data science engineer

Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Data Scientist / Senior Machine Learning Engineer
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 <strong>
  Job Description
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  <br/>
 </strong>
 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
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 <strong>
  Key Responsibilities
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 </strong>
 <ul>
  <li>
   Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
  </li>
  <li>
   Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
  </li>
  <li>
   Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
  </li>
  <li>
   Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
  </li>
  <li>
   Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
  </li>
  <li>
   Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
  </li>
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   Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
  </li>
  <li>
   Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
  </li>
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   Strong knowledge of machine learning frameworks and libraries.
  </li>
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   Expertise in data preprocessing, feature engineering, and model selection.
  </li>
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   Familiarity with large language models and AI agent design.
  </li>
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   Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
  </li>
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   Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
  </li>
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   Experience with vectorized databases and unstructured search engines is a plus.
  </li>
  <li>
   A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
  </li>
  <li>
   Publications or contributions to open-source projects are a plus.
   <br/>
   <br/>
  </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
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 <strong>
  Location:
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 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
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 <strong>
  Time Type
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 </strong>
 Full time
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  Job Category
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 </strong>
 Information Technology
</div>


Data Scientist / Senior Machine Learning Engineer

Trideum Corporation

<div><p><b>Senior Data Scientist/Data Engineer</b><br>
Full-time<br>
<b>Huntsville, AL</b></p>
<p><b>About Us</b></p>
<p>Trideum Corporation is a 100% employee-owned company, committed to embracing the world&rsquo;s toughest challenges with a servant&rsquo;s heart. Through dedicated hard work and commitment, we provide distinctive quality and unparalleled customer service in all aspects of our business. We also know that our employees are the key to our success, and it is our mission to take care of them so they can take care of our customers and communities where we live, work, and play.</p>
<p><b>Position Summary</b></p>
<p>The Senior Data Scientist/Data Engineer will play a pivotal role in establishing the foundation for data-driven decision-making and enterprise-wide data operationalization in support of the United States Army Space and Missile Defense Command (USASMDC). This position focuses on translating complex data into actionable insights that enable senior leadership to make well-grounded decisions regarding technology investments, pilot programs, and portfolio rationalization. The Data Engineer will design, build, and maintain the data ontology tools, dashboards, and data pipelines necessary to measure technical maturity, operational efficiency, and mission alignment across the organization.</p>
<p>As a core contributor to the enterprise operational data and analytics team, you will be responsible for creating real-time decision support system data ontology mapping and interfaces that provide granular visibility into performance, technology, and operational readiness. You will work closely with data scientists, software developers, systems evaluation engineers, mission personnel, and enterprise architects to ensure that all data is traceable from source to recommendation. This role is essential for equipping leadership with the objective scoring criteria, evaluation metrics, and comprehensive reports needed to continuously improve the technology landscape.</p>
<p><b>What You&rsquo;ll Do</b></p>
<p>Responsibilities include, but are not limited to:</p>
<ul><li>Develop and maintain executive decision support products, including operational dashboards and artificial intelligence (AI) pipelines.</li>
<li>Build data pipelines and visualizations within enterprise platforms (such as Army Vantage) to provide real-time oversight of key metrics, including application usage, subscription consumption, and application programming interface (API) burn rates.</li>
<li>Design and implement comprehensive command-wide ontology and data dictionary for utilization across applications and analytic frameworks</li>
<li>Ensure strict data traceability from source data and assumptions through analyses to final recommendations.</li>
<li>Support the creation of a robust API flexible structure to integrate data flows and data sets from Programs of Record, Cloud-based Analytic Platforms, and Mission Systems.</li>
<li>Produce recurring monthly portfolio dashboards and comprehensive quarterly or annual reports.</li>
<li>Less than 25% travel may be required.</li>
</ul>
<p><b>Requirements and Qualifications</b></p>
<ul><li>Bachelor&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Proven experience building operational dashboards and data visualizations that provide real-time decision support to senior leadership.</li>
<li>Strong expertise in developing data pipelines, including experience integrating data from various sources to track utilization, consumption, and financial metrics.</li>
<li>5+ years of relevant professional experience.</li>
<li>Expertise in languages like Python, R, and SQL; data visualization software like Tableau, Power BI, or Qlik; and data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure Synapse Analytics.</li>
<li>Experience establishing data traceability methodologies to ensure a clear linkage between raw data, analyses, and final recommendations.</li>
<li>Ability to define objective scoring criteria, evaluation metrics, and key performance indicators (KPIs) for technology assessments.</li>
<li>Excellent written and verbal communication skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.</li>
<li>U.S. citizenship and an active Secret security clearance with the ability to obtain/maintain a Top Secret/Sensitive Compartmented Information (TS/SCI) clearance.</li>
</ul>
<p><b>Desired Qualifications</b></p>
<ul><li>Master&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Experience working with Army Vantage or similar enterprise, cloud-based data platforms.</li>
<li>Familiarity with building artificial intelligence (AI) or machine learning pipelines for advanced analytics.</li>
<li>Previous experience supporting a Chief Technology Officer (CTO), Chief Data and AI Officer (CDAO), or similar executive-level function with enterprise-wide technology assessments.</li>
<li>Understanding of software lifecycle management, cloud computing integration, and modern development practices (e.g., DevSecOps).</li>
<li>Experience developing and maintaining infrastructure for data storage, data extraction, monitoring, and observability</li>
</ul>
<p><b>We Take Care of Our People</b></p>
<p>Whether you&rsquo;re looking to launch a new career or grow an existing one, Trideum is the type of company where you can balance great work with great life because we believe that taking care of our people is the right thing to do. Trideum offers:</p>
<ul><li>Competitive pay based on the work you do here and not your previous salary.</li>
<li>Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.</li>
<li>Employee Stock Ownership Plan (ESOP).</li>
<li>Paid leave and the ability to cash out leave.</li>
<li>Free access to certified financial planners, wellness and support services, and discount programs.</li>
<li>Education assistance and professional development opportunities.</li>
<li>And much more.</li>
</ul>
<p><b>Ready to Apply?</b></p>
<p>Start Your Application now!</p>
<p><b>Equal Opportunity Employer</b></p>
<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. People with disabilities who need a reasonable accommodation to apply or compete for employment with Trideum may request such accommodation(s) by contacting Human Resources at 256.704.6123 or HR@trideum.com.</p></div>

