ai & machine learning summer/fall co-op (june '26 - dec '26)

content creator / livestreamer (full-time, on-site)

ai & machine learning summer/fall co-op (june '26 - dec '26) Jobs in Irvine

ai intern - mandarin required Jobs in Irvine

ai intern - mandarin required

ai solutions engineer ii

ai/ml, intern

content creator / livestreamer (full-time, on-site) Jobs in Irvine

ai machine learning summer fall co op june 26 dec 26

Skyworks Solutions

<div><p>If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.</p><p></p><p><br>
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.</p><p>
Requisition ID: 76559</p><div><div><div><h2 class="jobSectionHeader"><b>
Description</b></h2></div><div><div>
As an AI/ML Co-op, you will support engineering efforts for AI and machine learning initiatives spanning multiple business units. You&rsquo;ll lead small projects under the supervision of the enterprise AI/ML engineering team, collaborating with stakeholders from various departments.</div><div>
</div><div>
Term: Summer/Fall Co-Op (June '26 - Dec '26)</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2></div><div><div>
Your responsibilities will include:</div><ul><li>
Gathering and analyzing engineering and business data to identify opportunities for AI/ML solutions.</li><li>
Developing code for core use case functionality with guidance and gradually work independently</li><li>
Designing and implementing new procedures and workflows for AI/ML projects.</li><li>
Identifying bottlenecks and working with cross-functional teams to develop and deploy solutions.</li><li>
Assisting with documentation, reporting, and other project deliverables.</li></ul><div>
This opportunity will allow you to sharpen your AI/ML, technical, and problem-solving skills in a dynamic business environment.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Required Experience and Skills</b></h2></div><div><ul><li>
Current Junior/Senior undergraduate studying Computer Science, Data Science, Electrical, Mechanical, or Industrial Engineering</li><li>
Must be able to temporarily relocate to work on-site, full-time hours from June 2026 to December 2026</li><li>
Experience using programming languages (Python), and AI/ML frameworks like Pytorch, and an understanding of AI algorithms.</li><li>
Proficiency using VScode or other programming IDEs, ramp up learning curve on using code assists to complete tasks. Be able to quickly learn company-specific software (Agentic AI, LangChain, LangGraph, Genie, Databricks).</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Desired Experience and Skills</b></h2></div><div><ul><li>
Programming in Python for over 2 + years, understanding of AI/ML algorithms, be able to solve problems quickly.</li><li>
Self-starter with a strong work ethic, eager to tackle challenges and take ownership.</li><li>
Willingness to work in a hands-on, collaborative environment.</li><li>
Strong time management, communication, organization, and documentation skills.</li></ul><div>
Please note: If you have already graduated and are not currently enrolled in school, you are not eligible for this Co-Op position.</div><div>
</div><div>
#LI-DNI</div></div></div></div><p>
The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.</p><p></p><p><br>
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.</p></div>

AI & Machine Learning Summer/Fall Co-Op (June '26 - Dec '26)

Skyworks Solutions, Inc.

<div>
 If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
 <br/>
 <br/>
 At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
 <br/>
 <br/>
 Requisition ID: 75764
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Skyworks Solutions is seeking a
 <strong>
  Machine Learning Engineer (MLE)
 </strong>
 to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role designed for individuals who thrive at the intersection of cutting-edge machine learning, signal processing, and semiconductor innovation. If you&rsquo;re looking to apply your ML expertise to high-impact, real-world engineering challenges in the analog and RF domain, this is your opportunity.
 <br/>
 <br/>
 Skyworks is an innovator of high-performance analog semiconductors enabling next-generation wireless communications. From 5G to IoT to automotive, our technologies are helping to connect the world. At Skyworks, you&rsquo;ll find a fast-paced environment with a flat organizational structure and global collaboration. We value open communication, creativity, mutual respect, and technical excellence.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a Machine Learning Engineer on the Data Analytics and AI Enablement team, you will lead and contribute to projects that apply advanced ML and deep learning to a variety of use cases across the company&mdash;including design automation, yield prediction, anomaly detection, signal classification, and device modeling. You will collaborate with world-class engineers across electrical, RF, product, and manufacturing domains to deliver real business impact through data and AI.
 <br/>
 <br/>
 <ul>
  <li>
   Predictive analytics for yield and quality improvement
  </li>
  <li>
   Optimization of circuit or device parameters
  </li>
  <li>
   RF signal modeling and anomaly detection
  </li>
  <li>
   Root-cause analysis across test and manufacturing data
  </li>
  <li>
   Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
  </li>
  <li>
   Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners to understand problem statements and translate them into ML solutions.
  </li>
  <li>
   Work on both research-oriented prototypes and production-grade deployments.
  </li>
  <li>
   Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal processing, or high-dimensional time-series data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
  </li>
  <li>
   Strong theoretical and practical experience in machine learning and deep learning, including CNNs, transformers, time-series models, or probabilistic methods.
  </li>
  <li>
   Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
  </li>
  <li>
   Solid understanding of statistics, optimization, and model evaluation techniques.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to work across disciplines and teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to semiconductor, electronics, or RF system domains (e.g., basic understanding of circuit behavior, test data, signal integrity).
  </li>
  <li>
   Experience working with large, complex datasets (e.g., sensor, waveform, or EDA simulation outputs).
  </li>
  <li>
   Familiarity with data infrastructure and workflow orchestration (e.g., Airflow, MLflow, or cloud platforms).
  </li>
  <li>
   Contributions to peer-reviewed research, patents, or open-source ML projects.
   <br/>
   <br/>
  </li>
 </ul>
 The typical base pay range for this role across the U.S. is currently USD $91,200 - $177,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
 <br/>
 <br/>
 Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
 <br/>
 <br/>
</div>


