Remote Graduate Data Scientist

Placements24; Riverton (UT); Remote; USD 60,000 - 90,000; Full time

Benefits offered by this job

Flexible remote work

Professional development

Learning resources

Challenging projects

Collaborative team

Advanced tools access

Job summary

Placements24 is seeking a highly motivated Graduate Data Scientist to join a remote-first team, tackling data-driven challenges and building impactful models. You will apply statistics, ML, and data engineering methods to real datasets and collaborate with dispersed colleagues across functions.

The role emphasizes learning, mentorship, and exposure to cutting-edge analytics tools, with responsibilities spanning model development, experiments, and data visualization to drive business insights.

Qualifications

• Advanced degree in data science, statistics, math, CS or related field.

Responsibilities

• Collect, clean, and transform large datasets.

Skills

Python

R

SQL

Statistical Modeling

Machine Learning

Data Visualization

Education

Master's or PhD

Tools

Spark

Job description

About the Role

Our client is seeking an exceptional and intellectually curious Graduate Data Scientist to join their pioneering, fully remote team, supporting initiatives relevant to **Upington, Northern Cape**. This is a unique opportunity for recent graduates with a strong background in data science, statistics, mathematics, computer science, or a related quantitative field to apply advanced analytical techniques to complex datasets. As a remote-first data scientist, you will be instrumental in developing predictive models, machine learning algorithms, and data-driven insights that propel our business forward. You will work with cutting-edge technologies and collaborate with a talented, dispersed team of professionals. Our client is committed to fostering talent and providing significant opportunities for learning and professional growth in a dynamic, remote work environment. If you are passionate about uncovering patterns in data and building intelligent systems, we encourage you to apply and contribute to our data-driven future from anywhere.

Key Responsibilities

• Collect, clean, and transform large, complex datasets from various sources.
• Develop and implement statistical models and machine learning algorithms to solve business problems.
• Design and conduct experiments to test hypotheses and validate models.
• Analyze and interpret data to extract actionable insights and communicate findings effectively.
• Build data visualizations and dashboards to present complex information clearly.
• Collaborate with engineering and product teams to deploy models into production environments.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Contribute to the development of data infrastructure and tools.
• Document methodologies, findings, and code.

Requirements

• Master's or Ph.D. degree in Data Science, Statistics, Mathematics, Computer Science, Physics, or a related quantitative field.
• Strong foundation in statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Experience with SQL for data querying and manipulation.
• Familiarity with big data technologies (e.g., Spark) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, capable of explaining complex technical concepts to diverse audiences.
• Ability to work independently, manage projects, and thrive in a remote team environment.
• A passion for data-driven discovery and innovation.

Benefits

• Highly competitive graduate salary for a remote role.
• Opportunities for cutting-edge research and development.
• Comprehensive professional development and continuous learning support.
• Flexible remote work arrangements, allowing you to work from anywhere.
• Work on challenging and impactful projects with real-world applications.
• Collaborative and intellectually stimulating remote team environment.
• Access to advanced analytical tools and platforms.