customers.</li>
</ul>
</div><div><div><p><b>Benefits:</b></p>
<p>
Expression offers competitive salaries and benefits, such as:</p>
<ul>
<li>401k matching</li>
<li>PPO and HDHP medical/dental/vision insurance</li>
<li>Education reimbursement up to $10,000/yr</li>
<li>Complimentary life insurance</li>
<li>Generous PTO and 11 days of holiday leave</li>
<li>Onsite gym facility and trainer</li>
<li>Commuter Benefits Plan</li>
<li>In-office Cold Brew Coffee</li>
</ul>
</div></div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

AI/ML Engineer

FlairsTech

<div><div><div><div><div><p>Requirements and responsibilities</p><br>
<div><h2 class="jobSectionHeader"><b>About the Engagement</b></h2>
<p>FlareTech is building &quot;Context Intelligence,&quot; an AI platform centered on a proprietary &quot;process neural net&quot; architecture. Rather than relying on standard NLP or data warehouses, the platform builds model graphs that reverse-engineer data models directly from the business, enabling clients to inject knowledge management indexed to their own goals and strategy. FlareTech has secured a Proof of Concept with a major global enterprise client (hundreds of thousands of employees) and needs to accelerate delivery toward an October 1 POC milestone, with full production deployment targeted for November/December.</p>
<p>This role owns the &quot;Context&quot; domain specifically &mdash; context artifacts, ingestion workers, and fine-tuning &mdash; while the existing FlareTech team continues building out process automation and the rest of the platform in parallel.</p>
<h2 class="jobSectionHeader"><b>Main Responsibilities</b></h2>
<ul><li>Own the Context domain end-to-end: context artifacts, ingestion workers, and the fine-tuning pipeline within the Context Intelligence platform.</li>
<li>Design, implement, and operate production-grade fine-tuning workflows for localized (on-prem / self-hosted) LLMs.</li>
<li>Build and maintain ingestion workers that structure and feed data into the model graph architecture.</li>
<li>Support the reverse-engineering of client data models into model graphs, in line with FlareTech&rsquo;s process-neural-net approach.</li>
<li>Deploy and manage local LLM hosting to meet enterprise confidentiality requirements, as an alternative to cloud-hosted LLM APIs.</li>
<li>Engage directly with Darshan (VP of IT) to scope work, set priorities, and integrate deliverables into the critical path for the October 1 POC.</li>
<li>Coordinate with the existing platform team to ensure the Context domain integrates cleanly with process automation and other platform areas.</li>
<li>Prepare technical documentation on the process neural net / model graphing architecture to support client technical due diligence.</li>
<li>Help accelerate the POC timeline, then transition the Context domain into full production for the November/December deployment.</li>
</ul><h2 class="jobSectionHeader"><b>Required Skills &amp; Experience</b></h2>
<ul><li>Production experience fine-tuning LLMs &mdash; has shipped fine-tuned models into a live product, not only prompt engineering or inference-time RAG.</li>
<li>Hands-on experience deploying and operating localized / on-prem / self-hosted LLMs (e.g., via vLLM, TGI, Ollama, or comparable serving stacks).</li>
<li>Strong understanding of Retrieval-Augmented Generation (RAG) architectures, and how fine-tuning and RAG complement each other.</li>
<li>Experience building data ingestion pipelines &mdash; workers that clean, structure, and prepare data for model consumption.</li>
<li>Familiarity with graph-based or structured knowledge representations (model graphs, knowledge graphs), including reverse-engineering data models from unstructured or semi-structured sources.</li>
<li>Comfortable operating in a fast-moving, ambiguous R&amp;D environment against a hard external deadline (client POC).</li>
<li>Strong communication skills &mdash; will scope work directly with a client-side VP of IT with minimal intermediary process.</li>
<li>A security- and confidentiality-first mindset, understanding why enterprise clients require local LLM deployment over cloud APIs.</li>
</ul><h2 class="jobSectionHeader"><b>Nice to Have</b></h2>
<ul><li>Experience building no-code or low-code AI/workflow automation platforms.</li>
<li>Exposure to agentic frameworks or multi-agent systems (useful context, even though this platform favors fine-tuning over complex agent authoring).</li>
<li>Background in enterprise knowledge management or business process automation.</li>
<li>Experience with platform/marketplace business models involving third-party extensibility.</li></ul></div></div></div></div></div></div><div></div>

