Data Scientist - Machine Learning

Placements24; East End (United States Virgin Islands); Hybrid; USD 34,000 - 56,000; Full time

Benefits offered by this job

Hybrid work arrangement

Professional development support

Health insurance

Retirement planning

Job summary

Placements24 client in Welkom seeks a Data Scientist specializing in Machine Learning to drive business insights, build predictive models, and deploy intelligent systems across departments.

You'll work with large datasets, apply advanced statistics and ML techniques, and collaborate to implement data-driven solutions. The role offers a hybrid work model with office collaboration in Welkom and opportunities to work on impactful projects.

Qualifications

• Master's or Ph.D. in CS, Statistics, Mathematics, or related quantitative field.
• 3+ years as Data Scientist or similar ML-focused role.
• Proficiency in Python or R with ML libraries.
• Strong statistical modeling and ML algorithm knowledge.
• Experience with data visualization tools.
• Excellent analytical and communication skills.

Responsibilities

• Develop, train, and deploy ML models for business applications.
• Perform data exploration, cleaning, feature engineering, and analysis on large datasets.
• Collaborate with stakeholders to translate business needs into ML problems and solutions.
• Communicate findings to technical and non-technical audiences.
• Stay current with ML/AI advancements and methodologies.
• Design and implement A/B tests to evaluate model impact.

Skills

Python/R

Scikit-learn

TensorFlow

PyTorch

Pandas

Statistical modeling

Data mining

Data visualization

Communication skills

Problem solving

Education

Master's or Ph.D. in CS/Statistics/Math

Job description

About the Role

Our client in Welkom is seeking a talented Data Scientist specializing in Machine Learning to join their analytics division. You will be at the forefront of leveraging data to drive business insights, develop predictive models, and build intelligent systems. This role involves working with large datasets, applying advanced statistical and machine learning techniques, and collaborating with various departments to implement data-driven solutions. The position offers a hybrid work model, providing flexibility while ensuring essential team collaboration in our Welkom office. If you possess a strong analytical mindset and a passion for uncovering patterns and building predictive capabilities,

Key Responsibilities

• Develop, train, and deploy machine learning models for various business applications, including predictive analytics, recommendation systems, and anomaly detection.
• Perform data exploration, cleaning, feature engineering, and statistical analysis on large, complex datasets.
• Collaborate with stakeholders to understand business needs and translate them into data science problems and solutions.
• Communicate complex findings and model results clearly and concisely to both technical and non-technical audiences.
• Stay current with the latest advancements in machine learning, artificial intelligence, and data science methodologies.
• Design and implement A/B tests and other experiments to evaluate the impact of models and strategies.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of experience as a Data Scientist or in a similar role focused on machine learning.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools and techniques.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• An attractive annual salary package.
• Comprehensive health insurance and retirement planning benefits.
• Support for ongoing learning and professional development.
• Hybrid work arrangement offering a blend of remote and office-based work in Welkom.
• Opportunity to work on impactful projects using cutting-edge data science technologies.