Senior Data Scientist

Google

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 <br/>
 <br/>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 <strong>
  New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA
 </strong>
 .
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  </li>
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   1 year of experience designing data pipelines (ETL) and model data.
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   Experience analyzing data and creating reports, and with database query (e.g., SQL) and visualization tools (e.g., Tableau, dashboards).
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   Experience with one or more general purpose programming languages (e.g., Python, C/C++, Java).
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  </li>
 </ul>
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  Preferred qualifications:
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 <ul>
  <li>
   Experience working in a data science environment, supporting feature engineering and model automation needs.
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   Experience working with big data tools, distributed computing and non-relational databases.
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   Structured thinking with ability to easily break down ambiguous problems and propose impactful data modeling designs.
  </li>
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   Passion for analyzing large and complex data sets and converting them into the information which drive business decisions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Job
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  <br/>
 </strong>
 The GCS Data Science team is working on challenging yet interesting problems for the GCS (Google Customer Solutions) division of Global Business Organization (GBO). Our goal is to build efficient and scalable ML models that help small and midsize businesses around the world to grow their business leveraging the power of Google solutions.
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 <br/>
 The Data Science Engineering (DSet) subteam is responsible for supporting data engineering needs for the GCS Data Science teams including building new data pipelines, automation, observability and reporting tools.
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 <br/>
 As a Data Engineer, you will take on big data challenges in an agile way. In this role, you will use an analytical, data-driven approach to drive a deep understanding of our fast changing business. You will build data pipelines and reporting tools that enable our data scientists, through feature engineering, automated data extracts and wrangling needs, and scaled insights for both the data science team and our users.
 <br/>
 <br/>
 Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you&rsquo;ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
 <br/>
 <br/>
 Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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 <br/>
 US: $106000 - $151000 (USD) + 15% bonus target + equity + benefits
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 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Learn more about benefits at Google .
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 <ul>
  <li>
   Build data pipelines, reports, best practices and frameworks that enable analysts and other stakeholders across the organization.
  </li>
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   Use feature engineering to support data needs for ML/AI model development and subsequent scaling through ETL pipeline development.
  </li>
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   Recognize and adopt best practices in developing pipelines, analytical insights including data integrity, test design, analysis, validation and documentation.
  </li>
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   Design and develop scalable and actionable solutions (dashboards, automated collateral, web applications) that tell a story and provide insights to help our advertisers grow.
  </li>
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   Work closely with various stakeholders to understand feature/tooling gaps and innovate on behalf of our customers.
   <br/>
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   <br/>
  </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>


