artificial intelligence engineer – remote

associate data engineer

ai engineer

ai/ml engineering intern

artificial intelligence engineer – remote Jobs in Atlanta

data engineer

machine learning engineer

Franklin Fitch

<div>
 <p>
  <strong>
   MLOps Engineer | Hybrid | Atlanta, GA | SaaS | $150K - $200K
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  A technology company is
  <strong>
   embedding AI into its core product workflows
  </strong>
  - predictive models, intelligent automation, and LLM-enabled features - and needs an engineer who can build and own these systems in production. This is a hands-on role at the intersection of applied ML and platform engineering.
  <strong>
   You'll be setting the standard for how AI is built and operated here.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you'll do
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, build, and deploy production ML models - REST inference services, batch pipelines, real-time scoring
  </li>
  <li>
   Establish MLOps practices: model versioning, monitoring, alerting, retraining, and lifecycle governance
  </li>
  <li>
   Evaluate new AI use cases and select the right approach - supervised learning, embeddings, retrieval-driven architectures, or hybrid
  </li>
  <li>
   Integrate ML outputs into product workflows alongside application engineering teams
  </li>
  <li>
   Partner with Data Engineering to ensure AI-ready data pipelines and structures
  </li>
  <li>
   Work with external AI partners initially, then progressively take ownership in-house
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you need
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   7+ years in ML engineering or applied ML, with production-grade systems in enterprise environments
  </li>
  <li>
   Strong Python and ML library experience - scikit-learn, PySpark, pandas
  </li>
  <li>
   Solid MLOps background: MLflow or equivalent model lifecycle tooling
  </li>
  <li>
   Cloud-native experience - Azure preferred; AWS or GCP considered
  </li>
  <li>
   Pragmatic approach to modelling - picks the right tool for the problem, not the most fashionable one
  </li>
  <li>
   Experience with ML and backend development tools: Python, MLflow / MLOps, Azure, scikit-learn / PySpark, REST, inference, APIs, Model monitoring, LLMs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Databricks - for scalable training pipelines and unified data + ML workflows
  </li>
  <li>
   Vector search, embeddings, or retrieval-augmented generation (RAG) experience
  </li>
  <li>
   Hospitality, travel, or similarly data-rich consumer industry background
  </li>
 </ul>
</div>