Data Scientist

Rivian

<div><div>We are looking for an AI Solutions Engineer who will support our Product Development organization by implementing scalable AI tools that improve Product Development efficiency and productivity. As an AI Solutions Engineer on the Product Development AI and Data Science team, you will be at the center of Rivian&rsquo;s AI flywheel. Our mission is to bring clarity, rigor, and scale to the complex decisions required to build the world&rsquo;s most adventurous electric vehicles.</div><div></div><div><br>
We&rsquo;re building an intelligent operating system for engineering. You will spend your time at the intersection of product development, software engineering, data science, and LLM orchestration. You will work closely with senior technical staff to automate manual engineering workflows, build predictive models, and deploy agentic AI tools that allow our engineers to focus on innovation rather than administration.</div><div></div><div><br>
The ideal candidate has an understanding of engineering processes for physical products and experience working with IoT, telemetry, and Product Lifecycle Management data. They are capable of developing technical plans in close collaboration with senior technical staff and a wide range of stakeholders and functional teams. They are adept at evaluating existing processes and data ecosystems to find opportunities for optimization and using quantitative approaches to test the effectiveness of different courses of action. The right candidate will be able to assess ambiguous problem spaces and determine the right technical approach ranging from traditional analytics to data science and machine learning to LLM applications.</div><div></div><div><br>
They must have strong experience using a variety of data analysis methods, using a variety of data tools, building and implementing models including AI/LLM applications, and a demonstrated ability to quickly ramp up on domain-specific data systems.</div><div><br>
<ul><li>
Design &amp; Deploy AI Agents: Partner with senior technical staff to build and orchestrate agentic AI workflows and LLM-powered systems (e.g., RAG, GraphRAG) that automate complex engineering tasks such as documentation auditing, requirement generation, and technical knowledge retrieval.<br>
</li><li>
Construct AI-Ready Data Layers: Develop and maintain the specialized data structures&mdash; including knowledge graphs and vector databases&mdash;required to provide high-fidelity context to AI applications across siloed engineering systems.<br>
</li><li>
Execute AI Trials: Lead rapid, high-velocity technical trials to evaluate the viability of emerging AI techniques. You will take projects from initial concept to functional prototype to identify which solutions can most effectively reduce engineering labor.<br>
</li><li>
Bridge Prototype to Production: Build hands-on tools starting from early prototypes to reliable, production-ready solutions that are performant and scalable.</li><li>
Develop Evaluation Frameworks: Define and monitor quantitative performance requirements (accuracy, grounding, latency, and cost) to ensure AI tools meet the rigorous safety and reliability standards of vehicle engineering.</li><li>
Engineering Process Optimization: Collaborate with cross-functional partners to identify manual engineering workflows and implement AI-driven automations that improve overall product development efficiency and productivity.</li></ul></div><div><br>
<ul><li>
Bachelor&rsquo;s, master's, or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Materials Science, Physics, Mathematics, or another quantitative field<br>
</li><li>
0-4 years of experience building production data pipelines and developing AI/ML solutions (LLM- based applications preferred).<br>
</li><li>
High level of programming proficiency in Python and SQL. You should be comfortable writing clean, modular code and querying complex relational databases.</li><li>
AI &amp; LLM Engineering: Hands-on experience or deep academic exposure to LLM orchestration and application concepts, including RAG (Retrieval-Augmented Generation), agentic frameworks, context engineering, grounding, evaluation, and cost/latency optimization.<br>
</li><li>
Experience with Unstructured Data: Ability to extract, clean, and structure data from technical documents, requirements, or engineering specifications.<br>
</li><li>
Software Fundamentals: Demonstrated experience with version control (Git) and an understanding of how to move a model from a notebook to a stable, reproducible environment.<br>
</li><li>
Domain Context: Prior experience or interest in physical engineering systems (Hardware, IoT, or Telemetry).<br>
</li><li>
Strong problem-solving skills with an emphasis on product development<br>
</li><li>
Excellent written and verbal communication skills for coordinating across teams and leading cross-functional efforts<br>
</li><li>
A drive to learn and master new technologies and techniques</li></ul><div>
NICE TO HAVE:</div><ul><li>
Exposure to graph technologies (e.g., Neo4j, Knowledge Graphs) or vector databases (e.g., Pinecone).<br>
</li><li>
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications<br>
</li><li>
Knowledge of a variety of machine learning techniques (clustering, tree-based methods, deep learning, etc.) and their real-world advantages/drawbacks<br>
</li><li>
Experience building user-facing applications using Plotly Dash.<br>
</li><li>
Experience with distributed data/computing tools: Spark, Databricks, etc.</li><li>
Experience with DBT.</li><li>
Interest in electric vehicles, charging, and clean/renewable energy</li></ul></div></div>

