Job DescriptionJob DescriptionFocusKPI 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 USDuration:9+ months contractPay 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 decisionsBuild a data pipeline for model development, including gathering and building datasets, cleaning messy data, identifying assumptions, and designing a feedback loop on data needsWork 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 behaviorsAssist Senior Strategy Analysts and Senior Data Scientists in project management of strategic initiativesImplement and validate predictive models as well as create and maintain statistical models with a focus on big dataWrite comprehensive and accurate model development documentation; create presentations and financial models to communicate new strategic ideas for internal departmentsExplain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problemsSolve analytical problems, and effectively communicate methodologies and results both in writing and verballyBuild business intelligence dashboards for internal leaders and stakeholders to track key performance indicatorsPartner with cross-functional team to streamline data science solutionsQualifications:PhD or master’s degree in Computer Science, Statistics, or Data ScienceMinimum of 4-5 years of experience in data science, building hands-on ML models, measurement, marketing strategy, and data analyticsStrong proficiency in data processing usingPythonand libraries such as Pandas, NumPy, and Scikit-learnProficient inSQLand relational databasesExperience working withlarge datasetsExperience developing natural processing (NLP) modelsExperience withMLOps (e.g., Airflow)In-depth understanding ofMachine Learning and AIalgorithms, and model evaluationGood understanding ofSAPandCRM data. Experience with SAP would be a huge plusExpertise in SAP data structures, including SAP HANA, SAP BW, OData, BAPI, and IDocs, isStrong understanding ofworkflow orchestration tools(e.g., Apache Airflow, Prefect, or Azure Data Factory) to automate and schedule data tasks.Experience withProject managementProficiency with data warehouses, cloud computing, data storage, and ETLs.Familiarity with building data visualization dashboardsBilingual proficiency in Chinese and English is highly .Strong can-do attitude and willingness to take ownershipStrong problem-solving skills to address complex business requests through a blend of technical expertise, logical, and creative thinkingBiz acumen, communication (both oral & written), and storytelling skillsA learning and growth mindsetWillingness and ability to quickly learn new technology and apply it to achieve business objectivesThey need to beproactiveand have asense of urgency.**No C2C profiles are accepted**Thank you!FocusKPI Hiring TeamFounded 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.NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to .The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.Powered by JazzHRmEw1olB6bw #J-18808-Ljbffr ZipRecruiter
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