All roles

Data Scientist and Engineer

Remote · USA Full-time New today

Data Scientist & Engineer (SAP) Boston, MA Contracted Mid Level 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 https://reportfraud.ftc.gov/ . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com. Apply Job! Apply to this Job

Related roles

Sr Consultant - DB2 SME Sysprog

Remote · USA Full-time

Heroku Account Executive (Enterprise Accounts)

Remote · USA Full-time

Divisional Sales Manager - Stable Value

Remote · USA Full-time

Digital Producer, West Hub

Remote · USA Full-time

Foundation Business Manager, Finance and Operations

Remote · USA Full-time

Heroku Account Executive (Enterprise Accounts)

Remote · USA Full-time

Product Marketing Manager

Remote · USA Full-time

Guest Services Manager

Remote · USA Full-time

Consumer Loan Processor

Remote · USA Full-time

Process Scientist/Engineer

Remote · USA Full-time

Compassionate Health Care Customer Service Representative – Supporting Patient Wellness at arenaflex

Remote · USA Full-time

Patient Account Associate - Special Programs: Vendors - Remote - MUST RESIDE IN NC

Remote · USA Full-time

[Remote/WFM] Patient Registration Rep

Remote · USA Full-time

Experienced Remote Entry-Level Data Entry Specialist – Full-Time Home-Based Opportunity for Career Growth and Development

Remote · USA Full-time

Digital Branch Customer Service Supervisor – Lead Customer Experience and Operations at arenaflex

Remote · USA Full-time

Enterprise Account Manager

Remote · USA Full-time

Pharmacy Support Technician (Experience Required) - Call Center Rep, Home-Based

Remote · USA Full-time

Experienced Data Entry Specialist for Live Chat Support - Remote Opportunity with Competitive Hourly Rate

Remote · USA Full-time

Experienced Full Stack Data Entry Specialist - Remote Work Opportunity with blithequark

Remote · USA Full-time

Remote Psychiatrist (MD / DO) - Pennsylvania

Remote · USA Full-time