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.
Key responsibilities:- 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
Here's what you need:- 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
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:
$116,900-$243,100 USD
