applied data scientist

Delta Faucet Company

<div><p>At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.</p><p></p><p><b>
Your Role at Delta Faucet</b></p><p>
Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights!</p><p>
Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company&rsquo;s growth initiatives.</p><p></p><p><b><br>
Responsibilities</b></p><p>
As an Applied Data Scientist within Delta Faucet Company&rsquo;s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI.</p><ul><li>
Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights.</li><li>
Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency.</li><li>
Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams.</li><li>
Build AI and machine learning solutions that are aligned with business needs.</li><li>
Collaborate closely with business stakeholders to translate analytical findings into clear recommendations.</li><li>
Present data-driven recommendations to leaders across the organization, including tactical and C-suite.</li></ul><p></p><p><b><br>
Qualifications</b></p><ul><li><b>
4+ years</b> of experience in data science, advanced analytics, or applied machine learning roles.</li><li><b>
4+ years</b> of hands-on experience applying statistical methods and analytical modeling to real business problems.</li><li><b>
4+ years</b> of experience using <b>Python</b> for data analysis, modeling, and experimentation.</li><li><b>
4+ years</b> of experience writing and refining complex <b>SQL</b> queries against large, structured datasets.</li><li><b>
3+ years</b> of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations.</li><li><b>
2+ years</b> of experience working in a modern analytics platform (e.g., <b>Databricks</b>, Spark/PySpark, or similar).</li><li><b>
1+ years</b> of hands-on‑ experience applying <b>generative AI technologies</b> (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment.</li><li>
Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.</li></ul><p>
Preferred Qualifications</p><ul><li>
2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred.</li><li>
1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings.</li><li>
1+ years of experience with conjoint analysis or other stated-preference research methods.</li></ul><p></p><p><b><br>
Why Join Us?</b></p><p>
At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You&rsquo;ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.</p><p>
Here are some of the benefits we offer for your personal and professional growth:</p><ul><li><b>
Culture:</b> Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.</li><li><b>
Wellbeing:</b> Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.</li><li><b>
Learning &amp; Development:</b> LinkedIn Learning access; internal opportunities to work on projects cross-company.</li><li><b>
Social Impact:</b> Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Company: Delta Faucet Company</b></h2><p></p>
Full time<p></p>
Hiring Range: $88,700.00 - $139,260.00 USD<p></p>
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.<p></p><p><i>
Delta Faucet Company</i> <i>(the &ldquo;Company&rdquo;) is an equal opportunity employer and</i> <i>we </i><i>strive to employ the most qualified individuals for every position</i><i>.</i> <i>The Company makes employment decisions only based on merit. It is the Company&rsquo;s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.</i></p><p></p><p><i>
Delta Faucet Company </i><i>is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.</i></p><p></p><p><i>
E-Verify Participation Poster:</i><i> </i>English &amp; Spanish</p><p><i><br>
E-verify Right to Work Poster:</i><i> </i><i>English</i><i>,</i><i> </i><i>Spanish</i></p><p></p>
#LI-Remote</div>

Applied Data Scientist

Jerry

<div><div><div><b>Why </b><b>Jerry.ai</b></div><ul><li><div>
Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)</div></li><li><div>
Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain</div></li><li><div>
Disrupt a massive market and take us to a $10B business in the next few years</div></li><li><div>
Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article</div></li><li><div>
Be immersed in a talent-dense environment and greatly accelerate your career growth</div></li><li><div>
Impact millions of users experience with car maintenance and auto insurance</div></li></ul><p></p><p><b>
   About the opportunity</b></p><p>
We are looking for a <b>detail-obsessed Applied Data Scientist</b> to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions.</p><p></p><p>
This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis.</p><p></p><p>
   <b>How you will make an impact</b></p><ul><li><div><b>
Model Ownership: </b>Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges</div></li><li><div><b>
Data Quality: </b>Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies</div></li><li><div><b>
Problem Investigation: </b>Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy</div></li><li><div><b>
Cross-Functional Collaboration: </b>Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy and definition of our centralized feature store, ensuring it becomes the 'single source of truth' for all ML models</div></li><li><div><b>
Documentation: </b>Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions</div></li></ul><p></p><p><b>
   Who You Are</b></p><ul><li><div><b>
Obsessed with Details:</b> You have an exceptional eye for detail and a low tolerance for errors. You believe that accuracy and precision are non-negotiable</div></li><li><div><b>
A Strategic Thinker:</b> You can see the bigger picture and are passionate about building robust systems and processes that will stand the test of time</div></li><li><div><b>
Proactive &amp; Persistent:</b> You don't wait for problems to find you. You actively seek out data quality issues and are persistent in seeing an investigation through to its resolution.</div></li><li><div><b>
Curious &amp; Adaptive: </b>You are inherently curious and possess a strong desire to understand how things work. You're comfortable with ambiguity and skilled at breaking down complex problems</div></li></ul><p></p><p><b>
   Requirements</b></p><ul><li><div><b>
Education:</b> Bachelor&rsquo;s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.)</div></li><li><div><b>
Programming:</b> Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation</div></li><li><div><b>
Data Quality: </b>Hands-on experience with data cleaning techniques and data validation frameworks</div></li><li><div><b>
Tooling: </b>Familiarity with data visualization tools to help identify and communicate data issues</div></li></ul><p></p><p><i>
While we appreciate your interest and application, only applicants under consideration will be contacted.</i></p><p></p><p><i>
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
</i></p><p></p><p><i>Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at </i><i>recruiting@jerry.ai</i></p><p></p><p><i>
The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
</i></p><p></p><p><i>We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.</i></p><p></p><p><b>
About Jerry.ai:</b></p><p>
Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.</p><p></p><p>
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.</p><p></p><p>
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.</p><p></p><p>
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.</p><p></p><p>
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.</p></div></div><p></p>