Machine Learning Engineer

IHG Hotels & Resorts

<div><p>The <b>AI Engineer</b> will build, test, and maintain the models, agentic solutions and infrastructure that power our AI solutions.
</p><p>The ideal candidate has a solid foundation in software development, a passionate interest in AI, and a relentless curiosity to learn. The <b>AI Enginee</b>r is an experienced individual contributor within a project team.
</p><p><b>Your Day to Day</b></p><ul><li>
Contribute to the development of AI/ML models and agentic applications by writing, testing, and documenting code under the guidance of senior team members.
</li><li>Assist in preparing and processing data for model training and evaluation. Help build and maintain data pipelines to support our AI services.
</li><li>Participate in the testing and validation of AI models to ensure they are accurate and performant. Assist in monitoring and maintaining deployed applications.
</li><li>Work closely with other engineers, data scientists, and product managers in an agile environment to deliver on team goals.
</li><li>Actively learn from senior members of the team, participate in code reviews, and continuously develop your skills in AI, machine learning, and software engineering.
</li><li>Uphold high standards for code quality, testing, and documentation. Champion software engineering best practices within the team. Deliver code that is secure, reliable and supportable.
</li><li>Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity. Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient. Effectively use AI code assistants to deliver code.
</li><li>Ensure application diagrams and documentation stay current and relevant.
</li><li>Adherence to agile development methodologies.</li></ul><p>
</p><p><b>What You Will Bring</b></p><ul><li><p>
Education
</p><ul><li><div>Bachelors in a relevant field of work or an equivalent combination of education and work-related experience.
</div></li></ul></li><li><p>Experience
</p><ul><li><div>Typically, a minimum of 5+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
</div></li><li><div>Some professional or academic experience in software development, preferably using Python.
</div></li><li><div>Demonstrated interest in AI and machine learning through coursework, personal projects, or internships.
</div></li><li><div>Solid understanding of core computer science principles and software engineering fundamentals.
</div></li><li><div>A collaborative mindset and strong communication skills.
</div></li><li><div>Experience working with large datasets and complex data pipelines.
</div></li><li><div>Ability to work effectively in a collaborative, agile team environment.
</div></li><li><div>An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning new technologies as they evolve.</div></li></ul></li></ul><p>
</p><ul><li><p>Technical Skill &amp; Knowledge
</p></li></ul><p></p><ul><li><div>Strong programming skills in Python.
</div><ul><li><div>Foundational knowledge of machine learning concepts and algorithms. Familiarity with common libraries like Scikit-learn, Pandas, or NumPy is a plus.
</div></li><li><div>Interest in learning deep learning frameworks such as TensorFlow or PyTorch.
</div></li><li><div>Good analytical and problem-solving skills with keen attention to detail.
</div></li><li><div>Familiarity with Git and version control workflows.
</div></li><li><div>Theoretical understanding of machine learning, deep learning, and natural language processing (NLP).
</div></li><li><div>Hands-on experience with at least one major cloud provider (GCP, AWS, Azure) and their associated AI/ML services.
</div></li><li><div>Experience with both SQL and NoSQL databases, and proficiency with data processing technologies like Spark is a plus.
</div></li><li><div>Understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).</div><div>
</div></li></ul></li></ul><div></div><p><b>Travel - 10%</b></p><p><b>
Location - Our hybrid work structure is an expectation of three (3) days a week in office. This expectation may be adjusted to evolve with the changing needs of the business.
</b></p><p><b>The salary range for this role is $119,000 to $145,000. This role is also eligible for bonus pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401K, and other benefits to employees.</b><br>
<br>
#LI-ZY1
</p><p></p><div><div><div>At IHG Hotels &amp; Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You&rsquo;ll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there&rsquo;s Room for You at IHG.<br>
</div><div></div><br>
<div>Over recent years, we&rsquo;ve transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests &amp; owners love.<br>
</div><div></div><br>
<div>We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That&rsquo;s why here at IHG, we give our colleagues flexibility and balance &ndash; working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that&rsquo;s why leaders work with teams to determine how and when they collaborate.<br>
</div><div></div><br>
<div>We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference.<br>
</div><div></div><br>
<div>Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels &amp; Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives.
</div>
</div></div><div></div><p>Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.</p><p></p><p><b>
Important information</b>:</p>
<ul>
<li>The salary range listed is the lowest to highest pay scale we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee&rsquo;s pay position within the pay range will be based on several factors, including relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs.</li>
<li>No amount of pay is considered to be wages or compensation until it is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remain in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</li>
<li>If you require reasonable accommodation during the application process, please click here.</li>
<li>IHG does not accept applications, inquiries, or unsolicited CVs/resumes from staffing or recruiting agencies. Please click here for our agency policy.</li>
<li>If you are a resident of or applying to a job opening in the State of Washington, please click here to read about applicable benefits.</li></ul></div>

