Data Scientist - AI Model Development

Placements24; United States; Hybrid; USD 36,000 - 73,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Professional development

Hybrid work model

Retirement savings plan

Job summary

Placements24 is seeking a talented Data Scientist to join our growing team in Queenstown, Eastern Cape. You will build and deploy AI models, work with large datasets, and collaborate with cross-functional teams to drive data-informed decisions.

The role emphasizes statistical rigor, advanced modeling, and practical solutions. You will contribute to data infrastructure, explore new techniques, and communicate insights through reports and presentations.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field.
• Proven experience as a Data Scientist or in a similar role involving AI model development.
• Strong proficiency in Python or R and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
• Solid understanding of statistical modeling, ML algorithms, and evaluation metrics.
• Experience with data visualization tools and SQL/database management.
• Excellent analytical and problem-solving skills and strong communication and collaboration abilities.

Responsibilities

• Develop, train, and deploy ML models for predictive analytics, classification, and clustering.
• Carry out Exploratory Data Analysis (EDA) to identify trends and anomalies.
• Clean, preprocess, and transform data for modeling.
• Evaluate model performance, tune hyperparameters, optimize algorithms.
• Collaborate with stakeholders to translate requirements into DS solutions.
• Communicate findings clearly through reports and presentations.
• Stay current with AI/ML advancements and contribute to data infrastructure and best practices.

Skills

Analytical thinking

Communication

Collaboration

Problem solving

Education

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

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a talented Data Scientist to join their growing team in Queenstown, Eastern Cape . This role focuses on the development and application of advanced AI models to solve complex business problems and drive data-informed decision-making. You will work with large datasets, employ sophisticated statistical and machine learning techniques, and collaborate with cross-functional teams to deliver actionable insights and build predictive solutions. The ideal candidate possesses strong analytical skills, a deep understanding of various modeling approaches, and a passion for uncovering patterns and creating value from data. You will contribute to a culture of innovation and continuous learning, working on projects that have a tangible impact on the business. This is a fantastic opportunity to grow your career in AI and data science within a supportive environment in Queenstown .

Key Responsibilities

• Develop, train, and deploy machine learning models for various applications, including predictive analytics, classification, and clustering.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in complex datasets.
• Clean, preprocess, and transform data to prepare it for modeling.
• Evaluate model performance, tune hyperparameters, and optimize algorithms for accuracy and efficiency.
• Collaborate with business stakeholders to understand requirements and translate them into data science solutions.
• Communicate findings and recommendations clearly through reports and presentations.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Contribute to the development of data infrastructure and best practices.

Requirements

• Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist or in a similar role involving AI model development.
• Strong proficiency in Python or R, and experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical modeling, machine learning algorithms, and evaluation metrics.
• Experience with data visualization tools and techniques.
• Familiarity with SQL and database management.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
• Experience with big data technologies or cloud platforms is a plus.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and learning.
• Work on challenging and impactful AI projects.
• Collaborative team environment.
• Hybrid work model offering work-life balance.
• Retirement savings plan.