Remote Data Scientist - AI/ML Modeling & BI Lead

FocusKPI Inc.; United States; Remote; USD 144,000 - 194,000; Full time

Job summary

FocusKPI Inc. seeks a Data Scientist to design and implement advanced ML models and analytics solutions. The role supports ML platforms and dashboards, partnering with interdisciplinary teams to drive data-driven decisions from Milpitas, CA, or fully remote within the United States.

You will build predictive and attribution models, manage data pipelines, and communicate results to senior leadership, adapting methods to evolving business needs in an agile setting.

Qualifications

• Master's degree in a quantitative field such as Data Science, CS, ML, Robotics & Autonomous Systems, or Applied Mathematics.
• Strong modeling and AI/ML development experience.
• Experience building data pipelines and working with big data.
• Ability to communicate modeling results clearly to business stakeholders.

Responsibilities

• Build and deploy AI/ML models and frameworks to solve business problems.
• Develop data pipelines and datasets for model development and feedback loops.
• Create BI dashboards to track KPIs for leaders and stakeholders.
• Collaborate with cross-functional teams in an agile environment.
• Document modeling approaches and present findings to internal departments.
• Explain complex modeling methods to technical and non-technical audiences.

Skills

Machine learning

Python

SQL

Big data

Data storytelling

Education

Master's degree in Data Science, Computer Science, ML, Robotics & Autonomous Systems, Applied Mathematics, or related quantitative field

Tools

Python

SQL

BigQuery

PyTorch

Tableau

C++

Job description

FocusKPI Inc. seeks a Data Scientist to design and implement advanced ML models and analytics solutions. The role supports ML platforms and dashboards, partnering with interdisciplinary teams to drive data-driven decisions from Milpitas, CA, or fully remote within the United States.

You will build predictive and attribution models, manage data pipelines, and communicate results to senior leadership, adapting methods to evolving business needs in an agile setting.