AI Engineer

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


Artificial Intelligence Engineer – Remote

Momentive Software

<div><h1 class="jobSectionHeader"><b>Job Description
</b></h1><p><b>Key Responsibilities:
</b></p><ul><li><b>Data Analysis &amp; Insight Generation
</b></li></ul><ul><li><ul><li><p>Analyze large and complex datasets to extract meaningful insights that drive business outcomes.
</p></li><li><p>Communicate findings and recommendations through reports, dashboards, and presentations.
</p></li></ul></li></ul><ul><li><b>Data Engineering &amp; Preparation
</b></li></ul><ul><li><ul><li><p>Clean, preprocess, and transform raw data for analysis and modeling.
</p></li><li><p>Collaborate with data engineering teams to ensure data availability and quality.
</p></li></ul></li></ul><ul><li><b>Collaboration with Stakeholders
</b></li></ul><ul><li><ul><li><p>Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions.
</p></li><li><p>Translate business problems into analytical frameworks.
</p></li></ul></li></ul><ul><li><b>A/B Testing &amp; Experimentation
</b></li></ul><ul><li><ul><li><p>Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.
</p></li><li><p>Provide statistical rigor in experimentation and decision-making.
</p></li></ul></li></ul><ul><li><b>Research &amp; Innovation
</b></li></ul><ul><li><ul><li><p>Stay up-to-date with the latest developments in data science, machine learning, and AI.
</p></li><li><p>Propose innovative approaches and solutions for complex problems.
</p></li></ul></li></ul><p>Other duties as assigned
</p><p><b>Qualifications
</b></p><ul><li><p>Education
</p><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
</p></li></ul></li><li><p>Experience
</p><ul><li><p>5+ years of experience in data science or a related field.
</p></li><li><p>Hands-on experience with data analysis, machine learning, and statistical modeling.
</p></li></ul></li><li><p>Technical Skills
</p><ul><li><p>Proficiency in <b>Python </b>, <b>R </b>or similar technologies for data analysis and modeling.
</p></li><li><p>Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
</p></li><li><p>SQL proficiency for data extraction and transformation.
</p></li><li><p>Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.
</p></li></ul></li></ul><p></p><h1 class="jobSectionHeader"><b>About Us
</b></h1><p></p><p>Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive&rsquo;s cloud-based software and services to address their most pressing challenges &ndash; from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe &quot;good enough&quot; is never enough &ndash; so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com .<br>
<br>
</p><h1 class="jobSectionHeader"><b>Why Work Here?
</b></h1><p>At Momentive Software, we&rsquo;re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you&rsquo;re looking for a place where your work matters and your ideas are valued, you&rsquo;ll find it here.
</p><p></p><p>Medical, Dental &amp; Vision Benefits
</p><p>401(k) Savings Plan with Company Match
</p><p>Flexible Planned Paid Time Off
</p><p>Generous Sick Leave
</p><p>Inclusive &amp; Welcoming Environment
</p><p>Purpose-Driven Culture
</p><p>Work-Life Balance
</p><p>Commitment to Community Involvement
</p><p>Employer-Paid Parental Leave
</p><p>Employer-Paid Short-Term Disability
</p><p>Remote Work Flexibility
<br>
<br>
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
<br>
<br>
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.</p></div>

Data Engineer III

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, efficiencies and customer value by supporting the data science and analytical needs of THD&rsquo;s Cost Finance Team. This role assists in the development of the Home Depot advanced analytics, machine learning, and AI infrastructure that informs cost mitigation and strategic sourcing decisions. Sr. Data Scientists are expected to seek out business opportunities to leverage data science to improve the company&rsquo;s cost position and profitability. Based on the specific data science team, this role would need to be an expert in data science methods such as data engineering, pipeline development and maintenance, machine learning, and artificial intelligence as well as fluent in cost finance concepts.</p><p></p><p>
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with finance managers and finance leadership, 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><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position reports to manager or above</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree (Computer Science, Math, Statistics, etc.)</li><li>
Bachelor&rsquo;s Degree in required field (Mathematics, Statistics, Economics, Finance)</li><li>
6+ years of experience in business intelligence and data science</li><li>
Working knowledge of international trade dynamics and regulations or experience supporting retail cost mitigation efforts</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis in a retail setting</li><li>
Experience developing production quality databases and pipelines for machine learning/artificial intelligence</li><li>
Demonstrated proficiency in building Gen AI agents and building agentic AI systems</li><li>
Experience working with Application Programming Interfaces (APIs)</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Proficient in Python</li><li>
Proficient running queries against Google BigQuery</li><li>
Proficient with Tableau</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems (including hypothesis testing, regression, time series, machine learning, and deep learning)</li></ul><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p></p>

