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associate applied data scientist

data engineer

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

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

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

ServiceNow

<div><b>Company Description</b><p><br>
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today &mdash; ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500&reg;. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.</p><b><br>
Job Description</b><p><br>
Job Description</p><p>
The New Logo Account Executive is a pivotal role to ensuring ServiceNow&rsquo;s continued growth. In this role, you will identify new business by strategically navigating a targeted set of prospective accounts to close initial opportunities and convert our Prospects to Customers who will grow with us for years to come. By deeply understanding their unique company challenges and goals, you will pair them with solutions that will help them reach their business objectives and blaze new trails within their organizations. You play a critical part in our &ldquo;DESCO21&rdquo; go-to-market strategy, and you will be set up for success within a fast paced, collaborative, and inclusive culture.</p><p>
You are a self-starter and an innovator. You will establish relationships within a defined set of accounts to achieve net new revenue growth targets for your given territory. By leveraging analytics, case studies, past performance, and market intelligence, you will create a territory plan and craft your own target account strategies. You will then apply these strategies and leverage your extended sales team and partner ecosystem to sell the value and long-term ROI of one or more of our industry leading solutions.</p><p>
Post-sale you will lead in orchestrating the transition of these accounts to our established Account Management team as you continue to focus on net new logo accounts.</p><p>
What you get to do in this role:</p><ul><li>
Strategic territory planning - Follow a disciplined and analytical approach to planning and maintaining a target new account pipeline. Keep pipeline current and progressing.</li><li>
Sales strategies - Develop effective and specific account plans to maximize new revenue growth. Develop and leverage relationships throughout our strong partner networks and in your net new customer accounts to drive strategy through organization.</li><li>
Creative marketing and prospecting &ndash; Think outside-the-box to cultivate awareness of the ServiceNow vision. Strong planning and execution of targeted campaigns for your territory.</li><li>
Customer Acumen - Actively understand each customer&rsquo;s strategic growth plans, technology footprint and corresponding technology strategy, internal challenges and competitive landscape. Review public information (e.g., new executive appointments, earnings statements, press releases) for the company and its competitors to remain updated on key industry trends and issues impacting the prospect.</li><li>
Advance and close sales opportunities - through the successful execution of the sales strategy and roadmap.</li><li>
Account Transition &ndash; After successfully closing your initial sale, you will orchestrate the transition of the account to our Account Management team.</li><li>
Net New Revenue &ndash; Execute on new business revenue goals for the organization.</li></ul><p>
Qualifications</p><p>
To be successful in this role you have:</p><ul><li><b>
Candidates living in GA, FL, NC or SC will be considered</b></li><li>
Proven track record of new logo sales experience in IT Service Management, HR, Security Operations, Customer Service, IT Operations Management (within software or IT sales organizations) with a demonstrated ability to generate new business at new accounts.</li><li>
Demonstrated experience in territory strategy, planning and sales execution with measurable wins.</li><li>
Ability to understand broad, macro-level business IT needs for a prospective client.</li><li>
Ability to break down a complex sales process into discrete activities and see steps ahead to deliver customer outcomes.</li><li>
Excellent interpersonal skills to inspire and lead a matrix team to establish trust and credibility with prospective customers.</li><li>
Demonstrated perseverance, resilience, and savvy to find new creative paths to open doors, increase interaction and participation, and engage prospects.</li><li>
The ideal candidate lives our values to &ldquo;stay hungry and humble&rdquo; and doesn&rsquo;t take their success for granted, always curious, ready to learn and evolve.</li><li>
Travel up to 50% (depending on geography/region)</li></ul><br>
<b>
Qualifications</b><p><br>
Preferred Qualifications</p><ul><li>
4+ years of quota carrying, technology solution-based direct sales experience, penetrating net new accounts within a territory.</li><li>
Strong sales strategy skills and demonstrated experience prospecting and bringing in new business.</li><li>
Experience and success selling a variety of SaaS solutions across all lines of business.</li><li>
Demonstrated experience in keeping accurate forecast your territory, monthly/quarterly/annually, utilizing sales tools and analytics to target customers with higher propensity to buy and creating strategies that maximize success.</li><li>
Ability to thrive in a fast-paced environment.</li><li>
Track record of consistently achieving or surpassing your sales quota</li></ul><br>
<b>
Additional Information</b><p><b><br>
Work Personas</b></p><p>
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.</p><p><b>
Equal Opportunity Employer</b></p><p>
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.</p><p><b>
Accommodations</b></p><p>
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.</p><p><b>
Export Control Regulations</b></p><p>
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.</p><p>
From Fortune. &copy;2025 Fortune Media IP Limited. All rights reserved. Used under license.</p></div>