AI Solutions Engineer II

Better Debt Solutions

<div><p>Better Companies is a multi-brand financial services organization providing debt relief, tax support, and business funding solutions. We're strengthening our operations, refining our systems, and building a more cohesive, efficient experience across our brands. Our approach is grounded in transparency, strong operational foundations, and well-structured processes that support reliable execution and scalable growth.</p>
<p>
We are seeking a Data Engineer with Microsoft Fabric experience to help design and build<br>
scalable data pipelines, Lakehouse architecture, and analytics-ready datasets within our<br>
enterprise data platform.</p>
<p><b>
Responsibilities</b></p><div><br>
<ul><li>Build and optimize data pipelines and Lakehouse architecture using Microsoft Fabric and</li></ul>
Azure<br>
<ul><li>Develop Python, PySpark, and SQL transformations for large-scale data processing</li><li>Design dimensional models and analytics-ready datasets</li><li>Support AI/ML workflows using Azure OpenAI and Azure Machine Learning</li><li>Collaborate with analytics teams, business stakeholders, and vendor partners to deliver</li></ul>
reliable data solutions</div>
<p><b>
Tech Stack</b></p><p><br>
Microsoft Fabric, OneLake, Azure Data Factory, Python, PySpark, SQL, Delta Lake, Azure<br>
OpenAI, Azure Machine Learning</p><p><br>
<b>
Qualifications</b></p><div><br>
<ul><li>3&ndash;5 years of experience in data engineering or data platforms</li><li>Experience with Microsoft Fabric and Azure data services</li><li>Strong Python, PySpark, and SQL skills</li><li>Experience building ETL/ELT pipelines and enterprise data warehouse environments</li></ul></div><br>
<p></p>
<p><b>
Compensation Range:</b> $120,000- $155,000 base salary depending on experience, plus benefits.</p></div><p></p>

