Data Scientist & Engineer (SAP)

Wal-Mart; Boston (MA); Remote; USD 200,000 - 250,000; Full time

Job summary

A leading company is seeking a Data Scientist & Engineer with experience in SAP to develop data architectures for AI/ML applications. The role involves building data pipelines, optimizing data structures, and collaborating with teams to drive business insights. Fluency in English and Chinese is preferred. This is a remote position within the US, offering a competitive pay rate based on experience.

Qualifications

• Minimum of 4-5 years of experience in data science and building ML models.
• Strong proficiency in data processing using Python and libraries.

Responsibilities

• Use machine learning and AI techniques to solve complex problems.
• Build a data pipeline for model development and data cleaning.
• Work in an agile, collaborative environment with cross-functional teams.

Skills

Python

Machine Learning

Problem Solving

Communication

Education

PhD or master’s degree in Computer Science, Statistics, or Data Science

Tools

SAP

SQL

Airflow

Job description

FocusKPI is looking for aData Scientist &Engineer (SAP)to work onour company’s internal projects.

Our internal team is looking for a Data Scientist with a Data Engineering background and prior experience with SAP skills. This person needs to develop and optimize data architectures that support business intelligence, predictive analytics, and AI/ML applications. This role involves designing and structuring data pipelines that connect SAP, Databricks, and Microsoft CRM, enabling trend analysis, forecasting models, and AI-driven insights.The focus is not just onETL pipelinesbut onbuilding a feature storerather than traditional data models.

This role requires a deep understanding of how data should be organized to support efficient reporting, historical trend analysis, and advanced analytics.

Given our global operations, fluency in both English and Chinese is highly beneficial.

Work Location:Remote - anywhere in the US
Duration:9+ months contract
Pay Range:$50+/hr (on basis of experience level)

**No C2C profiles are accepted**

Responsibilities:

• Use machine learning and AI techniques (e.g., predictive models, uplift models, personalization models, and NLP tools) to solve complex problems and drive business decisions
• Build a data pipeline for model development, including gathering and building datasets, cleaning messy data, identifying assumptions, and designing a feedback loop on data needs
• Work in an agile, collaborative environment, partnering with other data scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
• Assist Senior Strategy Analysts and Senior Data Scientists in project management of strategic initiatives
• Implement and validate predictive models as well as create and maintain statistical models with a focus on big data
• Write comprehensive and accurate model development documentation; create presentations and financial models to communicate new strategic ideas for internal departments
• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
• Solve analytical problems, and effectively communicate methodologies and results both in writing and verbally
• Build business intelligence dashboards for internal leaders and stakeholders to track key performance indicators
• Partner with cross-functional team to streamline data science solutions

Qualifications:

• PhD or master’s degree in Computer Science, Statistics, or Data Science
• Minimum of 4-5 years of experience in data science, building hands-on ML models, measurement, marketing strategy, and data analytics
• Strong proficiency in data processing usingPythonand libraries such as Pandas, NumPy, and Scikit-learn
• Proficient inSQLand relational databases
• Experience working withlarge datasets
• Experience developing natural language processing (NLP) models
• Experience withMLOps (e.g., Airflow)
• In-depth understanding ofMachine Learning and AIalgorithms, and model evaluation
• Good understanding ofSAPandCRM data. Experience with SAP would be a huge plus
• Expertise in SAP data structures, including SAP HANA, SAP BW, OData, BAPI, and IDocs, is preferred
• Strong understanding ofworkflow orchestration tools(e.g., Apache Airflow, Prefect, or Azure Data Factory) to automate and schedule data tasks.
• Experience withProject management
• Proficiency with data warehouses, cloud computing, data storage, and ETLs.
• Familiarity with building data visualization dashboards
• Bilingual proficiency in Chinese and English is highly preferred.
• Strong can-do attitude and willingness to take ownership
• Strong problem-solving skills to address complex business requests through a blend of technical expertise, logical, and creative thinking
• Biz acumen, communication (both oral & written), and storytelling skills
• A learning and growth mindset
• Willingness and ability to quickly learn new technology and apply it to achieve business objectives
• They need to beproactiveand have asense of urgency.

**No C2C profiles are accepted**

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

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