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associate applied data scientist

senior data scientist

<div><p><b>Before you apply to a job, select your language preference from the options available at the top right of this page.</b></p><p></p><p>
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.</p><p></p><p><b>
Job Description:</b></p><p>
UPS US Marketing is looking for a talented and driven Business Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced data analysis where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders.</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and statistical methods</li><li>
Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools.</li><li>
Understand and apply appropriate methods for cleaning and transforming data</li><li>
Work across multiple stake holders to develop, maintain and improve models in production</li><li>
Take the initiative to create and execute analyses in a proactive manner</li><li>
Deliver complex analytical and visualizations to broader audiences including upper management and executives</li><li>
Understand the application of advanced analytics to solve complex business problems</li></ul><p></p><p><b>
Qualifications</b></p><ul><li>
MS in a quantitative discipline and 2+ years of relevant work experience or Ph.D in a STEM field</li><li>
Proficiency in Python and SQL</li><li>
Experience in applied statistics and analytics utilizing programming languages (Ex: Python or R)</li><li>
Proficient in cloud computing using Azure and Google cloud environments</li><li>
Proficient in data concepts and transformation methods</li><li>
Effective presentation skills utilizing PowerPoint and visualization methods to explain complex concepts</li><li>
Experience in reporting and analytics using dashboards (PowerBI, Tableau, Looker, etc.)</li></ul><p></p><p><b>
Bonus Qualifications</b></p><ul><li>
Experience with pricing methodologies and revenue management</li><li>
Experience using PySpark, Azure Databricks, Google Bigquery and Vertex AI</li><li>
Creating and implementing AI and GenAI based projects</li><li>
Familiarity with Data architecture and engineering</li></ul><p></p><p><b>
Employer will not sponsor a visa for this position. Must be currently in the same geographic location as the job or willing to relocate yourself.</b></p><p></p><p><b>
Job Grade- 20G</b></p><p><b>
Last day to apply internally- 4/22/26 @ 11:59am EST</b></p><p></p><p><b>
Employee Type:</b></p>
Permanent<p></p><p>
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.</p><p></p><p><b>
Other Criteria:
</b></p><p>UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.</p><p></p><p><b>
Basic Qualifications:</b></p><p>
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.</p></div><p></p>

Business 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

The Home Depot

<div><b>Position Purpose:</b><p>
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
<br>
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.</p><b><br>
Key Responsibilities:</b><ul><li>
35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; 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</li><li>
30% Project Management &amp; Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team</li><li>
20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage</li><li>
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; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented</li></ul><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
This position reports to manager or above</li><li>
This position has 0 Direct Reports</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><br>
<b>
Physical Requirements:</b><ul><li>
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.</li></ul><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><ul><li>
PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
</li><li>6+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Proficient in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li></ul><br>
<b>
Minimum Education:</b><ul><li>
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.</li></ul><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
5</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Sr. Data Scientist – Finance Analytics, Automation & AI (AAA)

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior Data Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Data Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior Data Engineer to lead the design and development of the scalable, high-performance data architecture that underpins our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Architect and develop scalable, resilient batch and streaming data pipelines using ADF, Databricks, and Spark &mdash; designed for the throughput and reliability CDP demands at population scale.</li></ul>
<ul><li> Design and implement end-to-end data architecture across ADLS, Snowflake, Cosmos DB, and SQL Server, ensuring optimal storage strategies for different customer data workloads.</li></ul>
<ul><li> Define and enforce data modeling standards, data contracts, and schema evolution strategies that protect the integrity of CDP as the single source of truth.</li></ul>
<ul><li> Build and maintain data quality, reconciliation, and observability frameworks &mdash; ensuring every customer profile meets the accuracy and completeness thresholds required for trusted, authoritative data.</li></ul>
<ul><li> Optimize performance, scalability, and cost efficiency of large-scale distributed data systems processing billions of customer records.</li></ul>
<ul><li> Develop and manage data ingestion frameworks for APIs, event streams (Event Hub/Kafka), and enterprise systems &mdash; ensuring no customer touchpoint is missed.</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's or Master's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 6+ years of experience in data engineering and distributed data systems</li></ul>
<ul><li> Proven experience designing and implementing enterprise-scale data platforms serving high-volume, high-reliability use cases</li></ul>
<ul><li> Strong experience in cloud-native architectures (Azure preferred)</li></ul>
<ul><li> Technical Skills</li></ul>
<ul><li> Advanced programming: Python, Spark (PySpark/Scala), SQL</li></ul>
<ul><li> Azure ecosystem: ADF, ADLS, Databricks</li></ul>
<ul><li> Data platforms: Snowflake, Cosmos DB, SQL Server</li></ul>
<ul><li> Strong expertise in ETL/ELT design, streaming architectures, and data modeling for customer-centric data domains</li></ul>
<ul><li> Experience with API integrations and event-driven architectures at scale</li></ul>
<ul><li> Hands-on experience with data quality frameworks, reconciliation techniques, and monitoring &mdash; with a focus on trust and accuracy</li></ul>
<ul><li> Familiarity with data support for AI/ML use cases (e.g., feature pipelines, data preparation, metadata management for identity resolution)</li></ul>
<ul><li> Basic understanding of RAG, vector search, and LLM-driven applications (supporting role, not primary ownership)</li></ul>
<ul><li> Experience implementing data governance, lineage, and access controls in regulated environments</li></ul>
<ul><li> Expertise in performance tuning and cost optimization for population-scale data processing</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong system design and architectural thinking for data platforms that must be both authoritative and performant</li></ul>
<ul><li> Ability to handle large-scale, complex data ecosystems spanning hundreds of source systems</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $70,000-$105,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 70,000.00 to 105,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior Data Engineer — Customer Data Platform