AI Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description: Analytics &amp; Transformation Engineer</b></h1><p><b>
Job Title:</b> Analytics &amp; Transformation Engineer<br>
<b>Experience:</b> 3&ndash;11 Years<br>
<b>Location:</b> <b>Riyadh - Onsite</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are seeking an experienced <b>Analytics &amp; Transformation Engineer</b> with <b>3&ndash;11 years of experience</b> to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Business Intelligence &amp; Visualization</b></h3><ul><li>
Hands-on experience with <b>Power BI or Tableau or Looker</b> for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader"><b>
Data Modeling &amp; Analytics Engineering</b></h3><ul><li>
Strong experience with <b>SQL and dbt</b> for data transformation and analytics workflows.</li><li>
Experience designing and maintaining <b>semantic models</b> and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader"><b>
Product &amp; Behavioral Analytics</b></h3><ul><li>
Experience with <b>Mixpanel or Amplitude or Google Analytics or Hotjar</b> for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader"><b>
Experimentation &amp; Measurement</b></h3><ul><li>
Experience designing and analyzing <b>A/B testing</b> initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader"><b>
Reporting &amp; Productivity Tools</b></h3><ul><li>
Advanced proficiency in <b>Microsoft Excel</b> for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Business Intelligence:</b> <b>Power BI or Tableau or Looker</b></li><li><b>
Analytics Engineering:</b> <b>dbt and SQL</b></li><li><b>
Data Modeling:</b> Semantic Models <b>and</b> Metrics Frameworks</li><li><b>
Behavioral Analytics:</b> <b>Mixpanel or Amplitude or Google Analytics or Hotjar</b></li><li><b>
Product Analytics:</b> Behavioral Analytics <b>and</b> Event Taxonomy Planning <b>and</b> A/B Testing</li><li><b>
Reporting &amp; Analysis:</b> Excel <b>and</b> Dashboard Creation</li><li><b>
Analytics Operations:</b> Tracking Implementation QA <b>and</b> Post-Launch Transaction Analysis Readiness</li><li><b>
Comparable Tools &amp; Methods:</b> Similar analytics, BI, and transformation platforms as required by business needs</li></ul><p>
</p><p>YIaTsfUsPM</p></div>

