FocusKPI is looking for a Data Scientist & Engineer (SAP) to work on our 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 on ETL pipelines but on building a feature store rather 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 using Python and libraries such as Pandas, NumPy, and Scikit-learn Proficient in SQL and relational databases Experience working with large datasets Experience developing natural language processing ( NLP ) models Experience with MLOps (e.g., Airflow) In-depth understanding of Machine Learning and AI algorithms, and model evaluation Good understanding of SAP and CRM 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 of workflow orchestration tools (e.g., Apache Airflow, Prefect, or Azure Data Factory) to automate and schedule data tasks. Experience with Project 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 be proactive and have a sense 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. 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. #J-18808-Ljbffr FocusKPI, Inc.
...must be a fast learner who makes an effort to learn all aspects of the business in the shortest possible time. While having a NYS Notary Public license is not a requirement, possessing this skill/experience will enhance your qualifications and improve your chances for...
...participant care responsibilities including but not limited to: Light housekeeping, assist with laundry, use supplies accurately and economically... ...~ Voluntary benefits including accident, critical illness, hospital indemnity insurance, identity theft protection, universal life...
...years of experience with: # Palo Alto Networks next generation firewall services. # Intrusion... ...Control - Cisco Identity Services Engine (ISE), Free Radius, and Access Control... ...# Cloud based virtual networking and security services # Authentication standards -...
...0pm SUMMARY OF RESPONSIBILITIES Under the direction of the Facilities Coordinator, Custodian 2 is responsible for providing a clean, healthy, attractive, safe, and odor-free environment in their assigned buildings and areas. The duties include responsibility for an...
We are looking for good pathology MTs who can work evenings. Must reside in the U.S. or Canada. Our MTs are independent contractors working from home. For more information regarding earning potential, equipment needed, and the reports we transcribe. Please email us for...