Data Warehouse Engineer – Microsoft Fabric / Azure

Slalom

<div>
 <strong>
  Role: Data Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Who You&rsquo;ll Work With
  <br/>
  <br/>
 </strong>
 At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We&rsquo;re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
 <br/>
 <br/>
 Slalom's Data Engineering Discipline Is Focused On Injecting Intelligence Into Products, Engineering Systems That Support Learning And Insight And Creating Innovative Data Products. Within Data Engineering We Help Customers Build World-class Products Through Effective Use Of
 <br/>
 <br/>
 <ul>
  <li>
   Data engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
  </li>
  <li>
   Enhancing Machine Learning and Artificial Intelligence capabilities
  </li>
  <li>
   You will work collaboratively with teams in a hybrid environment, with expectation to be in-person with Slalom team members and clients as needed.
  </li>
  <li>
   You also must be within commutable distance to one of the listed Slalom office locations for this role.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 Slalom Data Engineering discipline is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
 <br/>
 <br/>
 As a Data Engineer for Slalom, you will work in collaborative teams to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
 <br/>
 <br/>
 You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 You will have an interest to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including:
 <br/>
 <br/>
 <ul>
  <li>
   Big Data Platforms (Apache Spark, Presto, Amazon EMR)
  </li>
  <li>
   Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
  </li>
  <li>
   Object Oriented Coding (Java, Python)
  </li>
  <li>
   NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
  </li>
  <li>
   Container Management Systems (Kubernetes, Amazon ECS)
  </li>
  <li>
   Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
  </li>
  <li>
   Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
  </li>
  <li>
   Visual Analytics (Tableau, PowerBI)
  </li>
  <li>
   Modern Data Workflows (Apache Airflow, dbt, Dagster)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
 <br/>
 <br/>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, &amp; vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
 <br/>
 <br/>
 Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges outlined below. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual&rsquo;s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
 <br/>
 <br/>
 <ul>
  <li>
   Los Angeles, Orange County, San Diegeo
  </li>
  <ul>
   <li>
    Consultant: $99,000 - $133,000
   </li>
  </ul>
  <li>
   Phoenix
  </li>
  <ul>
   <li>
    Consultant: $91,000 - $122,000
    <br/>
   </li>
  </ul>
 </ul>
 We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com.
 <br/>
 <br/>
 <strong>
  EEO and Accommodations
  <br/>
  <br/>
 </strong>
 <em>
  Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact
 </em>
 <em>
  accomodationrequest@slalom.com
 </em>
 <em>
  if you require accommodations during the interview process.
 </em>
</div>


Data Engineer

<div><p>If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.</p><p></p><p><br>
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.</p><p>
Requisition ID: 77033</p><div><div><div><h2 class="jobSectionHeader"><b>
Description</b></h2></div><div><p>
The Demand Management Analyst is responsible for delivering accurate, insight-driven demand plans and inventory strategies that support capital optimization, corporate strategy, and production/sales objectives. This role blends algorithmic planning with business acumen&mdash;leveraging statistical and forecasting models, scenario modeling, and cross-functional inputs&mdash;to drive service levels, profitability, and operational efficiency. The analyst acts as a key integrator across Sales, Marketing, Business Units, Supply Chain, Quality, Logistics, Finance, Operations, and Customer Service, aligning demand, supply, and revenue plans while enabling effective decision-making.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2></div><div><p><b>
Forecasting &amp; Algorithmic Planning</b></p><ul><li>
Review and analyze demand forecasts from statistical methods (e.g., exponential smoothing, ARIMA, regression) and machine-learning&ndash;based forecasting algorithms.</li><li>
Segment demand (e.g., ABC/XYZ, lifecycle stages) and apply fit-for-purpose algorithms to improve forecast accuracy and reduce bias.</li><li>
Integrate external signals (market trends, seasonality, macro factors) with internal data (historical orders, bookings, backlog) to enhance plan fidelity.</li><li>
Use configuration tables to plan and manage inventory levels to meet service-level targets while optimizing working capital.</li></ul><p><b>
Integrated Business Planning &amp; Cross-Functional Collaboration</b></p><ul><li>
Partner with Sales and Marketing to incorporate pipeline, and new product introductions (NPIs).</li><li>
Align with Business Units on revenue targets, product strategies, and portfolio changes.</li><li>
Coordinate with Supply Chain, Quality, and Logistics to understand capacity, lead times, quality constraints, and distribution.</li><li>
Work closely with Operations, and Sales to reconcile demand plans.</li></ul><p><b>
Customer Support</b></p><ul><li>
Coordinate and drive decisions on allocation and prioritization to protect critical customers, channels, and revenue.</li><li>
External customer facing to support supply and operation discussions</li></ul><p><b>
Scenario Modeling &amp; Decision Support</b></p><ul><li>
Run &ldquo;what-if&rdquo; analyses to evaluate demand/supply fluctuations, capacity changes, and risk scenarios (e.g., supplier disruptions, logistics constraints).</li><li>
Quantify tradeoffs (revenue, margin, service levels, expedite costs) and recommend actions with clear assumptions and sensitivities.</li></ul><p><b>
Analytics, Insights &amp; Continuous Improvement</b></p><ul><li>
Analyze demand, supply, and shipment trends to identify opportunities, risks, and root causes of variance.</li><li>
Develop reports that communicate plan changes, accuracy metrics, bias, and performance.</li><li>
Lead improvement initiatives to enhance forecast accuracy, shorten planning cycles.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><div><ul><li>
Bachelor&rsquo;s degree in supply chain management, Math, Business, Economics, Engineering, Data Analytics, or related field.</li><li>
8+ years of experience, or equivalent, in demand planning, forecasting, inventory management, or supply chain analytics.</li><li>
Proficiency with Excel (advanced), ERP/APS planning tools (e.g., SAP APO/IBP, Oracle Demantra, Kinaxis), and data visualization (Power BI/Tableau).</li><li>
Working knowledge of statistical forecasting and algorithmic planning.</li><li>
Strong analytical skills with the ability to translate data into high-level analysis</li><li>
Excellent communication skills and project management skills with demonstrated leadership ability to collaborate across functions and various levels of organization.</li><li>
A tangible passion to take initiatives for winning, contributing and improving</li><li>
Be able to exercises independent judgment in methods, techniques and evaluation criteria for obtaining results.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Desired Experience and Skills</b></h2></div><div><ul><li>
Experience with Python/R and SQL for advanced analytics and model prototyping.</li><li>
Certifications: ASCM CPIM/CSCP, IBF CPF/ACF, PMP or Six Sigma.</li><li>
Industry experience in semiconductors, electronics manufacturing, industrial.</li><li>
Exposure to S&amp;OP/IBP processes and governance.</li><li>
MBA</li></ul></div></div></div><p>
The typical base pay range for this role across the U.S. is currently USD $114,400 - $220,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.</p><p></p><p><br>
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.</p></div>