Associate New Logo Account Executive

Workday

<div>
 <strong>
  Your work days are brighter here.
  <br/>
  <br/>
 </strong>
 We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Are you passionate about building data products that solve problems across an entire company? We are a cross‑functional team of Data Analysts who partner with product, sales, operations, and business leaders to design and deliver data products that drive better decisions at scale. As a Sr. Associate Data Analyst, you will work across domains and functions to understand business needs, shape data product requirements, and turn complex data into reliable, intuitive solutions and insights for stakeholders.
 <br/>
 <br/>
 You&rsquo;ll collaborate closely with colleagues who deeply understand Workday&rsquo;s data, systems, and business processes, giving you opportunities to develop strong foundations in analytics, data modeling, and product thinking. This role is a great fit if you enjoy learning new domains, working with diverse partners, and seeing your work embedded in reusable data products that power decisions across the company.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Workday is looking for a
 <strong>
  Associate Data Analyst
 </strong>
 with a passion for cross‑functional collaboration and building scalable data products. In this role, you will use your analytical thinking, business analysis skills, and technical toolkit (including SQL and modern analytics tools) to analyze complex business problems using data from internal and external sources, and to translate those needs into well‑designed, reusable data assets.
 <br/>
 <br/>
 You&rsquo;ll partner with stakeholders across multiple organizations to:
 <br/>
 <br/>
 <ul>
  <li>
   Understand their objectives and pain points,
  </li>
  <li>
   Define shared metrics and data requirements,
  </li>
  <li>
   Co‑design data products (datasets, models, reports, and dashboards) that can be used broadly rather than as one‑off solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with cross‑functional stakeholders (e.g., product, sales, finance, HR, operations) to identify, define, and clarify business problems and opportunities, and translate these into clear data product requirements.
  </li>
  <li>
   Analyze datasets from Workday and other systems to identify trends, patterns, and drivers that inform the design of scalable data products and shared metrics.
  </li>
  <li>
   Design and iterate on reusable data assets (e.g., curated datasets, semantic layers, standardized dashboards) that can support multiple teams and use cases, rather than one‑off analyses.
  </li>
  <li>
   Write and optimize SQL queries to extract, join, and validate data from relational sources, ensuring performance, reliability, and alignment with our data models.
  </li>
  <li>
   Use data analysis tools and visualization platforms to build intuitive, self‑service reporting and analytics experiences that empower stakeholders to answer their own questions where appropriate.
  </li>
  <li>
   Apply strong Analytical Thinking and Problem Analysis to break down complex, ambiguous questions into structured problems with clear hypotheses, methods, and success criteria.
  </li>
  <li>
   Demonstrate Business Acumen by understanding how different functions operate, how their metrics relate, and how shared data products can create leverage across organizations.
  </li>
  <li>
   Contribute to Data Governance by helping define and document metrics, data definitions, and usage guidelines for data products, and by raising and tracking data quality issues with appropriate owners.
  </li>
  <li>
   Collaborate with analytics engineers, data engineers, and other analysts to align on data models, pipelines, and technical standards that support reliable data products.
  </li>
  <li>
   Participate in and sometimes facilitate cross‑functional design reviews, stakeholder workshops, and feedback sessions to refine data products and ensure they meet real user needs.
  </li>
  <li>
   Support testing and validation of new or updated data products, including sanity checks, reconciliation with source systems, and tracking issues through to resolution.
  </li>
  <li>
   Contribute to documentation, playbooks, and knowledge‑sharing so that data products are well understood and easy to adopt across teams.
   <br/>
   <br/>
  </li>
 </ul>
 Over time, you will deepen both your product and analytics capabilities, taking on more complex cross‑functional initiatives.
 <br/>
 <br/>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 Basic Qualifications
 <br/>
 <br/>
 <ul>
  <li>
   2+ years of professional experience in a data‑focused role (e.g., Data Analyst, Product Analyst, Business Analyst, Reporting Analyst) working closely with stakeholders to solve business problems using data.
  </li>
  <li>
   Hands‑on experience writing and using SQL to query and manipulate data from relational databases or structured datasets.
  </li>
  <li>
   Experience with at least one data visualization / BI tool (e.g., Tableau, Power BI, Looker, or similar) to build reports or dashboards that are used by multiple stakeholders.
