Remote ML Data Engineer for Business Insights

IBM; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

IBM Consulting is seeking a Data Engineer with ML expertise to apply ML concepts to address business challenges and drive informed decision-making. You will design and evaluate models, interpret data, and communicate insights to stakeholders.

The role can be performed remotely from anywhere in the United States, enabling collaboration with cross-functional teams and clients. Required education: Bachelor's Degree; deep ML expertise, data analysis, and strong communication.

Qualifications

• Deep expertise in applying ML concepts to business challenges with feature engineering and model optimization.
• Skilled in interpreting complex data and communicating insights to stakeholders.
• Experience evaluating ML algorithms using relevant metrics and optimizing performance.
• Able to clearly articulate ML results and drive data-driven decisions.
• Collaborates with stakeholders to integrate ML insights into business strategy.

Responsibilities

• Develop Machine Learning Solutions: Design and implement ML models addressing business problems.
• Evaluate Algorithm Performance: Use metrics to assess and improve model effectiveness.
• Interpret Statistical Data: Analyze complex data to inform decisions and communicate findings.
• Communicate Results: Present insights and recommendations to stakeholders.
• Drive Informed Decision-Making: Collaborate to embed ML insights into strategic choices.

Skills

ML proficiency

Statistical analysis

Model optimization

Effective communication

Strategic decision-making

Education

Bachelor's Degree

Tools

TensorFlow

PyTorch

Scikit-Learn

Tableau / Power BI

Job description

IBM Consulting is seeking a Data Engineer with ML expertise to apply ML concepts to address business challenges and drive informed decision-making. You will design and evaluate models, interpret data, and communicate insights to stakeholders.

The role can be performed remotely from anywhere in the United States, enabling collaboration with cross-functional teams and clients. Required education: Bachelor's Degree; deep ML expertise, data analysis, and strong communication.