Remote Data Engineering & Analytics Jobs

Company Description EPM Vacancy Description Senior SAP Datasphere Consulting Services Minimum 2 years of experience consulting in the module Must have participated in: At least 3 implementation projects with on-premise and cloud solutions using SAP S/4HANA and SAP BTP, performing the role of Senior Consultant. SAP Consulting with extensive experience in modeling real-time data flows and integrating with embedded analytics. Knowledge of CDS ABAP-based modeling and developments in SAP HANA with calculated views, utilizing CDS business content. Knowledge of SAC business content, SAC management dashboard design, and SAC development scripts. Consultant with knowledge of Python, SQL, Datasphere business content, modeling in data builder and business builder layers, and experience in star schema-based development. Courses in SAP Analytics Cloud and Modeling and Data Management with SAP Datasphere Generation of documentation for project artifacts. Expected training for the individuals providing the service Certifications or training in SAP analytics modules. Knowledge of proposed accelerators for implementation. Knowledge of the SAP Activate methodology or the proposed implementation methodology. Professional degree in administration, science, or engineering fields - Attach a copy of the diploma or degree certificate. Certification S

At Solventum , we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum , and we’re committed to protecting your personal information—learn more in our Privacy Policy: Job Description: Portfolio Manager – Finance Data Office ( Solventum ) 3M Health Care is now Solventum At Solventum , we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum , we never stop solving for you. The Impact You’ll Make in this Role As a Portfolio Manager – Finance Data Office you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Owning and continuously improving the FDO portfolio intake and governance process, including demand capture, qualification, priori

Data Analyst Minimum Requirements: Matric (Grade 12) Relevant bachelor's degree or equivalent experience Minimum of 3 years of experience Knowledge of PySpark and distributed computation Highly efficient in ETL processes Proficiency in Python and SQL Strong analytical skills with high attention to detail. Proven knowledge of software development best practices Experience with Agile methodology and problem-centric solution design A pragmatic mindset, not afraid of making mistakes, and learning from them Strong communication and interpersonal skills Youre a team player, have great communication skills and are interested in technical things Responsibilities: Analyse complex data using our Palantir Foundry analysis tool , Athena, and Python, to provide support for our AI product development Support data engineers and data scientists with analysis and data requirements Analyse performance of AI implementations and report results to stakeholders Conduct in-depth data analysis to understand data quality, structure, and pipelines. Originally posted on Himalayas

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

About Creai: At Creai, we specialize in harnessing the power of artificial intelligence and machine learning to transform businesses. Our mission is to help clients reduce costs, increase efficiency, and unlock new opportunities through cutting-edge AI solutions. Position Description: As a Data Engineer, you will be a key technical leader responsible for designing, building, and operating highly complex, scalable, and high-performance data architectures and pipelines. You will lead the integration of diverse data sources and the transformation of large volumes of information to support advanced analytics and artificial intelligence solutions. You will have a significant impact on the technical direction of our data platform, mentoring others and solving the most difficult challenges related to data quality, governance, and efficiency. This Role Requires Leadership in: Data Pipeline Development: Designing and building optimized, scalable code for complex, distributed data pipelines (batch and streaming), applying advanced data design patterns, and promoting best practices. Data Quality and Testing Strategies: Designing and implementing robust testing strategies for pipelines and datasets (including data quality tests), and guiding others in writing high-quality tests. Advanced Debugging and Observability: Debugging complex issues...

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Senior Data Engineer (AI-Native) — Data Layer About Us Proton is building the AI operating system for wholesale distribution, embedded in the workflows that move nearly every physical product on the planet. Distribution is a $9 trillion industry, and the software that runs it has been stuck in the past for decades — most tools create more work than they eliminate. We unify CRM, PIM, eCommerce AI, and Order & Quote Entry AI into one platform with one data layer and one AI brain, so reps spend their time deepening customer relationships, not entering data. We hire people with high agency and high urgency. At Proton , everyone is a builder who owns problems end to end and ships AI-native software faster than anyone else in the category. The median Proton customer reports 3x profit return per dollar spent, an extra day of sales per rep per month, and “the best ROI of any tech investment in 30 years.” Hundreds of leading distributors — from family-owned shops to publicly-traded enterprises across, industrial, HVAC, electrical — run on Proton . We’re backed by Felicis Ventures (Twitch, Shopify, Opendoor) and Battery Ventures. If you want to build the systems that shape how trillions of dollars of physical goods move through the economy, Proton is the place to do it. The Role We're hiring a Senior Data Engineer to own and grow our Data Layer — the unified foundation that every Proton product and our AI brain are built on. You'll own the pipelines and architecture end to end: the

