Role Description As a Data Science Intern, you will support ongoing research initiatives that keep our enterprise products and our clients' hiring processes on the absolute cutting edge and leverage machine learning to shape the future of hiring. Partnering closely with our world-class data scientists and cross-functional partners in Product Science and Product and Technology, you will have the opportunity to build, validate, and scale machine learning models and agentic workflows. You will also conduct applied research on systems and processes to continuously advance our natural language processing (NLP) and ethical AI capabilities. Essential Duties and Responsibilities - Applied Research & Modeling - Support ongoing research initiatives that keep us on the cutting edge, including in agentic workflow development. - Work with machine learning models to build products and conduct research. - Write code to develop prototypes and utilities to extend or improve our product suite. - Data Preparation & Quality - Drive the preparation of data used to train deep learning models and score unstructured data. - Assure quality of our software in terms of content, scoring, and functionality. - Performance modeling and data analysis. Qualifications - Required - Bachelor’s degree required, with a Master’s degree or PhD in progress in a quantitative/programming field (Computer Science, Statistics, Mathematics, Engineering, Psychology, Economics, Data Science, or related). - Understanding of statistics, machine learning, and deep learning fundamentals. - Proficiency in Python, including common ML libraries (e.g., numpy, pandas, scikit-learn). - Experience with version control (e.g., Git). - Ability to analyze large datasets and draw meaningful, actionable insights. - Strong problem-solving skills — able to synthesize information from multiple sources to solve problems. - Team player with strong collaboration and communication skills; comfortable working closely with data scientists, engineers, and I/O Psychologists. - Self-motivated and able to work effectively with limited supervision; strong prioritization skills. - Preferred - Awareness of state of the art methods in machine learning, deep learning, NLP, and/or generative AI. - Exposure to large language models (LLMs) and generative AI (e.g., prompt engineering, fine-tuning, agentic design patterns, agentic evaluation methods). - Familiarity with SQL and database querying. - Familiarity with cloud platforms (AWS preferred) for ML workflows. Additional Information - All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue: - Hero for our Customers - Enjoy the Journey - Always do the Right Thing - Reach Forwards - Take Action and Go - Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. - Our organization has implemented a BYOD (Bring Your Own Device) policy, ensuring personal apps and data are kept separate from work apps and data. - Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. - Hirevue is NOT currently hiring in: AK, HI, IA, ME, MS, NM or WV.

Role Description The Data Engineer designs, builds, and operates reliable, scalable data pipelines on PowerSecure’s Azure data platform to enable trusted analytics and self‑service BI. This role partners with BI Developers, the Data Architect, and business stakeholders to ingest, model, and deliver high‑quality data using Azure Data Factory, Databricks (PySpark/Spark SQL), and Delta Lake (including Delta Live Tables). Responsibilities include: - Batch/stream ingestion - Data transformation (ELT) - Orchestration - Data quality enforcement - Operational support Qualifications - 2+ years of hands‑on data engineering (or comparable software engineering with significant data work) - 2+ years building pipelines on Azure and Databricks (or equivalent cloud + Spark) - Strong SQL (analytical queries, window functions), PySpark/Spark SQL, and data modeling fundamentals - Bachelor’s degree in MIS, Computer Science, Engineering, or equivalent experience - Proficiency with SQL and Python (PySpark), including performance tuning on large datasets - Experience with Azure Databricks, Delta Lake, Delta Live Tables (DLT), Azure Data Factory (or Fabric Data Pipelines), ADLS Gen2, and Azure DevOps/Git for CI/CD - Working knowledge of Unity Catalog and/or Microsoft Purview for governance, lineage, and security - Familiarity with data ingestion patterns (files, APIs, JDBC), schema evolution, CDC, and deletion detection patterns - Understanding of dimensional modeling to produce analytics‑ready datasets for Power BI - Exposure to orchestration/monitoring, cost optimization, alerting, and runbook‑driven operations - Data pipeline design (batch & streaming), DLT expectations for data quality, and robust error handling - Source control, branching strategies, and CI/CD for data assets (notebooks, jobs, workflows) - Practical understanding of privacy, security, and RBAC in cloud data platforms - Excellent communication, documentation, and cross‑functional collaboration skills - Analytical mindset; bias toward automation and measurable reliability - Applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa sponsorship. Requirements - Design, implement, and support end‑to‑end ELT pipelines (ingest → transform → publish) in Databricks/ADF - Implement data quality checks (DLT expectations, unit tests) with alerting and remediation runbooks - Build curated, analytics‑ready Delta tables using dimensional modeling for consumption by BI Developers - Implement CDC and deletion‑flag patterns; manage schema drift and partitioning/Z‑Ordering strategies - Operationalize jobs with monitoring, logging, alerting; participate in an on‑call rotation as needed - Partner with the Data Architect to align designs with standards for governance, security, and cost efficiency - Document pipelines, data contracts, and SLAs; continuously improve performance and reliability Working Conditions - This position is remote - Occasional travel may be required for training or meetings. - Must be able to work flexible hours to accommodate different time zones (Central/Eastern/Mountain/Pacific), if necessary. - Be flexible for after-hours tasks, as needed. Benefits - Medical, dental, vision and life insurance coverage - Competitive pay and a matching 401 (k) plan - Vacation, Company Holidays, Paid Time Off (PTO- personal and sick days) - Flexible spending accounts/Health savings account - Wellness Incentive Programs - Employee Referral Program - Tuition Reimbursement

