Remote Data Scientist

Placements24; Sandton; Hybrid; ZAR 750,000 - 1,100,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

PD allowances

Fully remote

Global team

Job summary

Placements24 is seeking a seasoned Data Scientist for a fully remote role. You will tackle complex datasets, build predictive models, and translate technical findings into actionable business strategies within a distributed team.

The ideal candidate has 5+ years of experience, strong communication skills, and proficiency in Python or R, along with ML libraries and SQL experience.

Qualifications

• Master's or PhD in a quantitative field (Statistics/CS/Maths/Economics).
• 5+ years of experience as Data Scientist or analytical role.
• Proficiency in Python or R.

Responsibilities

• Collect, clean, and transform large datasets from diverse sources.
• Develop and implement statistical models and ML algorithms.
• Perform exploratory data analysis to identify trends and insights.

Skills

Python

R

SQL

Statistics

Communication

Education

Master's or PhD

Tools

scikit-learn

TensorFlow

PyTorch

Tableau

Matplotlib

Job description

About the Role

Our client, a cutting-edge analytics firm, is looking for a talented and experienced Remote Data Scientist to join their fully remote team. This is an exceptional opportunity for an individual passionate about uncovering insights from complex datasets and developing data-driven solutions. You will work on challenging projects that involve advanced statistical modeling, machine learning, and predictive analytics to solve critical business problems for our client. The ideal candidate is a strong communicator, adept at translating technical findings into actionable business strategies, and comfortable working independently within a distributed team environment. If you thrive on data and innovation, and are seeking a flexible, remote-first role, this position is for you.

Key Responsibilities

• Collect, clean, and transform large, complex datasets from various sources.
• Develop and implement statistical models and machine learning algorithms to solve business challenges.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Build predictive models and forecasting tools to support strategic decision-making.
• Design and conduct A/B tests and other experiments to evaluate hypotheses.
• Visualize data and communicate findings effectively to both technical and non-technical stakeholders.
• Collaborate with engineering and product teams to deploy models into production environments.
• Stay abreast of the latest research and techniques in data science and machine learning.
• Ensure data integrity and ethical data handling practices.
• Contribute to the development of the company's data strategy and capabilities.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist or in a similar analytical role.
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in SQL and experience with data warehousing solutions.
• Solid understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Proven ability to work independently and manage projects effectively in a remote setting.

Benefits

Our client offers a highly competitive salary of R per annum , alongside a comprehensive benefits package including health insurance, a retirement savings plan, and substantial professional development allowances.

• health insurance
• retirement savings plan
• substantial professional development allowances
• fully remote, offering unparalleled flexibility
• You'll have the opportunity to work with a global team on impactful projects, contributing your expertise to a leading analytics firm, even though the role is based conceptually around Sandton, Gauteng (but is remote).