Hello! :) Have you ever thought about being part of a Brazilian group driven by the purpose of creating solutions to improve people's lives? We are looking for a professional to act as a Data Scientist in the corporate IT department of Grupo Autoglass. If you like working with a more strategic approach, have an eye for continuous improvement, problem-solving, comfort with numbers and logical activities, and want to work in a growing company, then Grupo Autoglass is your place! Apply today! Understand business demands and translate them into technical tasks with team support; Support data transformation and loading operations (ETL/ELT); Support database modeling and the creation of data sources; Analyze and interpret data using statistical techniques and machine learning; Communicate the results of analyses and models through technical reports and visualization environments; Support the construction and initial tests of models under guidance; Follow best practices for model consumption APIs; Participate in the documentation and standardization of analysis processes; Collaborate with multidisciplinary squads; Support the security and integrity of the data used and the standardization of processes in the MLOps pipeline; Perform related activities. Completed higher education in Technology, Exact Sciences, or related fields; Experience with Data Science or Data Analysis; Intermediate knowledge in programming (preferably Python); Knowledge...

Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you! At 3Cloud , we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud ’s core values because they know that it will result in amazing experiences and solutions for our clients and each other. Responsibilities: • Technical delivery in both Agile and Waterfall methodologies • Implement solutions using the Microsoft Power BI tool suite and related technologies. • Leverage advanced database systems including data warehouses, data marts, and models needed for business, financial and operational analysis and/or reporting. • Develop high performing, reliable and scalable solutions. • Ability to clearly communicate technical details to business and management personnel. • Perform data analysis that will support and enhance Information Management systems. • Author, oversee and gain approval of design documents for projects assigned. • Develop repo

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

We are looking for a Data Scientist with a solid background in Python, statistics, and Machine Learning, capable of developing robust models, evaluating their impact on business problems, and delivering clean, modular, and production-ready code. Essential technical requirements: Over 5 years of experience as a Data Scientist. Advanced proficiency in Python as the primary development language. Experience with data science and Machine Learning libraries: Scikit-learn, XGBoost, LightGBM, Pandas, Polars, Statsmodels, SciPy. Knowledge of applied statistics, experimental design, and hypothesis testing. Experience in model validation, bias analysis, and evaluation of business metrics. Advanced SQL and experience with PySpark for data exploration and transformation. Experience handling data in cloud environments, especially GCS or Azure Blob Storage. Experience using Git within the standard development workflow. Ability to write modular, organized, and reusable Python code beyond exploratory notebooks. Knowledge of experiment tracking and lineage tools, such as MLflow or equivalents. Ability to document models and apply best practices in development and data management. Desirable skills: Experience with Deep Learning frameworks: TensorFlow or PyTorch. Use of Generative Artificial Intelligence tools as development assistants. Technical criteria to evaluate the relevance of LLMs and agent systems.

Industry: Pharmaceutical Manufacturing Number of employees: approx. 13'000 Reference number: RY9YV39X Key Facts: SAP Datasphere, SAP Analytics Cloud, process optimization, Project Management/Program Management, flexible hours / home office. Main tasks: Drive data-driven decision-making across the organization. Design and develop data products for the service business, with a focus on company-wide reporting. Support organizational development through process mining, process analysis, and process optimization. Lead data-related development initiatives and deliver insights for strategic decision-making. Strengthen a data-driven culture and enable data-powered services across the organization. Design and develop data models based on SAP Datasphere. Create analytical dashboards and KPI-based reports using SAP Analytics Cloud. Identify optimization opportunities based on analytical results. Implement, document, and roll out data models and analytics solutions. Lead data-driven projects and initiatives as Project Manager or Program Manager. Build and implement process mining solutions for root cause analysis. Your qualifications: Bachelor's or Master's degree in Computer Science, Business Informatics, Data Science, or a related field. Strong interest in data, analytics, and business processes. Excellent conceptual thinking and structured problem-solving skills. Strong technical capabilities combined with a business-oriented mindset. Ability to identify opportunities for improving processes.

