Remote Senior Data Scientist

Placements24; Gqeberha; Hybrid; ZAR 1,976,000 - 2,964,000; Full time

Benefits offered by this job

Premium health coverage

Flexible remote work

Professional development stipend

Job summary

Placements24 invites applications for a Senior Data Scientist to join a remote-first team. You will develop and deploy advanced statistical models and ML algorithms on large datasets, driving business decisions and product development.

The role requires a PhD or Master’s in a quantitative field, 5+ years of experience, and strong Python or R skills with libraries like scikit-learn, TensorFlow/PyTorch, Pandas, and NumPy. Remote collaboration across locations is expected.

Qualifications

• PhD or Master’s in a quantitative field is required.
• 5+ years as a Data Scientist with hands-on project delivery.
• Proficiency in Python or R and relevant ML libraries.

Responsibilities

• Develop and deploy statistical models and ML algorithms on large datasets.
• Identify trends and insights to inform business strategy and product development.
• Design experiments to test hypotheses and quantify impact of initiatives.
• Collaborate with data engineers to ensure data quality and efficient processing.
• Communicate findings to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the data science practice.

Skills

Statistical modeling

Machine learning

Experiment design

Data storytelling

Communication

Independent & collaborative work

Education

PhD or Master’s in Statistics, CS, Math, Physics, Economics or related quantitative field

Tools

Python

R

scikit-learn

TensorFlow/PyTorch

Pandas/NumPy

Job description

About the Role

Our client, a globally recognized leader in telecommunications innovation, is seeking an exceptional Senior Data Scientist to join their expanding, remote-first team. This role is pivotal in leveraging vast datasets to uncover insights, drive business decisions, and develop predictive models that enhance customer experience and operational efficiency. As a Senior Data Scientist, you will work on challenging and impactful projects, employing advanced statistical techniques and machine learning algorithms. You will collaborate with cross-functional teams across different geographical locations, contributing your expertise to shape data-driven strategies. This is a fully remote position, offering flexibility and the opportunity to work from anywhere while being an integral part of a forward-thinking organization.

Key Responsibilities

• Develop and implement sophisticated statistical models and machine learning algorithms to analyze large, complex datasets.
• Identify trends, patterns, and insights within data to inform business strategy and product development.
• Design and conduct experiments to test hypotheses and evaluate the effectiveness of new initiatives.
• Build and deploy predictive models for areas such as customer churn, network performance, and market forecasting.
• Collaborate with data engineers to ensure data quality, accessibility, and efficient processing.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the growth of the data science practice within the company.
• Develop data visualization tools and dashboards to present key findings effectively.
• Contribute to the development of data-driven products and services.

Requirements

• Ph.D. or Master's degree in Statistics, Computer Science, Mathematics, Physics, Economics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong track record of delivering data-driven solutions.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Deep understanding of statistical modeling, machine learning algorithms (regression, classification, clustering, deep learning), and experimental design.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data science services.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts effectively.
• Proven ability to work independently and collaboratively in a remote team environment.

Benefits

• This fully remote role offers a highly competitive salary and a comprehensive benefits package, including premium health coverage, generous paid time off, a retirement savings plan, and a professional development stipend.
• Employees benefit from the flexibility of working from home and access to cutting-edge tools and technologies.
• Our client fosters a collaborative and inclusive culture, even in a remote setting, providing ample opportunities for growth and impact within the telecommunications sector.