Data Scientist – Remote ML for Production Insights

Forward Progress Staffing; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Forward Progress Staffing is seeking a Data Scientist for a remote, full-time role focused on real-world, high-volume datasets and production-ready models. The ideal candidate will combine strong technical skills with the ability to translate analytics into actionable business insights and communicate effectively with engineering and business stakeholders.

You will collaborate with a growing technology team, own modeling from validation to deployment, and help shape data-informed strategic

Qualifications

• Requires strong Python and SQL skills.
• Background in statistical modeling or ML.
• Experience with large/complex datasets.
• Proven ability to validate experiments and evaluate models.
• Expertise in feature engineering and predictive modeling.
• Ability to translate analytics into actionable insights for business teams.
• Experience taking models from experimentation to production.
• Strong communication with engineering and business stakeholders.

Responsibilities

• Work with real-world, high-volume datasets to build production-ready models.
• Identify patterns and model behavior across diverse data sources.
• Turn complex information into useful market insights.
• Translate analysis into actionable business insights for stakeholders.
• Collaborate with engineering to deploy models and monitor performance.

Skills

Python

SQL

Statistical modeling

Machine learning

Large datasets

Data validation

Experimentation

Model evaluation

Feature engineering

Predictive modeling

Insights translation

Model deployment

Stakeholder communication

Job description

Forward Progress Staffing is seeking a Data Scientist for a remote, full-time role focused on real-world, high-volume datasets and production-ready models. The ideal candidate will combine strong technical skills with the ability to translate analytics into actionable business insights and communicate effectively with engineering and business stakeholders.

You will collaborate with a growing technology team, own modeling from validation to deployment, and help shape data-informed strategic