Data Engineer, GCS Data Science

Agile Defense

<div><div><b>About Agile Defense</b></div>
<div></div>
<div>At Agile Defense we know that action defines the outcome and new challenges require new solutions. That&rsquo;s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.</div>
<div></div>
<div>Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility&mdash;leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation&rsquo;s vital interests.</div><div></div><div><br>
<div>
<div><b>Requisition #: </b>1758</div>
</div><div><b>Job Title:</b> Data Engineer - SPACECOM</div>
<div><b>Location:</b> On-Site, Colorado Springs, CO</div>
<div><b>Clearance Level: </b>Top Secret, Must Have Clearance to Start</div>
</div><h3 class="jobSectionHeader"><b>Job Description</b></h3><div>
Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense&rsquo;s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.</div>
<div></div>
<div>You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.</div>
<div></div>
<div>This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.</div><h3 class="jobSectionHeader"><b>
Education and Background</b></h3><div>
Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 3+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.</div><h3 class="jobSectionHeader"><b>
Years of Experience</b></h3><div>
<div><div><div><div><div>3+ years</div>
</div>
</div></div></div></div><div></div><h3 class="jobSectionHeader"><b>Required Skills</b></h3><ul>
<li>Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3><ul>
<li>4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.</li>
<li>Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).</li>
<li>Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost).</li>
<li>Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).</li>
<li>Strong understanding of data validation, model testing, and performance evaluation techniques.</li>
<li>Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.</li>
</ul><h3 class="jobSectionHeader"><b>Working Conditions</b></h3><div>
Must be able to work onsite at a SCIF</div><div><b>
Our Core Values</b></div>
<div></div>
<div>Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.</div>
<div></div>
<div>What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.</div>
<div></div>
<ul><li><b>Happy </b>- Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.</li>
<li><b>Helpful</b> - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.</li>
<li><b>Honest</b> - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.</li>
<li><b>Humble</b> - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.</li>
<li><b>Hungry </b>- Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.</li>
<li><b>Hustle</b> - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.</li>
</ul>
<div></div><div><b>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></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>