Associate Applied Data Scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div> <div>Strong experience in AI, Machine Learning, and Applied Data Science
</div> <div>Hands on expertise in LLMs / Generative AI / NLP / Deep Learning / Predictive Analytics
</div> <div>Experience in designing and deploying AI solutions on cloud platforms (Azure preferred)
</div> <div>Solid understanding of MLOps, model lifecycle management, monitoring, and governance
</div> <div>Experience with Agentic AI architectures and end to end AI solution design
</div> <div>Knowledge of Responsible AI, data privacy, security, and compliance
</div> <div>Ability to rapidly build prototypes / PoCs and demonstrate business value
</div> <div>Preferred industry exposure: Manufacturing, Supply Chain, Retail (nice to have)
</div> <div>Certifications preferred:
</div><div>o Azure AI Engineer
</div><div>o Azure Data Scientist
</div><div>o Equivalent AI / ML certifications</div><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li> Engage with customers to identify AI opportunities and translate business problems into scalable AI solutions
</li></ul><ul><li> Lead AI discovery workshops, advisory sessions, and Proof of Concepts
</li></ul><ul><li> Architect end to end AI / Agentic AI solutions including:
</li></ul><ul><li> Data ingestion
</li></ul><ul><li> Model development &amp; evaluation
</li></ul><ul><li> Deployment, monitoring, and governance
</li></ul><ul><li> Collaborate with Data Engineering, Cloud, Application Development, and Industry SMEs
</li></ul><ul><li> Provide AI thought leadership, best practices, and solution guidance
</li></ul><ul><li> Review AI solution architectures to ensure quality, scalability, and compliance
</li></ul><ul><li> Develop reusable AI assets, accelerators, and reference architectures
</li></ul><ul><li> Mentor and guide junior AI engineers and delivery teams
</li></ul><ul><li> Support AI capability scale up across manufacturing and cross industry portfolios</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills, If any
</div><ul><li> Strong stakeholder management and customer engagement skills
</li></ul><ul><li> Ability to lead solution discussions with senior business and technology leaders
</li></ul><ul><li> Excellent communication, presentation, and storytelling skills
</li></ul><ul><li> Mentoring and technical leadership capabilities
</li></ul><ul><li> Problem solving mindset with rapid execution focus</li></ul><br>
<div><br>
</div><div>Base Salary Range: $100,000 - $150,000 per annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:</div><br>
<div><br>
<div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Westfield, NJ</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Domain Consultant</div>
</div><div><div><b>Job Id</b></div>
<div>406651</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$150,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI and Machine Learning

