Data Scientist - Machine Learning

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

About the Role

Our client seeks a skilled Data Scientist with a strong focus on Machine Learning to join their expanding research and development division in George. This hybrid role offers a blend of remote flexibility and in-office collaboration, enabling you to contribute to innovative projects. You will be instrumental in developing predictive models, extracting valuable insights from complex datasets, and driving data-informed decision-making across the organization. This is a unique chance to apply advanced analytical techniques in a supportive environment that encourages both independent work and team synergy, shaping the future of our client's technological advancements.

Key Responsibilities

• Develop, train, and deploy machine learning models to solve complex business problems.
• Perform data mining and analysis to identify trends, patterns, and insights within large datasets.
• Collaborate with engineering and product teams to integrate ML solutions into existing platforms.
• Design and conduct A/B tests and other experiments to validate model performance.
• Communicate complex findings and recommendations to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in machine learning and data science.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
• Proven experience (3+ years) in developing and implementing machine learning models.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, data mining techniques, and data visualization.
• Experience with SQL and working with large datasets.
• Excellent problem-solving and communication skills.

Benefits

• Competitive salary and performance-based incentives.
• Hybrid work model providing flexibility and collaboration opportunities.
• Comprehensive health and wellness benefits package.
• Professional development support and access to training resources.
• A stimulating work environment focused on innovation and scientific discovery.