Data Engineer - SPACECOM

Thermo Fisher Scientific

<div><p><b>Work Schedule</b></p>
Standard (Mon-Fri)<p></p><p><b>
Environmental Conditions</b></p>
Office<p></p><p><b>
Job Description</b></p><p></p><p>
At Thermo Fisher&rsquo;s PPD clinical research business, we&rsquo;re using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected.</p><p></p><p>
We know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively.</p><p><b><br>
Position Summary:</b></p><p></p><p>
We are seeking a highly motivated <b>AI Engineer</b> (known internally as a Scientist II, Data Sciences, band 5) to help design, build, deploy, and optimize AI solutions that advance CRG's digital strategy. In this role, you will design, implement, and optimize AI models that support data analysis, automation, and innovation. You'll collaborate with data scientists, software engineers, and domain experts to translate business needs into scalable, intelligent solutions.</p><p></p><p>
The ideal candidate will be proficient in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI. Proven experience needed with exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques.</p><p></p><p>
Strong knowledge in technical areas such as SQL, Python, Spark, Jupyter, and associated packages and libraries, specifically tailored to Generative AI.</p><p></p><p><b>
AI and Machine Learning Development</b></p><ul><li>
Design, develop, and deploy machine learning and generative AI models to support CRG Digital priorities including predictive analytics, text/NLP solutions, automation, and intelligent decision support.</li><li>
Apply statistics, programming, data modeling, simulation, and advanced mathematics to business problems.</li><li>
Evaluate and optimize model performance using appropriate validation metrics and techniques.</li><li>
Build reusable model pipelines, APIs, and components for scalable AI product deployment.</li></ul><p></p><p><b>
Data Engineering and Data Management</b></p><ul><li>
Preprocess, clean, transform, and integrate structured and unstructured datasets from clinical and operational sources.</li><li>
Build and maintain ETL/data workflows that support ML and generative AI workloads.</li><li>
Work with relational, document, columnar, graph, and object store systems; design schemas for AI and analytics use cases.</li><li>
Ensure data quality, reproducibility, lineage, and governance compliance.</li></ul><p></p><p><b>
Digital Product Integration and Lifecycle Management</b></p><ul><li>
Collaborate with software engineering and platform teams to integrate AI models into production systems with appropriate monitoring and observability.</li><li>
Support documentation, traceability, and regulatory readiness (e.g., auditability, GxP considerations).</li><li>
Contribute to CRG Digital's product development lifecycle including discovery, prototyping, testing, deployment, and iteration.</li></ul><p></p><p><b>
Innovation, Partnerships, and Enablement</b></p><ul><li>
Stay current on emerging AI and ML technologies, evaluating opportunities for CRG Digital roadmaps.</li><li>
Contribute to an innovative ecosystem involving external partners and technology collaborators.</li><li>
Support internal digital and AI upskilling through documentation, best practices, and knowledge sharing.</li></ul><p></p><p><b>
Tools, Technologies, and Platforms</b></p><p>
Programming: Python, SQL, Spark</p><p>
Libraries and Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, LangChain/LangGraph, OpenAI/other LLM SDKs</p><p>
Data Tools: Pandas, NumPy, Jupyter</p><p>
Cloud and Platforms: Databricks, AWS, Azure GCP; S3 or Azure Blob Storage</p><p>
Version Control: Git/GitHub</p><h2 class="jobSectionHeader"><b>
Education and Experience:</b></h2><ul><li>
Bachelor's degree or equivalent and relevant formal academic/vocational qualification. Master's degree preferred.</li><li>
Previous experience in machine learning, AI model development, or data science that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years).</li><li>
In some cases, an equivalency, consisting of a combination of appropriate education, training, and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.</li></ul><p></p><p><b>
Knowledge, Skills, and Abilities:</b></p><ul><li>
Proficiency in modern SQL, Python, Spark, and associated AI/ML packages.</li><li>
Experience with generative AI, large language models, NLP, prompt engineering, and LLMOps best practices.</li><li>
Strong exploratory data analysis skills: ability to validate, visualize, and communicate model behavior.</li><li>
Experience with cloud architecture, distributed computing, and modern ML platforms.</li><li>
Familiarity with data governance, data security, and compliance requirements (preferably in a regulated or clinical environment).</li><li>
Ability to manage multiple priorities in a matrixed environment.</li><li>
Excellent analytical thinking, problem-solving, and communication skills.</li><li>
Ability to work independently with minimal supervision and collaborate effectively with cross-functional teams.</li></ul><p></p><p>
At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:</p><ul><li>
Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.</li><li>
Able to work upright and stationary for typical working hours.</li><li>
Ability to use and learn standard office equipment and technology with proficiency.</li><li>
Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.</li><li>
May require as-needed travel (0-20%).</li></ul><p><br>
Location: Remote US- east coast time zone. Relocation assistance is NOT provided.</p><ul><li>Must be legally authorized to work in the United States or Mexico without sponsorship.</li><li>Must be able to pass a comprehensive background check, which includes a drug screening.</li></ul><p><br>
The annual salary range estimated in the US for this position is $80,000- $100,000 USD. Salary range for Mexico will be supplied upon interview. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.</p></div><p></p>

