Data Scientist

Job not on LinkedIn

🔥 9 minutes ago

🇿🇦 South Africa – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Draslovka

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1923

🍽️ Food & Beverage

💼 Consulting

🏭 Manufacturing

💰 Private Equity Round on 2022-02

Food & Beverage • Consulting • Manufacturing

Draslovka is a family-owned Czech company with over 100 years of history, specializing in sustainability-led technologies and chemical solutions. It focuses on three core areas: agricultural solutions, mining process solutions, and specialty chemicals, aiming to transform critical industries while prioritizing sustainable practices. The company is known for its innovative fumigation and agricultural products as well as its expertise in CN-group chemistry and glycine leaching technology (GLT). Draslovka's global operations are driven by an international team committed to safety and leading customer service, establishing the company as a leader in reimagining chemical applications for sustainable growth.

📋 Description

• 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, including data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation

🎯 Requirements

• 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