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Data Scientist

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

South Africa

Offer summary

Qualifications:

5+ years of professional experience in data science., Proficiency in Python or R programming., Expertise in machine learning frameworks., Strong statistical analysis skills..

Key responsabilities:

Analyze large datasets for insights.
Develop and deploy machine learning models.
Collaborate with teams for data-driven improvements.
Create visualizations and reports for stakeholders.

Advancio SME https://www.advancio.com/

51 - 200 Employees

See all jobs

Job description

This is a remote position.

Who We Are:

At Advancio, we are passionate about technology and its ability to transform the world. We are rapidly expanding and building a company where we serve exceptional businesses, hire top talent, and have a lot of fun doing what we love!

Job Summary:

We are seeking an experienced Data Scientist to extract actionable insights from complex datasets and develop advanced models to drive business growth. The ideal candidate has a deep understanding of machine learning, statistical analysis, and data visualization, with the ability to translate findings into impactful solutions.

Requirements

Analyze large and diverse datasets to uncover patterns, trends, and actionable insights.
Develop, train, and deploy machine learning models to solve complex business problems.
Collaborate with cross-functional teams to identify opportunities for data-driven improvements.
Build and maintain predictive models, recommendation systems, or optimization algorithms.
Design and implement data preprocessing pipelines, ensuring data quality and accessibility.
Create compelling visualizations and reports to communicate findings effectively to stakeholders.
Stay updated with the latest advancements in data science, machine learning, and AI technologies.

Qualifications:

5+ years of professional experience in data science or related fields.
Advanced English communication skills, both verbal and written.
Proficiency in programming languages such as Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy).
Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong statistical analysis skills and knowledge of algorithms and data structures.
Experience with SQL and working with relational databases.
Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
Ability to create data visualizations using tools like Tableau, Power BI, or Matplotlib.