Analytics & Transformation Engineer

LTC Solutions, LLC

<div><p>LTC Solutions, LLC is a small business with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients&rsquo; needs, we would like to meet you!</p>
<p>
LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).</p>
<p>
POSITION DESCRIPTION: AI Engineering Support</p><br>
<p><b>
Location:</b> Pentagon, Arlington, VA (Hybrid)</p>
<p><b>
Status:</b> Contingent Hire &ndash; Full-Time &ndash; Hybrid</p>
<p><b>
Clearance:</b> Active Top Secret/SCI Clearance Required</p>
<p><b>
MUST HAVE:</b> Demonstrated experience <b>supporting Department of Defense data engineering</b>, business intelligence, data governance, automated data pipelines, and enterprise analytics supporting operational decision-making.</p>
<p>
Position Summary</p>
<p>
The AI Engineer / Research Analyst provides mid-level data engineering, business intelligence, and applied analytics support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&amp;L), and the Global Positioning Network (GPN) Program. Working in a hybrid capacity supporting the Pentagon, the position develops and maintains data extraction, transformation, validation, and integration processes that convert raw operational data into secure, authoritative datasets supporting advanced analytics and executive decision-making.</p>
<p>
The AI Engineer supports enterprise data engineering activities by developing automated queries, reusable data pipelines, data quality processes, and business intelligence solutions while ensuring compliance with Department of War (DoW), U.S. Marine Corps (USMC), and Department of Defense cybersecurity, records management, and data governance requirements. Working under the direction of senior analytics leadership, the position supports the development of scalable data architectures that enable predictive analytics, dashboard development, artificial intelligence, and operational reporting.</p>
<p>
The position collaborates with Headquarters Marine Corps organizations, Government data owners, system administrators, and analytics personnel to improve data accessibility, quality, security, and enterprise reporting capabilities.</p>
<p>
Required Qualifications</p>
<ul>
<li>U.S. Citizen with an <b>Active Secret security clearance</b> and ability to obtain a CAC card.</li>
<li>Bachelor's degree in <b>Computer Science, Data Science, Information Systems, Software Engineering, Data Engineering, Business Analytics, Mathematics</b>, or a related discipline.</li>
<li><b>Four (4) to seven (7) years</b> of experience supporting Department of Defense data engineering, business intelligence, database development, analytics, or enterprise information management.</li>
<li>Experience designing and developing automated data extraction, transformation, and loading (ETL/ELT) processes.</li>
<li>Experience writing complex SQL queries and developing reusable database scripts.</li>
<li>Experience using <b>Python</b>, SQL, and data transformation libraries for automation and data preparation.</li>
<li>Experience developing secure data pipelines and preparing authoritative datasets for reporting and analytics.</li>
<li>Experience supporting enterprise data governance, metadata management, and data quality initiatives.</li>
<li>Working knowledge of Department of Defense cybersecurity requirements, secure data handling procedures, and records management practices.</li>
<li>Experience supporting business intelligence environments using Power BI, Tableau, Microsoft Fabric, or similar reporting platforms.</li>
<li>Strong analytical, technical writing, communication, and organizational skills.</li>
</ul>
<p>Preferred Qualifications</p>
<ul>
<li>Master's degree in <b>Data Science, Information Systems, Computer Science, Software Engineering, Business Analytics</b>, or a related discipline.</li>
<li>Experience supporting Headquarters Marine Corps, Department of the Navy, Joint Staff, or other Department of Defense headquarters organizations.</li>
<li>Experience designing enterprise data warehouses, reporting architectures, or business intelligence platforms.</li>
<li>Experience with Azure Data Factory, Microsoft Fabric, Databricks, Snowflake, or equivalent enterprise data engineering platforms.</li>
<li>Experience supporting DevSecOps, CI/CD pipelines, Git, or Azure DevOps.</li>
<li>Familiarity with artificial intelligence and machine learning data preparation techniques.</li>
<li>Experience implementing enterprise data governance frameworks and data catalog solutions.</li>
<li>Knowledge of DoD Zero Trust Architecture, RMF, and cybersecurity compliance requirements.</li>
</ul>
<p>Primary Duties</p>
<ul>
<li>Develop and maintain automated data extraction, transformation, validation, and loading (ETL/ELT) processes supporting GPN analytics and enterprise reporting.</li>
<li>Create and optimize complex SQL queries, stored procedures, and reusable scripts that automate recurring data collection and reporting activities.</li>
<li>Develop secure, reusable data pipelines that prepare authoritative datasets for analytics, artificial intelligence, business intelligence, and executive reporting.</li>
<li>Validate, cleanse, normalize, and integrate structured and unstructured data from multiple Government information systems.</li>
<li>Implement enterprise data quality controls, validation routines, reconciliation processes, and metadata documentation to improve data integrity.</li>
<li>Support development and maintenance of enterprise business intelligence architectures, reporting databases, and visualization back-end environments.</li>
<li>Prepare datasets supporting predictive analytics, machine learning models, simulation activities, and operational research efforts performed by senior AI engineers and data scientists.</li>
<li>Collaborate with Government stakeholders to define data standards, business rules, data dictionaries, and governance policies.</li>
<li>Ensure compliance with Department of War (DoW), U.S. Marine Corps (USMC), Department of Defense cybersecurity policies, records management requirements, and enterprise data governance standards.</li>
<li>Document database structures, transformation logic, automated workflows, technical procedures, and data lineage supporting long-term sustainment.</li>
<li>Assist with troubleshooting data quality issues, system integration challenges, and reporting inconsistencies.</li>
<li>Support implementation of secure data architectures that improve availability, reliability, scalability, and performance of analytical systems.</li>
<li>Coordinate with AI Engineers, Data Analysts, Business Intelligence developers, Government personnel, and system administrators to support enterprise analytics initiatives.</li>
<li>Participate in configuration management, version control, testing, deployment, and continuous improvement of enterprise data engineering solutions.</li>
<li>Perform additional data engineering, business intelligence, analytics, automation, and governance duties necessary to accomplish contract requirements.</li>
</ul>
<p>Preferred Technical Skills</p>
<ul>
<li>Python</li>
<li>SQL</li>
<li>Power BI</li>
<li>Tableau</li>
<li>Microsoft Fabric</li>
<li>Azure Data Factory</li>
<li>Azure Synapse Analytics</li>
<li>Databricks</li>
<li>Snowflake</li>
<li>PostgreSQL</li>
<li>Microsoft SQL Server</li>
<li>Git</li>
<li>Azure DevOps</li>
<li>ETL/ELT Development</li>
<li>Data Warehousing</li>
<li>REST APIs</li>
<li>JSON/XML</li>
<li>Data Governance</li>
<li>Metadata Management</li>
<li>Data Lineage</li>
<li>RMF</li>
<li>Zero Trust Architecture</li>
</ul>
<p><b>LTC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.</b></p></div>