Working at Freudenberg: We will wow your world! Responsibilities: Responsible for individual tasks and sub-projects within the development, execution, documentation and updating of data analytic procedures (e.g. for tax data processes and analyses specifically for Pillar 2 and CbCR); Contributes to the implementation and maintenance of efficient data extraction methods from major financial reporting applications (ERP systems, consolidation systems, SAP Profitability and Performance Management (PaPM)); Enhances standardization and automation in the entire data analytics process chain; Supports the assessment and implementation of relevant IT software solutions, like SAP PaPM, and KPMG’s KBAT Pillar 2 tool; Maintenance of Task List for Global Tax Processes team; Training of CTC as well as Business Group personnel in tax data collection procedures; Ad-hoc support to Senior Manager Global Tax Processes and Director Transfer Pricing and Global Tax Processes. Qualifications: University Degree in Business Administration/Economics/IT/Business Informatics/Industrial Engineering or similar; Min. 3-4 years relevant work experience in a tax analyst or tax technology role either with a large multinational group or an established tax consultancy firm, preferably with at least 3 years of related accounting or tax experience; A qualification in tax or accounting and at least some knowledge of country/international tax and IFRS accounting standards would be beneficial; Moderate experience in

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Job Purpose: The Vice President, Enterprise Data & AI is the executive accountable for driving the enterprise-wide execution, adoption, governance, and value realization of TD SYNNEX 's Data & AI strategy. Reporting to the SVP, Digital Innovation & Enterprise Architecture, this leader converts enterprise strategy into delivered outcomes across the Data Platform, AI Factory, Data Governance, Business Intelligence, and AI Enablement functions, and owns the business results those functions produce. The role carries accountability for the value of the Data & AI portfolio, not only its delivery. It sets the operating model, prioritizes investment, and establishes the governance and responsible AI controls under which AI is deployed globally. The VP partners with business, technology, security, finance, and legal leaders across four regions to align priorities, remove barriers, and accelerate outcomes that improve decision quality, productivity, and financial performance. Responsibilities: Own execution of the enterprise Data & AI roadmap, ensuring strategic priorities are delivered consistently across regions, functions, and business units. Approve sequencing and trade-off decisions across speed, quality, risk, and cost, and hold director-level leaders accountable for committed outcomes. Own the benefits case for the Data & AI portfolio from investment approval through post-implementation review. Partner with business leaders and Finance to set baselines, a

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide. Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you. Make an impact — from near or far At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming. We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states. The opportunity The Data Security Engineer implements, operates, and helps improve the security controls that protect institutional data across the enterprise data estate, including analytics platforms such as Microsoft Fabric and Databricks, relational database platforms such as Azure SQL and SQL Server, and the pipe

Work location: German-speaking Switzerland | Industry: Consulting | Employees: 1,000 - 2,000 Your Responsibilities: - Consulting for large, international clients within complex SAP CX, S/4 HANA Customer Management, or SAP CRM projects - Creation of technical concepts including system integration - Configuration and development of customer, sales, and marketing processes (incl. SAP Cloud for Customer, SAP Marketing, S/4 HANA Customer Management, SAP CRM) - Support of business development activities and topic development - (Sub-)Project management in interdisciplinary and highly qualified teams - Consulting and implementation of SAP Master Data Governance (MDG) solutions for our clients - Analysis, conception, and optimization of master data processes and strategies - Integration of SAP MDG into existing ERP system landscapes - Requirement gathering and creation of functional concepts - Technical configuration and customizing of SAP MDG - Training and coaching of clients as well as support in change management - Close collaboration with internal and external stakeholders to develop innovative data management solutions Your Profile: - At least 5 years of experience as an SAP MDG consultant, ideally with additional knowledge in other SAP modules, S/4HANA, and Fiori/UI technologies - Sound knowledge in the implementation and consulting of SAP MDG, including SAP ERP, S/4HANA, and master data processes - Experience in all project phases, preferably in agile projects (e.g., according to Scrum or SAFe) - Familiar with SAP Solution