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior AI/ML Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Software Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior AI/ML Engineer to lead the design and development of the advanced AI systems that make our Customer Data Platform (CDP) the authoritative source of truth for customer data &mdash; covering the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Design and lead end-to-end identity resolution architecture, combining probabilistic models, ML, and embedding-based techniques to build the authoritative customer identity graph</li></ul>
<ul><li> Build and optimize large-scale entity matching systems across billions of records and multiple data domains &mdash; ensuring every US adult is accurately represented in CDP</li></ul>
<ul><li> Architect advanced candidate generation and blocking strategies (LSH, phonetic encoding, semantic similarity) that balance precision with computational feasibility at population scale</li></ul>
<ul><li> Design high-precision matching pipelines using ensemble approaches (rules + ML + LLM-based validation) to maximize accuracy of golden customer profiles</li></ul>
<ul><li> Develop scalable clustering and graph-based approaches for unified customer identity resolution with clear confidence scoring and auditability</li></ul>
<ul><li> Lead implementation of embedding pipelines and similarity search systems using transformer models for semantic-level identity matching</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's or Master's degree in Computer Science, Data Science, or related field</li></ul>
<ul><li> 6+ years of experience in ML/AI engineering</li></ul>
<ul><li> Proven experience building production-grade entity resolution or identity graph systems at scale</li></ul>
<ul><li> Experience designing LLM-based applications in enterprise environments with high accuracy and trust requirements</li></ul>
<ul><li> Technical Skills:</li></ul>
<ul><li> Advanced programming: Python</li></ul>
<ul><li> Deep expertise in ML algorithms for similarity, classification, and clustering &mdash; particularly in identity resolution contexts</li></ul>
<ul><li> Strong experience with transformer models, embeddings, and semantic search at population scale</li></ul>
<ul><li> Hands-on experience with LLM APIs and orchestration frameworks</li></ul>
<ul><li> Strong SQL and experience with distributed data processing (Spark, Dask)</li></ul>
<ul><li> Experience with vector databases and ANN search systems (FAISS, Pinecone, etc.)</li></ul>
<ul><li> Expertise in ML lifecycle management (MLflow or equivalent)</li></ul>
<ul><li> Understanding of data governance, privacy, and security requirements for customer identity data</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong system design and architectural thinking for AI/ML systems at population scale</li></ul>
<ul><li> Ability to balance precision, recall, and scalability in identity resolution systems &mdash; understanding that accuracy directly impacts CDP's authority as the source of truth</li></ul>
<ul><li> Strong understanding of data semantics and customer domain modeling across diverse data sources</li></ul>
<ul><li> Leadership in driving AI engineering best practices, standards, and quality benchmarks</li></ul>
<ul><li> Ability to collaborate across data engineering, product, security, and business teams to deliver trusted customer intelligence</li></ul>
<ul><li> Licenses and Certifications</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $75,000-$113,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>agentic ai,api integration,generative ai,machine learning,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 75,000.00 to 113,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior AI/ML Engineer — Customer Data Platform

