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The Data Scientist will develop and implement predictive models and recommendation systems using industrial sensor and IoT data. They will also collaborate with customers to identify growth opportunities and maintain ML pipelines.
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:
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