Senior Data Scientist - IT Buyer/Supplier platform
International Data Corporation
- Praha Ostrava, Moravskoslezský
- Trvalý pracovní poměr
- Plný úvazek
- Dive deep into complex data sets, extracting meaningful insights using statistical analysis and machine learning techniques.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
- The ability to identify opportunities to use AI to transform business and operational processes for creating new sources of revenue.
- Collaborate with cross-functional teams to understand business goals and translate them into actionable data-driven recommendations.
- Create and fine-tune machine learning algorithms to solve intricate business problems.
- Leverage ML and AI models (both custom and pre-built) to build predictive systems that enhance decision-making processes.
- Explore generative AI models to generate synthetic data or create novel solutions.
- Clean, preprocess, and transform data to improve model performance.
- Present findings and insights through compelling data visualizations.
- Work closely with product development teams, data engineers, AI engineers and business leaders to integrate data science solutions into our products and services.
- Stay abreast of the latest advancements in ML, AI, and generative models, contributing to our continuous innovation.
- Bachelor’s degree in computer science, Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10+ years of work experience using analytics to solve product or business problems, applying machine learning algorithms, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 7+ years of work experience with a master’s degree).
- 5+ years of data-science experience managing structured and unstructured data, applying statistical techniques and reporting results.
- Proficiency in programming languages such as Python, NLTK, R, and SQL.
- Strong analytical skills and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Proficiency in Graph databases such as Neo4J
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and generative AI models (e.g., Azure OpenAI, Google Gemini, and Amazon Bedrock).
- Excellent problem-solving abilities, communication, and collaboration skills.
- AWS Machine Learning – Specialty or Azure Data Scientist Associate or other certifications is preferred.
- We offer a unique opportunity to work on international projects, with daily communication in English and a guided introduction to everything you need to work independently.
- 5 weeks of holidays + extra 4 free days at the end of year
- Sick days, Volunteer Days and Unplug Day
- Flexibility to work from home most of the week
- Certain flexibility to schedule your working hours
- Cafeteria system (Flexipasses/pension or life insurance/Multisport card)
- Meal allowance
Nelisa