Honeywell

<div><p>As a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI and data solutions for Honeywell&rsquo;s industrial customers, with a focus on IoT and real-time data processing. In this role, you will design and implement scalable data architectures and pipelines that enable next-generation AI capabilities, including large-scale machine learning models, intelligent automation, and real-time analytics. You will work closely with cross-functional teams to transform high-volume IoT telemetry into reliable, actionable insights that support Honeywell&rsquo;s connected industrial solutions.<br>
</p><p><br>
You will report directly to our Data Engineering Manager and you&rsquo;ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F.<br>
</p><p></p><p><b>KEY RESPONSIBILITIES
</b></p><p><b>Data Engineering &amp; AI Pipeline Development:
</b></p><ul><li>Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
</li><li>Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
</li><li>Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
</li><li>Lead the architecture and development of scalable data platforms on Databricks
</li><li>Drive the integration of GenAI capabilities into data workflows and applications
</li><li>Optimize data processing for performance, cost, and reliability at scale
</li><li>Create robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference
</li></ul><p><b>DataOps:
</b></p><ul><li>Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutions
</li><li>Design and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring
</li><li>Create self-service data assets enabling data scientists and ML engineers to access and utilize data efficiently
</li><li>Design and maintain automated documentation for data lineage and AI model provenance
</li></ul><p><b>Collaboration &amp; Innovation:
</b></p><ul><li>Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment
</li><li>Mentor team members and provide technical leadership on complex data engineering challenges
</li><li>Establish data engineering best practices, including modular code design and reusable frameworks
</li><li>Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape</li></ul></div>
<br><div><p><b>YOU MUST HAVE
</b></p><ul><li>Minimum 5 years of experience building production data pipelines in Databricks processing TB scale data
</li><li>Extensive experience implementing medallion architecture (Bronze/Silver/Gold) with Delta Lake, Delta Live Tables (DLT), and Lakeflow for batch and streaming pipelines from
</li><li>Event Hub or Kafka sources
</li><li>Strong hands-on proficiency with PySpark for distributed data processing and transformation
</li><li>Strong experience working with cloud platforms such as Azure, GCP and Databricks, especially in designing and implementing AI/ML-driven data workflows
</li><li>Proficient in CI/CD practices using Databricks Asset Bundles (DAB), Git workflows, GitHub Actions, and understanding of DataOps practices including data quality testing and observability
</li><li>Hands-on experience building RAG applications with vector databases, LLM integration, and agentic frameworks like LangChain, LangGraph
</li>Natural analytical mindset with demonstrated ability to explore data, debug complex distributed systems, and optimize pipeline performance at scale<br>
<li>
</li></ul><p></p><p><br>
<b>WE VALUE
</b></p><ul><li>Experience building RAG and agentic architecture solutions and working with LLM-powered applications
</li><li>Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
</li><li>Knowledge of MLOps practices and experience building data pipelines for AI model deployment
</li><li>Experience with time-series databases and IoT data modeling patterns
</li><li>Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads
</li><li>Strong background in data quality implementation for AI training data
</li><li>Experience working with distributed teams and cross-functional collaboration
</li><li>Knowledge of data security and governance practices for AI systems
</li>Experience working on analytics projects with Agile and Scrum Methodologies<br>
<li>
</li></ul><p></p><p><b>US PERSON REQUIREMENT
</b></p><p>Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.<br>
</p><p></p><p><br>
<b>BENEFITS OF WORKING FOR HONEYWELL
</b></p><p>In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.<br>
</p><p></p><p><br>
<b>ABOUT HONEYWELL
</b></p><p>Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.<br>
</p><p></p><p><br>
<b>THE BUSINESS UNIT
</b></p><p>Honeywell Connected Enterprise (HCE) is the software division of Honeywell with a strategic focus on digitization, sustainability, and OT Cybersecurity SaaS offerings and solutions. HCE was established to leverage Honeywell&rsquo;s domain expertise and lead the transition into a cutting-edge industrial software company. Since our inception in 2018, HCE established the category of intelligent operations and built a new platform born out of decades of operational data and insights, uniting real-time data across assets, people, and processes into a system of record for a 360-degree view. This is our flagship offering - Honeywell Forge. We are a global team of thousands of innovators with expertise spanning industrial operations, software engineering, data science, artificial intelligence, and process engineering. We are paving the way for our customers to grow responsibly. We believe the future is what we make it. As a Honeywell Futureshaper, you are a part of something bigger. You can work with highly capable people to make the world a better place and become the best you. After all, we are not imagining the future; we&rsquo;re building it.<br>
</p><p></p><p><br>
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/7/2026</p></div>
<br><div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Sr Data Engineer

Truist

<div><p><b>The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.</b></p><p></p><p>
Need Help?</p><p></p><p><i>
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to </i><i>Accessibility</i><i> (accommodation requests only; other inquiries won't receive a response).</i></p><p></p><p><b>
Regular or Temporary:</b></p>
Regular<p></p><p><b>
Language Fluency: </b>English (Required)</p><p></p><p><b>
Work Shift:</b></p>
1st shift (United States of America)<p></p><h3 class="jobSectionHeader"><b>
Please review the following job description:</b></h3><p></p>
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.<p></p><p><b>
ESSENTIAL DUTIES AND RESPONSIBILITIES</b><br>
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.<br>
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.<br>
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.<br>
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.<br>
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.<br>
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.<br>
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.<br>
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist&rsquo;s capabilities.<br>
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.</p><p><b><br>
QUALIFICATIONS</b><br>
<b>Required Qualifications:</b><br>
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<br>
1. Bachelor&rsquo;s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training<br>
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests<br>
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes<br>
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment<br>
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)<br>
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark<br>
7. Experience in managing multiple projects with tight deadlines in a collaborative environment</p><p></p><p><b>
Preferred Qualifications:</b><br>
1. Master&rsquo;s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering<br>
2. Four years of relevant work experience if candidate lacks graduate degree<br>
3. Previous experience in the banking or fin-tech industry</p><p></p><p><b>
OTHER JOB REQUIREMENTS / WORKING CONDITIONS</b></p><p><b>
Sitting</b><br>
Constantly (More than 50% of the time)<br>
<b>Visual / Audio / Speaking</b><br>
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.<br>
<b>Manual Dexterity / Keyboarding</b><br>
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.<br>
<b>Availability</b><br>
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.<br>
<b>Travel
</b><br>
Minimal and up to 10%</p><p></p><p><b>
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: </b>All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.</p><p></p><p><b><i>
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.</i></b></p><p></p><p>
EEO is the Law E-Verify IER Right to Work</p></div>

Fraud Data Scientist II

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