Position Summary The New Build Deployment Enablement Manager (DEM) serves as the central coordination point for network infrastructure deployment at new Data Center builds — from cable start through Production Ready (PR). This role is "the glue" between Design, Engineering, Construction and Network Deployment teams and all cross-functional partners, ensuring milestones are tracked, dates are committed, and teams are aligned across every phase of the network build. The DEM heavily influences cross-functional teams to provide and commit to dates, serves as the single source of truth for deployment milestones, and drives accountability when timelines slip. This is not a passive tracking role — it requires deep technical fluency in Data Center network infrastructure, the ability to navigate complex multi-team political dynamics, and the confidence to escalate blockers to senior leadership. Key Responsibilities Milestone Coordination & Tracking Own and maintain the New Build Deployment Tracker for assigned buildings — tracking milestones from Cable Ready to Production Ready (PR) Drive weekly New Build coordination calls with cross-functional and internal teams Track dependencies across multiple network layers Integrate with construction and network schedules and maintain alignment between multiple schedule sources Cross-Functional Leadership & Communication Lead or co-lead New Build calls starting at cable start for data centers being built Post weekly program updates — hi

Job Description: As a Remote Data Entry Clerk, you will be responsible for accurately inputting and managing various types of data into digital databases, spreadsheets, or other data management systems Ideal Candidate: The ideal candidate will be essential to maintaining data accuracy, integrity, and efficiency within our organization. Key Responsibilities: Accurately and efficiently input and update data from various sources into digital databases or spreadsheets using established guidelines and procedures. Review and verify data for accuracy, completeness, and consistency, promptly correcting any errors or discrepancies. Conduct data cleansing and quality control tasks to ensure data integrity, including the identification and resolution of duplicates and inconsistencies. Maintain organized digital records and files, ensuring easy access to stored data when needed. Generate reports and summaries based on stored data to support decision-making processes and business operations. Communicate effectively with team members and supervisors through digital channels, providing progress updates and promptly addressing data-related queries. Adhere to strict data security and confidentiality protocols to protect sensitive information. Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners Create spreadsheets with large numbers of figures without mistakes Perform regular backups to ensure data preservation Job Catego

The Company Serving the People Who Serve the People Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn. Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serve—driving meaningful change for communities around the globe. Want to know more? See more of what we do here. Job Summary The Granicus Experience Group (GXG) is Granicus ' in-house digital agency — a cross-functional team of strategists, analysts, communicators,

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. Job Summary To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Business Development Manager based remotely from within Ontario, Canada. Reporting to the Head of Sales for North America, the Business Development Manager will be in charge of qualifying new customers and generating new business, developing business with them, achieving pipeline and bookings results according to assigned targets. What a typical day looks like: Utilizes customer relationships and market intelligence to develop sales and account penetration. Recognize the breadth and depth of Anord Mardix capabilities to develop proactive solutions or answer to proposal which differentiates Flex and enables the customer to address key issues and/or drive top line growth. Create and drive personal pipeline in line with overall business unit strategy. Play a guidance role in devising strategies to promote Anord Mardix shaping propositions to meet client requirements working alongside Product Line, Sales ops, and Operations te

With a career at The Home Depot, you can be yourself and also be part of something bigger. The Home Depot is able to offer virtual employment of this position in the following states: AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY Position Purpose: The Data Scientist works with price optimization based on future forecasted outcomes of price and promotions. The successful candidate will be responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. Key Responsibilities: 55% Solution Development - Design and develop algorithms and models to use against large datasets to create bu

Band Level 6 Job Description Summary This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel. Job description summary This Director, Innovative Customer Data Product Lead, sits within Data Products and Foundations, under Data Partnerships, Innovation and Products. The role reports to the Executive Director, Innovative Data Offerings and Products and partners closely with DEO (Data Enablement Organization) to execute the strategy set for trusted, reusable, AI-ready data products. This role owns customer-facing data products across payer, HCP, omnichannel, and engagement domains, defining the vision, roadmap, prioritization, adoption plan, and value measures needed to improve customer targeting, segmentation, omnichannel orchestration, field execution, payer insights, and engagement performance. The Director will ensure products are defined in innovative ways that go beyond datasets, embedding business meaning, rules, metrics, lineage, metadata, and context so they can be reused by business users, analytics teams, and AI-enabled solutions. Job Description Key Responsibilities: Own the product strategy, roadmap, prioritization, and lifecycle management for Payer, HCP, Omnichannel, Engagement. Define produ