What will you be doing with us?
- Ship high-quality predictive models leveraging Industrial data from sensors and IOT devices
- Develop and implement end-to-end advanced analysis and 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
- Work with cross-functional teams including designers, data engineers and metallurgists to design, develop, and implement production-grade pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation, etc.)
- Some international travel may be required occasionally.
What should you know or have?
- 5+ 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; good SQL knowledge
- Experience with Azure; AWS or GCP is appreciated
- Experience with time series databases and data pipelines is a plus
- Excellent 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, Statistics, Mathematics, Physics) required; Master's or Ph.D. preferred
- Proficiency in English
Why you should join Draslovka
- We utilize our extensive R&D expertise and success to make the future of the metal mining industry and agriculture industry truly environmentally sustainable with our smart chemistry.
- We will support your desire to learn and develop through individual certifications or training of your choice.
- We will support your fresh ideas and tech innovations. Your thoughts will be respected and considered.
- You will have the ability to work both on-site as well as remotely.
- Your responsibility will be compensated with our flexibility. We respect and value work-life balance.
- You will have 5 weeks of holidays, a couple of sick days, and the ability to choose from a wide range of benefits including an annual personal travel allowance, etc.
- Collaboration with diverse international teams with offices in Prague, USA, Mexico, or Australia.
- You will get to know how the global transition to a sustainable future works on a molecular level!
Skills Required
- 5+ 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
- Good Python programming skills; good SQL knowledge
- Bachelor's degree in a quantitative field
What We Do
Draslovka has been reimagining what’s possible with the CN family of chemicals for more than 100 years. We are a Czech family company, driven by an international team working across the world with a conscious ambition to be the best at what they do. Draslovka holds a strong market position in the CN - based specialty chemical industry through the roll-out of newly developed environmentally sustainable products including next-generation fumigants and biocides, supply chain optimization, and advanced application practices implemented based on consumer‘s needs. Reliability, responsibility, and sustainability represent our core values which are consistently applied in all processes. Our goal is to build a comprehensive portfolio of chemical companies, with an interface that ensures synergy of production and services. In its early days, the focus of the company lay in the production of hydrogen cyanide, but an extensive line of industrial products and services has since emerged. Today, Draslovka has three main business divisions: Specialty chemicals, Mining solutions and Agricultural solutions.
