Hybrid ML Data Scientist: Predictive Modeling & Insights

Placements24; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Health and wellness benefits

Professional development support and培训

Job summary

Placements24 in the United States invites a Data Scientist with a strong ML focus to join a growing R&D division in George. This hybrid role blends remote flexibility with in-office collaboration, enabling you to develop predictive models, extract insights from complex datasets, and guide data-driven decisions.

You will work with engineering and product teams to deploy ML solutions, run experiments, and present findings to stakeholders.

Qualifications

• Master's or Ph.D. in Data Science, CS, Statistics, or related field.
• 3+ years of experience in developing and implementing machine learning models.
• Proficiency in Python or R and libraries such as Scikit-learn, TensorFlow, PyTorch.
• Strong statistical, data mining, and visualization skills.
• Experience with SQL and large datasets, plus good communication.

Responsibilities

• Develop, train, and deploy ML models to solve business problems.
• Perform data mining and analysis to identify trends in large datasets.
• Collaborate with engineering and product teams to integrate ML solutions.
• Design and run A/B tests and experiments to validate models.
• Communicate findings to technical and non-technical stakeholders.
• Stay current with ML advances and data science best practices.

Skills

Machine Learning

Data Analysis

Statistical Modeling

Data Visualization

Python

R

Problem-Solving

Communication

Education

Master's or PhD in Data Science / CS / Statistics

Tools

Scikit-learn

TensorFlow

PyTorch

SQL

Job description

Placements24 in the United States invites a Data Scientist with a strong ML focus to join a growing R&D division in George. This hybrid role blends remote flexibility with in-office collaboration, enabling you to develop predictive models, extract insights from complex datasets, and guide data-driven decisions.

You will work with engineering and product teams to deploy ML solutions, run experiments, and present findings to stakeholders.