AI Engineer

Kansas City National Security Campus

<div><div><p>The Kansas City National Security Campus (KCNSC), managed and operated by Honeywell Federal Manufacturing &amp; Technologies, is a premier advanced manufacturing facility that supports the safety, security, reliability and effectiveness of our nation's nuclear deterrent. With nearly 7,000 employees combined in Kansas City, Missouri, and Albuquerque, New Mexico, KCNSC protects our nation and allies by producing trusted national security products and services for the U.S. Department of Energy's National Nuclear Security Administration.</p><br>
<p></p>
<p>
We create innovative solutions to complex national security challenges, and lead with accountability, collaboration and an unwavering dedication to our mission and core values. Click here to view the mission, vision and values that guide our work.</p><br>
<p></p>
<p>
Are you ready to do work that matters?</p>
<div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2>
</div><div><p>
Contribute your expertise in data science to support KCNSC&rsquo;s national security mission. Responsible for leveraging advanced analytics and machine learning techniques to extract meaningful insights from large datasets. Collaborate with cross functional teams to develop solutions which address business needs.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>
Duties and Responsibilities</b></h2>
</div><div><ul><li>Lead and support moderate to highly complex data science and analytics projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications.</li>
<li>Independently develop solutions using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications.</li>
<li>Work and communicate directly with key stakeholders to develop requirements and provide technical solutions through an analysis of manufacturing/business needs and pain points.</li>
<li>Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.</li>
<li>Contribute to the production of information products, supporting visualization and data accessibility in a customer centric manner.</li>
<li>Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.</li>
<li>Strong analytical skills with experience with data mining and modeling.
</li><li>Develop and implement machine learning models to inform business needs and decisions.</li>
<li>Perform data processing and transformation to targeted audience.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>You Must Have</b></h2>
</div><div><ul><li>BS in engineering from ABET accredited institution or Bachelor of Science degree in data science or related field, or two years of relevant experience in lieu of a degree.</li>
<li>Two or more years of relevant experience in data science or related technical activities.</li>
<li>Ability to travel as determined by the needs of the business</li>
<li>Ability to work remote, hybrid, or on-site as directed by management and is determined by the needs of the business</li>
<li>Regular and reliable attendance is an essential function of this job</li>
<li>United States Citizenship</li>
<li>Ability to obtain and maintain a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations)</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>We Value</b></h2>
</div><div><ul><li>Working knowledge of statistics, statistical modeling, and statistical process control.</li>
<li>Practiced using scripting and querying languages such as Python, R, SQL, and others.</li>
<li>Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.</li>
<li>User experience mindset, including the production of visualizations and infographics to distill complex information.</li>
<li>Experience producing analytics data visualizations, preferably using Tableau, MicroStrategy, or equivalent.</li>
<li>Experience working with Hadoop, Hive, Apache Spark, etc.</li>
<li>Experience with machine learning, neural networks, deep learning.</li>
<li>Experience using open-source data analytics and machine learning tools along with other cloud-based platforms.</li></ul><br>
<p></p>
<p>
FMT2021</p></div></div></div>
<p>This job description is not all-inclusive; additional duties may be assigned. Employees must maintain regular, reliable attendance, and be able to work on-site and travel as needed.</p><br>
<p></p>
<p><b>
What We Offer</b></p>
<p>
We are focused on attracting, hiring and retaining talented people who power our mission. Our robust total rewards package recognizes performance, fuels development and supports flexibility. Key features include:</p>
<ul>
<li>Medical, dental and vision insurance</li>
<li>Health Savings Account (HSA)</li>
<li>Industry leading 401(k) match</li>
<li>Generous paid time off</li>
<li>Flexible work schedule</li>
<li>Tuition Reimbursement</li>
<li>Professional Certification &amp; License Programs</li>
<li>Mission driven culture</li></ul><br>
<p></p>
<p>
Click here to learn more about our benefits and culture.</p><br>
<p></p>
<p>
Connect with us on social media: Facebook, LinkedIn and X.</p><br>
<p></p>
<p>
We are required by the Department of Energy (DOE) to conduct a pre-employment drug test and background review, including checks of references, credit, law enforcement records and employment/education history. Applicants must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. Dual citizenship may affect clearance eligibility.</p><br>
<p></p>
<p>
All employment offers are contingent on a federal background investigation. Substance abuse, illegal drug use, falsified information, criminal activity, serious misconduct or other indicators of untrustworthiness may result in denial or loss of clearance and termination of employment.</p><br>
<p></p>
<p>
Honeywell Aerospace 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, age, disability or veteran status and any other protected class under state or federal law.</p><br>
<p></p>
<p><b>
National Nuclear Security Administration (NNSA) Requirements for MedPEDs</b><br>
If you have a medical portable electronic device (MedPED) &mdash; such as a pacemaker, defibrillator, drug‑releasing pump, hearing aids or diagnostic equipment used to measure or monitor body functions &mdash; you may be required to meet NNSA security requirements if employed by us.</p><br>
<p></p>
<p>
If you have a MedPED and are selected for an on-site interview, additional steps may be required to ensure compliance with NNSA security requirements before your interview date.If you require a reasonable accommodation to submit an application, please send an email to our Reasonable Accommodation Support Team at staffing@kcnsc.doe.gov.</p><br>
<p></p>
<p><b>
Additional Information:</b></p>
<ul>
<li><b>Job ID:</b> 5320</li>
<li><b>Category:</b> Engineering</li>
<li><b>Level of Experience:</b></li>
<li><b>Posting Location</b>: KCNSC North 9221 Ward Parkway Kansas City, MO, 64114</li>
<li><b>Remote Eligibility:</b> On-Site</li>
<li><b>Travel Required:</b> 0-10%</li>
<li><b>Approved Work States:</b> MO</li>
<li><b>Hourly/Salary: </b>Salary</li>
<li><b>Division: </b>800</li>
<li><b>Department: </b>E64</li></ul></div></div>