AI Engineering Support US Citizens only, active TS/SCI clearance required

<div><h1 class="jobSectionHeader"><b>Job Description: Data Science &amp; Analytics Engineer</b></h1><p><b>
Job Title:</b> Data Science &amp; Analytics Engineer<br>
<b>Experience:</b> 3&ndash;11 Years<br>
<b>Location:</b><b>Riyadh - Onsite</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are looking for a talented <b>Data Science &amp; Analytics Engineer</b> with <b>3&ndash;11 years of experience</b> to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, develop, and deploy predictive and analytical models to solve business problems.</li><li>
Perform data exploration, statistical analysis, feature engineering, and model evaluation.</li><li>
Build interactive dashboards, reports, and visualizations for business stakeholders.</li><li>
Develop scalable data analytics solutions using modern cloud and big data platforms.</li><li>
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.</li><li>
Analyze structured and unstructured datasets to identify trends, patterns, and opportunities.</li><li>
Ensure data quality, governance, and best practices across analytics initiatives.</li><li>
Present analytical findings and recommendations to technical and non-technical audiences.</li><li>
Continuously improve analytics processes, reporting capabilities, and model performance.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Programming &amp; Data Science</b></h3><ul><li>
Strong proficiency in <b>Python or R</b> for data analysis, statistical modeling, and machine learning.</li><li>
Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics.</li></ul><h3 class="jobSectionHeader"><b>
Data Science Platforms</b></h3><ul><li>
Hands-on experience with <b>Databricks or Dataiku</b> for data science, machine learning, and collaborative analytics.</li><li>
Experience developing end-to-end analytical workflows and model deployment.</li></ul><h3 class="jobSectionHeader"><b>
Business Intelligence &amp; Visualization</b></h3><ul><li>
Strong experience with <b>Power BI or Tableau or Looker</b> for dashboard development and data visualization.</li><li>
Ability to create interactive reports and executive-level dashboards.</li></ul><h3 class="jobSectionHeader"><b>
Data Warehousing &amp; Analytics</b></h3><ul><li>
Experience with <b>BigQuery or Snowflake</b> for large-scale analytics and data warehousing.</li><li>
Strong understanding of SQL, data modeling, and analytical query optimization.</li></ul><h3 class="jobSectionHeader"><b>
Analytics &amp; Machine Learning</b></h3><ul><li>
Experience with statistical analysis, forecasting, classification, clustering, and regression models.</li><li>
Familiarity with machine learning libraries and model evaluation techniques.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in Data Science, Business Analytics, or Advanced Analytics.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Excellent communication and presentation skills.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Knowledge of MLOps, model deployment, and AI-driven analytics.</li><li>
Experience with ETL/ELT processes and data engineering concepts.</li><li>
Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage.</li><li>
Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Programming Languages:</b> <b>Python or R</b></li><li><b>
Data Science Platforms:</b> <b>Databricks or Dataiku</b></li><li><b>
Business Intelligence:</b> <b>Power BI or Tableau or Looker</b></li><li><b>
Data Warehouse:</b> <b>BigQuery or Snowflake</b></li><li><b>
Analytics:</b> Statistical Analysis <b>and</b> Predictive Modeling <b>and</b> Machine Learning <b>and</b> Data Visualization</li><li><b>
Cloud Platforms:</b> <b>AWS or Microsoft Azure or Google Cloud Platform</b> (Preferred)</li></ul><p>
</p><p>mLBuPrYFSv</p></div>

Data Science & Analytics Engineer

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