Senior Data Scientist - Generative BI

Worldpay

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Please note: Sponsorship is NOT eligible for this role including OPT. Applicants must be a US Citizen or Green Card holder.
  <br/>
  <br/>
 </strong>
 <strong>
  Are you ready to write your next chapter?
  <br/>
  <br/>
 </strong>
 Make your mark at one of the biggest names in payments. We&rsquo;re looking for a Data Scientist to join our ever evolving team and help us unleash the potential of every business.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Cincinnati, OH, Denver, CO, or Atlanta, GA office locations, hybrid schedule
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Own As The Data Scientist
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze and extract insights from internal and external data.
  </li>
  <li>
   Employ machine learning and statistical modeling to create and enhance data-driven products.
  </li>
  <li>
   Work with Big Data and transform complex datasets into more usable formats.
  </li>
  <li>
   Utilize a variety of data science tools and programming languages such as Python, R, and SQL.
  </li>
  <li>
   Work independently and collaborate with other groups to solve complex problems.
  </li>
  <li>
   Create and present analyses to internal and external partners and clients.
  </li>
  <li>
   Document models and write code to track and monitor models and product performance.
  </li>
  <li>
   Make pragmatic and business-aware choices when trading off sophistication and accuracy versus implementation and performance costs.
  </li>
  <li>
   Participate in project planning sessions, analyze requirements, and provide design recommendations for complex analytical systems.
  </li>
  <li>
   Other related duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in Data Science, Statistics, Decision Sciences, Applied Mathematics, Economics, Computer Science, or an equivalent combination of education, training, and work experience.
  </li>
  <li>
   Proficient in data science tools and programming languages Python, R, and SQL
  </li>
  <li>
   Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis.
  </li>
  <li>
   Experience or knowledge of cloud-based technology.
  </li>
  <li>
   Ability to collaborate with others and solve complex problems.
  </li>
  <li>
   Outstanding verbal and written communication skills to technical and non-technical audiences at all levels.
  </li>
  <li>
   Excellent analytical, decision-making, problem-solving, team, and time management skills.
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   Positive outlook, strong work ethic, and responsiveness to internal and external clients and contacts.
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  About The Team
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 To learn more about our winning teams, check out our world-class teams that own it every day.
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  What Makes a Worldpayer
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 What makes a Worldpayer? It&rsquo;s simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We&rsquo;re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we&rsquo;re determined, always staying open and winning and failing as one.
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 Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career.
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 Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $101,100.00-$152,550.00. This range reflects what we reasonably expect to offer based on the role&rsquo;s responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate&rsquo;s experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.
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  EEOC Statement
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 Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
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 If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.
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Data Scientist

Honeywell

<div><p>As a Sr Advanced Data Scientist here at Honeywell, you will leverage your expertise in advanced analytics and data science to develop innovative solutions that drive business growth and operational efficiency. You will work on complex data sets and cutting-edge technologies to extract actionable insights that influence strategic decisions.
</p><p>You will work out of our Atlanta, GA location on a hybrid work schedule.
</p><p>In this role, you will impact the company's ability to harness data-driven insights to optimize processes, enhance product offerings, and contribute to Honeywell's leadership in technology innovation.</p></div>
<br><div><h4 class="jobSectionHeader"><b>BENEFITS OF WORKING FOR HONEYWELL
</b></h4><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. For more information visit: click here
</p><p>The application period for the job is estimated to be 40 days from the job posting date 4/3/2026; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
</p><h4 class="jobSectionHeader"><b>ABOUT HONEYWELL
</b></h4><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. Learn more about Honeywell: click here
</p><h4 class="jobSectionHeader"><b>THE BUSINESS UNIT
</b></h4><p>Honeywell Advanced Materials is an industry leading solutions provider, playing a crucial role in advancing industries worldwide through diverse applications, revolutionary inventions, and pioneering technologies focused on high growth mega-trends. Our science and technology experts create solutions that help solve our customers' needs today and in the future. Our solutions span across industries, including retail, healthcare and pharma, buildings, manufacturing and hi-tech. In each of these verticals we bring deep materials and engineering knowledge, which leads to our customers achieving reduction in energy consumption, cutting down their carbon emissions and improving their operational efficiencies.
</p><p><i>Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity : </i>click here
</p><h4 class="jobSectionHeader"><b>YOU MUST HAVE
</b></h4><div><ul><li>Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
</li><li>Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
</li><li>Minimum of 3 years of experience with distributed storage and compute tools (e.g. Spark)
</li><li>Minimum of 3 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
</li><li>Minimum of 2 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
</li><li>Minimum of 2 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs
</li></ul></div><h4 class="jobSectionHeader"><b>WE VALUE
</b></h4><ul><li>Bachelor&rsquo;s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline.
</li><li>Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
</li><li>PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field
</li><li>Experience with MLOPS best practices and implementations
</li><li>Experience with LLM and Natural Language Processing models
</li><li>Experience working with remote and global teams
</li><li>Results driven with a positive can-do attitude</li></ul></div>
<br><div><h4 class="jobSectionHeader"><b>KEY RESPONSIBILITIES
</b></h4><ul><li>The Sr Advanced Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiency based on data analyses and foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes.
</li><li>You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and also be responsible for defining the data acquisition strategy when required.
</li><li>After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be responsible for the overall success of the project. This includes stakeholder management by presenting regular updates and final results to senior leadership of the customer organization.
</li><li>You will also be expected to actively participate in defining and governing our analytics strategy for
</li><li>Honeywell building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions
</li><li>You will report to the Data Science Leader in Honeywell Connected Enterprise.</li></ul></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 Advanced Data Scientist

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