  </li>
  <li>
   Experience in Finances is a must.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Other Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solid understanding of relational data concepts and basic data modeling, including relationships, joins, aggregations, and how to structure data for analytics and reporting.
  </li>
  <li>
   Strong Analytical Thinking and Problem Analysis skills, with the ability to decompose complex, cross‑functional questions into smaller, answerable components and choose appropriate analytical approaches.
  </li>
  <li>
   Demonstrated experience in Business Analysis: capturing requirements, mapping business processes to data, and converting stakeholder needs into clear data or reporting specifications.
  </li>
  <li>
   Strong verbal and written communication skills, with the ability to explain data concepts, trade‑offs, and findings in a way that resonates with different audiences, from technical partners to business leaders.
  </li>
  <li>
   Experience with Python or R for data analysis, automation, or experimentation is a plus.
  </li>
  <li>
   Familiarity with Workday data, Salesforce.com, reporting, analytics, or similar enterprise application data domains is a plus.
  </li>
  <li>
   Demonstrated ability to collaborate effectively across multiple teams and levels, build trust, and influence through data and clear reasoning.
  </li>
  <li>
   Comfortable working in an iterative or agile environment, incorporating feedback, and adjusting as priorities and learnings evolve.
  </li>
  <li>
   Ability to maintain high standards of data integrity and confidentiality, and to support Data Governance practices in your day‑to‑day work.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Workday Pay Transparency Statement
  <br/>
  <br/>
 </strong>
 The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here.
 <br/>
 <br/>
 Primary Location: CRI.Heredia
 <br/>
 <br/>
 Primary Location Base Pay Range: ₡20,170,400 CRC - ₡30,255,600 CRC
 <br/>
 <br/>
 Additional US Location(s) Base Pay Range: $79,800 USD - $141,700 USD
 <br/>
 <br/>
 <strong>
  Our Approach to Flexible Work
  <br/>
  <br/>
 </strong>
 With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply
 <strong>
  spend at least half (50%) of our time each quarter in the office or in the field
 </strong>
 with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
 <br/>
 <br/>
 Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
 <br/>
 <br/>
 Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
 <br/>
 <br/>
 At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
 <br/>
 <br/>
 <strong>
  Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
  <br/>
  <br/>
 </strong>
 At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
 <br/>
 <br/>
 Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
 <br/>
 <br/>
 In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
 <br/>
 <br/>
 ,
 <br/>
 <br/>
</div>


Associate Data Analyst

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.<br>
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require 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>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% 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><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery 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></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>
10</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>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</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 Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div><p></p>

Data Science Senior Manager - Generative BI

<div><p><b>Position Purpose:</b></p><p>
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this strategic initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics.<br>
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . 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 Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require 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>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management</li><li>
20% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% 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>
Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
9+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Expertise in predictive modeling, data mining and data analysis</li><li>
Mastery 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><li>
Experience managing and growing team members in a professional setting</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>
8</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>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</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 Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div><p></p>

Data Science Manager - GenBI

Explore 66+ Data engineer in Atlanta this May. Find roles across top companies and apply now to boost your career.