Devire to międzynarodowa firma specjalizująca się w usługach rekrutacji, outsourcingu i employer brandingu.
Od ponad 30 lat reprezentujemy wiodących pracodawców na rynku europejskim, prowadząc kompleksowe projekty poszukiwań menedżerów i wyspecjalizowanej kadry, wdrażając najnowsze rozwiązania z obszaru usług IT oraz wspierając w budowaniu wizerunku pracodawcy z wyboru.

Nasze biura zlokalizowane są w Warszawie, Wrocławiu, Poznaniu, Katowicach oraz Monachium, Frankfurcie, Pradze i Hradec Kralove.

Data Scientist

Lokalizacja: Cracow

Our Client is a leading global information technology, consulting and business process services company and one of the world's most trusted brands. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship. There are over 160 000 dedicated employees serving clients across six continents.

For our Client, we are currently looking for Data Scientists to join the Cracow team, who will support the product, sales, leadership and marketing teams with insights gained from analyzing company data.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

What You Will Do

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Develop company A/B testing framework and test model quality
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy

Who You Are

• Strong problem-solving skills with an emphasis on product development
• Experience working with and creating data architectures
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages / drawbacks
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Excellent written and verbal communication skills for coordinating across teams
• 5-7 years of experience manipulating data sets and building statistical models
• Master’s or Ph.D. in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software / tools:
  • Coding knowledge and experience with several languages: C, C++, Java
  • JavaScript, etc.
• Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
• Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Experience with distributed data / computing tools: Map / Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing / presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Our Client Offers

• Salary based on B2B contract
• Long-term employment
• Working for a leading corporation with a stable market position
• Possibility to work and grow in an international environment