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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Accenture - **Location:** United States - **Experience:** Expert - **Salary:** $116,900.0 - $243,100.0 - **Contract:** Permanent contract - **Skills:** SAP Cloud, Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Data Cleansing, Data Governance, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, Systems Development Life Cycle, Tensorflow, Azure Machine Learning, SAP (Applications), SAP NetWeaver Business Warehouse, SAP HANA, SAP NetWeaver Data Management, SQL Databases, Unstructured Data, Data Processing, Feature Engineering, SAP Business Technology Platform, SAPBasis, Data Analytics, SAP S/4HANA, Data Pipelines - **Published:** June 8, 2026 - **Apply:** https://www.dice.com/job-detail/aa7cdb1c-4749-4c03-9f0c-7a01006ce5f4 ## About the Role * 5+ years of experience in data science, advanced analytics, or applied data modeling (ideally with SAP data) * Proficiency in Python or R, SQL, and data manipulation libraries * Experience with SAP Analytics Cloud Predictive, SAP BTP AI Core, or integrating SAP data with external ML platforms * Strong understanding of data preparation and feature engineering for large ERP datasets * Solid statistical and machine-learning background with the ability to explain models to non-technical audiences * Strong analytical, problem-solving, and communication skills Nice to have: * SAP BW/4HANA experience * Familiarity with SAP HANA modeling, BW queries, or SAP BTP services * Experience with cloud-based ML platforms (AWS Sagemaker, Azure ML, etc.) * Background in data governance, data quality frameworks, or production model deployment Eligibility requirements: * U.S. Citizenship (no duals) * Ability to obtain a client Public Trust government clearance ## Description The Data Scientist is responsible for analyzing complex datasets to drive business decisions and deliver actionable insights across SAP and non-SAP environments. This role leverages statistical methods, data modeling, and visualization techniques to solve business challenges and support decision-making. The Data Scientist will gather, wrangle, and validate data; develop analytic pipelines; design predictive models; and communicate findings through dashboards, KPIs, and executive-ready visualizations. The role collaborates closely with cross-functional teams to implement data-driven solutions and deliver AI/ML-based frameworks that generate measurable business value., * Collect, organize, and wrangle data from SAP and non-SAP sources; build reusable analytics and data pipelines * Clean, validate, and preprocess structured and unstructured datasets to ensure high-quality inputs for analysis * Conduct statistical and exploratory analyses to identify trends, patterns, and business insights * Develop predictive and prescriptive models using SAP Analytics Cloud Predictive or external ML frameworks integrated with SAP data * Enhance data collection procedures to support analytic system development * Create dashboards, KPIs, and data visualizations to clearly communicate findings to business stakeholders * Support data reconciliation and KPI validation between source systems and analytics outputs * Collaborate with IT, business analysts, and leadership to implement data-driven solutions * Design and deliver AI/ML-based decision-making frameworks; measure and justify model value ## Related Videos - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Evolving the developer experience in the age of AI](https://www.wearedevelopers.com/videos/100201-evolving-the-developer-experience-in-the-age-of-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)