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Draslovka

Data Scientist

Remote

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hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
ZA
Work mode
Remote-friendly
First seen by hirly
22 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

We are Draslovka

Draslovka is expanding our Mining Solutions service offering with an industry-breaking SaaS, Machine learning product (AI), and we are looking for passionate professionals who can make this happen. The final product will have a significant impact and will make a mark in the transition to a new energy future for our society.

We are a Czech, family-owned international leader in chemical specialties on a mission to unlock the transformation of many critical industries. We have operations in the Czech Republic, United States, South Africa, Australia, New Zealand, and India, and serve customers around the world.

About the Role:

As a Data Scientist, you will play a pivotal role in advancing our cloud-based system by developing predictive models, and recommendation systems.

What will you be doing with us?

· Ship high-quality predictive models leveraging industrial data from sensors and IOT devices

· Develop and implement ML models to support the application, utilizing cutting-edge algorithms

· Collaborate with customers to identify opportunities for data-driven uplift growth and optimization

· Write fully testable, high-quality code in Python

· Analyze complex datasets to generate insights and identify trends

· Maintain ML pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation, etc.)

What should you know or have?

· 2+ years of experience in data science

· Expertise in statistical analysis, data mining, machine learning, and predictive modeling

· Experience working with large datasets and data visualization tools

· Solid Python programming skills

· Experience with cloud technologies is a plus (e.g. Azure, AWS, GCP)

· Experience with time series databases and data pipelines is a plus

· Good communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders

· Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics, Physics) required; Master's or Ph.D. preferred

· Proficiency in English

Who we are:

Draslovka is a global supplier with a family business approach focused on the future of our planet.

We are an international team driven by a shared goal and guided by our core values:

We put safety first

We always do the right thing

We build strong relationships

We act like business owners

We constantly reimagine what’s possible

Original posting on Draslovka's site ↗

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