Sr. Demand Analyst 2

Boot Barn

<div>
 <p>
  The Senior Data Scientist will play a critical role in building the foundation of Boot Barn&rsquo;s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.
 </p>
 <p>
 </p>
 <p>
  Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Essential Duties and Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
  </li>
  <li>
   Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
  </li>
  <li>
   Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
  </li>
  <li>
   Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
  </li>
  <li>
   Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
  </li>
  <li>
   Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
  </li>
  <li>
   Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
  </li>
  <li>
   Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
  </li>
  <li>
   Translate complex model results into clear business insights for technical and non-technical audiences.
  </li>
  <li>
   Demonstrates high level of quality work, attendance and appearance.
  </li>
  <li>
   Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
  </li>
  <li>
   Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
  </li>
  <li>
   Performs any other duties that may be assigned by management.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's or Master&rsquo;s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  </li>
  <li>
   3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
  </li>
  <li>
   Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)
  </li>
  <li>
   Experience with LLMs, vector databases, and RAG pipelines
  </li>
  <li>
   Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
  </li>
  <li>
   Strong collaboration skills, with experience working closely with engineering and product teams.
  </li>
  <li>
   Retail and/or e-commerce experience preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Competencies
  </strong>
 </p>
 <ul>
  <li>
   Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
  </li>
  <li>
   Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Boot Barn Benefits &amp; Additional Compensation Opportunities
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary.
  </li>
  <li>
   Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
  </li>
  <li>
   Paid Time Off plan for year-round Boot Barn Partners.**
  </li>
  <li>
   Medical, Dental, Vision and Life Insurance.**
  </li>
  <li>
   401(k) plan with generous company matching.
  </li>
  <li>
   Flexible schedules and work/life balance.
  </li>
  <li>
   Opportunities for growth at every level &ndash; we are opening 50+ new stores each year.
  </li>
 </ul>
 <p>
  **For eligible Boot Barn Partners
 </p>
 <p>
  PAY RANGE: $125,000.00 - $150,000.00/yr*
 </p>
 <p>
  <em>
   *compensation varies based on geography, skills, experience, and tenure
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Physical Demands
  </strong>
 </p>
 <p>
  In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.
 </p>
 <ul>
  <li>
   Standing, walking and squatting less than fifty percent of the work shift.
  </li>
  <li>
   Required to lift, move and carry up to 40 pounds.
  </li>
  <li>
   Ability to read, count and write to accurately complete all documentation and reports.
  </li>
  <li>
   Must be able to see, hear and speak in order to communicate with partners and customers.
  </li>
  <li>
   Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
  </li>
  <li>
   Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.
  </li>
 </ul>
 <p>
  [ ] Sedentary: Limited activity, no lifting, limited walking
 </p>
 <p>
  [ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking
 </p>
 <p>
  [ ] Moderate: Mostly standing, walking, bending, frequent lifting
 </p>
 <p>
  [ ] Arduous: Heavy lifting, bending, crawling, climbing
 </p>
 <p>
 </p>
 <p>
  <strong>
   Work Environment
  </strong>
 </p>
 <p>
  In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.
 </p>
 <ul>
  <li>
   The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
  </li>
  <li>
   Noise levels are considered moderate.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <em>
   Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.
  </em>
 </p>
 <p>
 </p>
 <p>
  <em>
   Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.
  </em>
 </p>
 <p>
 </p>
 <p>
  California Privacy Notice
 </p>
</div>


Senior Data Scientist

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