ALICE + OLIVIA

<div>
 Location: New York, NY or Secaucus, NJ (Hybrid)
 <br/>
 <br/>
 Decision Science Engineer (Applied Data Scientist)
 <br/>
 <br/>
 <strong>
  POSITION SUMMARY:
  <br/>
  <br/>
 </strong>
 Alice + Olivia is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 <br/>
 <br/>
 This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates.
 <br/>
 <br/>
 Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 <br/>
 <br/>
 <strong>
  RESPONSIBILITIES:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
  </li>
  <li>
   Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
  </li>
  <li>
   Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
  </li>
  <li>
   Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
  </li>
  <li>
   Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
  </li>
  <li>
   Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
  </li>
  <li>
   Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
  </li>
  <li>
   Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
  </li>
  <li>
   Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
  </li>
  <li>
   Document methodologies and assumptions to support long-term ownership and institutional knowledge.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  QUALIFICATIONS:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
  </li>
  <li>
   Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
  </li>
  <li>
   Proficiency in Python for data analysis, modeling, and production-grade code.
  </li>
  <li>
   Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
  </li>
  <li>
   Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
  </li>
  <li>
   Familiarity with experiment design and causal inference.
  </li>
  <li>
   Experience with time-series forecasting at scale.
  </li>
  <li>
   Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
  </li>
  <li>
   Experience working with messy, real-world data and designing models that support business judgment.
  </li>
  <li>
   Ability to reason about semantic or ontology-based data models.
  </li>
  <li>
   Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
  </li>
  <li>
   Long-term ownership mindset for maintaining and evolving models over time.
  </li>
  <li>
   Hands-on experience building or contributing to Palantir Foundry Workshop applications.
  </li>
  <li>
   Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
  </li>
  <li>
   Exposure to agent-based or AI-assisted analytics workflows.
  </li>
  <li>
   Experience working within a formal data governance or steerco-driven prioritization structure.
  </li>
  <li>
   Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ADDITIONAL INFORMATION:
  <br/>
  <br/>
 </strong>
 This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 <br/>
 <br/>
 Alice + Olivia is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 <br/>
 <br/>
 $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
</div>


Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Robert Half

<div>
 <p>
  <strong>
   Position Intel:
  </strong>
  This is part of a new team built out to oversee the internal LLM and AI platforms. This person will be part of a four person AI group however they will be working with many other technical teams and no technical stakeholders across the organization. This person will be responsible for building the agentic workflow systems. Someone who is more of a developer background such as Python/Node would be ideal. Also someone who is in a machine learning function but wants to get away from the training and more into business logic side would be a fit as well. This person will be writing code to do orchestration, integrate business logic, and more complex tasks than a typical model training/tuning. Looking for this person to be involved with applied data science, n8n, understanding agentic workflow patterns, MCP tools, integrations, RAG implementation, and Python. An example would be creating the chat bot to query data sources, this can be in low code/no code but must have worked with code. Because this is a new division for the organization someone proven in the AI world will be a valuable asset. There is already a roadmap in place however this person will also be looked at to make suggestions, improvements, and champion future initiatives. If someone would like to be a true lead/manager of others this position allows for individual contributor but also formal lead structure. This is all on a Nvidia backed infrastructure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Top Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Experience working on/in AI &amp; LLM platforms or services
  </li>
  <li>
   Developer or Machine Learning background
  </li>
  <li>
   Nvidia AI Enterprise Components- ideal not required.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  &ldquo;Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.&rdquo;
 </p>
 <p>
 </p>
</div>


Artificial Intelligence Engineer

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Apr 08, 2026
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 08, 2026 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Development of an AI-driven analytics framework for real-time monitoring. The role focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.</p><br>
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Key Responsibilities</b></p>
<ul>
<li>Develop computer vision and deep learning algorithms for image-based detection.</li>
<li>Implement data fusion and image analysis pipelines for scientific/engineering applications.</li>
<li>Build scalable and real-time inference workflows.</li>
<li>Collaborate with multidisciplinary teams (materials, devices, and systems).</li>
<li>Contribute to publications, reports, and student supervision.</li></ul><br>
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Position Details</b></p>
<ul>
<li>Postdoctoral Researcher or Research Scientist (depending on experience)</li>
<li>Competitive salary and research environment</li>
<li>Based at KAUST with interdisciplinary collaboration</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li>
<li>Strong expertise in:</li>
<ul><li>Computer vision and image processing</li>
<li>Deep learning (e.g., PyTorch, TensorFlow)</li>
<li>Data-driven modeling and analysis</li>
</ul><li>Proficiency in Python and standard ML libraries.</li>
<li>Demonstrated ability to develop practical, deployable models.</li></ul><br>
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Preferred Qualifications</b></p>
<ul>
<li>Experience with scientific imaging or multimodal data.</li>
<li>Background in real-time systems, embedded/edge AI, or sensor data analysis.</li>
<li>Familiarity with defect detection or monitoring systems.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging)

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