Data Scientist II

The Home Depot

<p>Position Purpose:<br/></p><p>The Data Scientist will be a key architect in building next-generation agentic systems designed to revolutionize how professional customers manage complex projects. This role is responsible for developing autonomous AI capabilities that bridge the gap between simple search and sophisticated project quoting and fulfillment. You will leverage advanced techniques in Conversational AI, Retrieval-Augmented Generation (RAG), and Multimodal AI to unlock vast enterprise catalogs, automate project and product configuration, and provide real-time sourcing across a massive enterprise assortment.<br/></p><p>As a member of the team, you will design the reasoning paths that allow AI agents to navigate &quot;Pro-speak&quot; queries, extract intent from multimodal project inputs, and manage complex state across omnichannel sessions. Your work will directly empower Pro customers to move from discovery to optimized quoting to transaction in minutes, providing a seamless, self-serve experience at scale.<br/></p><p>Key Responsibilities:<br/></p><p>55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies<br/>20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation<br/>10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals<br/>15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>This position typically reports to Manager or above<br/>This position has 0 Direct Reports<br/></p><p>Travel Requirements:<br/></p><p>Typically requires overnight travel less than 10% of the time.<br/></p><p>Physical Requirements:<br/></p><p>Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience<br/></p><p>AI Orchestration: 4+ years of experience in Data Science with a focus on Conversational AI, GenAI, agentic workflows, custom tool-calling, and reasoning traces (e.g., LangSmith).<br/></p><p>Advanced Retrieval: Mastery of RAG and vector database architectures, specifically for extracting technical specs from unstructured enterprise data.<br/></p><p>Multimodal AI: Experience building pipelines to extract structured SKU-level intent from unstructured multimodal inputs, such as photos or handwritten lists.<br/></p><p>Algorithmic Logic: Background in similarity scoring and attribute-matching to resolve vague technical queries.<br/></p><p>State &amp; Engineering: Experience building stateful AI applications that maintain context across devices and sessions.<br/></p><p>Domain Expertise: Prior experience in B2B e-commerce, supply chain, or trade-related data is a significant plus.<br/></p><p>Technical Expertise: Experience in a modern scripting language (preferably Python); proficient running queries against data (preferably with Google BigQuery or SQL); proficient utilizing statistical techniques to identify key insights that help solve business problems; knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP; working knowledge of Microsoft Excel and Power Point<br/></p><p>Minimum Education:<br/></p><p>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Preferred Education:<br/></p><p>No additional education<br/></p><p>Minimum Years of Work Experience:<br/></p><p>3<br/></p><p>Preferred Years of Work Experience:<br/></p><p>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/></p><p>None<br/></p><p>Preferred Leadership Experience:<br/></p><p>None<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm<br/>Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals<br/>Collaborates: Building partnerships and working collaboratively with others to meet shared objectives<br/>Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences<br/>Customer Focus: Building strong customer relationships and delivering customer-centric solutions<br/>Drives Results: Consistently achieving results, even under tough circumstances<br/>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder<br/>Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement<br/>Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals<br/>Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels<br/></p>

Data Scientist

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