Offer summary

Qualifications:

PhD or master's degree in Computer Science, Statistics, or Data Science., 4-5 years of experience in data science and building ML models., Strong proficiency in Python and SQL, with experience in data processing and large datasets., Bilingual proficiency in Chinese and English is highly preferred..

Key responsibilities:

Use machine learning and AI techniques to solve complex problems and drive business decisions.

Build and maintain data pipelines for model development and data needs.

Collaborate with cross-functional teams to implement and validate predictive models.

Create business intelligence dashboards to track key performance indicators.

Job description

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.

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