Role Description We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases. This role goes beyond traditional data warehousing. You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems, and RAG solutions. You will be responsible for: - Building reliable data pipelines - Developing curated data models and products - Ensuring high-quality, trusted data is readily available for analytics and AI workloads Qualifications - 5+ years of hands-on experience in Data Engineering with proven delivery in production environments - Strong expertise in building scalable data pipelines using Python and SQL - Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar - Strong experience with dimensional data modeling and semantic data models - Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda - Hands-on experience designing, building, and operating modern data infrastructure, including storage, compute, orchestration, and monitoring - Familiarity with modern AI architectures and the data requirements for LLMs, AI agents, and RAG applications Requirements - Strong ownership mindset with the ability to thrive in a fast-paced startup environment - Ability to translate evolving business, analytics, and AI requirements into scalable data solutions - Effective communicator who collaborates well across Data, AI, Product, and Engineering teams - A senior engineer who balances architectural thinking with hands-on execution Benefits - Growth opportunity: Join an AI-forward company driving innovation through artificial intelligence - Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market - Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process - Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers - Leadership visibility: Reporting into the Data Lead which means your projects will be strategic and business-critical - Compensation and perks are great: Competitive compensation and 100% remote work - Culture: Work with some of the best colleagues coming from top tech companies, leading with respect, kindness, and the right to fail

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. < > -Fundamental data analysis job -Develop the efficient Data/Yield analysis environment. -Pioneer to explore new innovative data solution. -Complex and multi factor task/projects. < > -Knowledge and/or experience of basic statistics and statistical analysis. -Experience of working in Semiconductor Industry -Collaborate with PE process engineers to identify and support yield correlation of process and equipment issues. < > -Detailed Knowledge of Micron DRAM Probe testing -Detailed Knowledge of Micron DRAM Process Integration -Knowledge of ESDA -Familiar with Micron Data mining techniques and tools -Thoroughly understand electrical test results, characteristics, and device physics. -Excellent communication skills and can report in meetings. -Can prioritize among many tasks and solve problems with minimal direction. -Data Summary by using AI < > Bachelor's degree < > -Requirement -At least 3 years experience as PI/YE/RDA engineers or equivalent < > -Continuous understandings of the phenomena and logical thinking. -Dealing with requirement from customer consistently and proactively. -Data analysis, problem solving and troubleshooting skills, technical skills to identify, quantify, and solve business problems. -Ability to work collaboratively across an organization. -Better to have interpersonal and communication (written and verbal) skills. -Must have an innovative mindset and ability to challenge oneself to create innovative solutions. < > -基本的なデータ解析業務 -効率的なデータ／歩留まり解析環境の構築 -革新的なデータソリューションを探求する先駆者となること -複雑かつ多要素のタスク／プロジェクトへの対応 < > -基本的な統計学および統計解析の知識• 経験 -半導体業界での勤務経験 -PEプロセスエンジニアと協力し, プロセスや装置の問題における歩留まり相関を特定• サポートすること < > -Micron DRAMのプローブテストに関する詳細な知識 -Micron DRAMのプロセス統合に関する詳細な知識 -ESDAに関する知識 -Micronのデータマイニング手法およびツールに精通していること -電気的テスト結果, 特性, デバイス物理を十分に理解していること -優れたコミュニケーションスキルを持ち, 会議で報告できること -多数のタスクの中で優先順位を付け, 最小限の指示で問題を解決できること -AIを使ってデータSummaryできること < > -学士課程修了 < > -必要条件 -PI／YE／RDAエンジニア, または同等の職種で3年以上の経験を有すること。 < > -現象の継続的な理解と論理的思考。 -顧客からの要求に一貫して積極的に対応します。 -データ分析, 問題解決およびトラブルシューティングのスキル, ビジネス上の問題を特定, 定量化, 解決するための技術スキル。 -組織全体で協力して働く能力。 -対人関係およびコミュニケーション（書面および口頭）スキルがあったほうがよいでしょう。 -革新的な考え方と, 革新的なソリューションを生み出すために自分自身に挑戦する能力が必要です About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_japan@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.