Data Science Director

SALESmanago is the only no-code, AI driven CDXP (all in One Customer Data Platform & Customer Experience Platform) used by 2000+ midmarket and large Enterprises in 50 countries including Starbucks, Vodafone, Lacoste, New Balance, Victoria’s Secret and many other global brands. Financial Times ranks SALESmanago as the fastest growing marketing automation platform in Europe.
 
SALESmanago is harnessing the full power of first- and zero-party data, combining advanced analytics and AI Hyperpersonalization to deliver highly configurable personalised experiences, across a comprehensive range of natively built and integrated marketing execution channels.
 
The company is based in Kraków, Poland and employs 300 highly experienced consultants, data scientists and engineers. SALESmanago works internationally via an extensive network of over 1000 reselling partners.
 
We are a startup with an excellent product, a unique organizational culture, well-functioning teams and great ambitions to conquer the Polish and international markets.
 
Currently we are looking for candidates for the position of:
Data Science Director
A workplace: Kraków
Your responsibilities
  • Development of AI & Machine Learning algorithms and tools applicable in eCommerce space
  • Building data science team
  • Organize engineering best practices within the team (code review, feedback, testing, etc.)
  • Researching and devising innovative models for data analysis
  • Responsibility of performing complex analyses, including optimization, machine learning, social-science modeling, and statistical analysis, parametric and non-parametric statistical models and techniques
  • Responsibility of the design of algorithms that require different models/methods to be used together
  • Participation in the entire process of creating new and developing existing features
  • Collaborating with Product Team and IT Directors
Our requirements
  • 5+ years of experience as a Data Scientists or similar
  • Master’s degree in statistics, applied mathematics, or Computer Science
  • Experience with SQL, and programming languages (i.e. Python, SAS)
  • Proficiency with data mining, mathematics, and statistical analysis
  • Experience with analyzing large data sets and good knowledge of machine learning algorithms and tools (Pandas, Keras, TensorFlow or similar)
  • Experience with project management and team management
  • Solid understanding of MarTech market, technology, and digital marketing concepts
  • Fluency in English, both spoken and written
  • Creativity and interest in industry innovation
  • Being ready for new challenges every day
What we offer
  • Net Salary: 10 000 - 20 000 PLN
  • The opportunity to make a career in an international company and unique position in your CV, that will strengthen your professional profile forever
  • Work in a dynamic, fast-growing environment, where you will develop and achieve the highest level of effectiveness
  • Possibility of cooperation with the biggest companies on the market
  • A specially prepared training cycle, which will instantly equip you with the knowledge necessary to perform your work effectively
  • Active development of your international experience with customer
  • Work in a young, strong, open-minded team
  • Everyday challenges that will let you learn more and develop new skills.
Please include the following clause in your CV:

„I agree to the processing of personal data provided in this document for realizing the recruitment process by Benhauer Sp. z o. o. pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).”

The above consent to the processing of personal data is voluntary, however it is necessary to consider the application in the recruitment process.
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