Data Scientist



Experis Finance

data-mining bigdata

Number of employees: 250+


Added 8/3/2016 12:19:37 PM

Position info

Seniority: Middle

Monthly gross salary range: 10000 - 14500 PLN

Team description:

The Data Scientist will strongly influence the business data decisions by developing and helping to institutionalize a data-driven analysis culture. The primary role will be to identify high-impact business problems and develop viable solutions through data analysis, predictive and optimization modelling, and advanced analytics techniques in the area of Marketing, Merchandising and Pricing.

Position description:


  • Leverage extensive datasets and various statistical software applications to develop and execute strategic quantitative analysis
  • Investigate and report on complex data interactions to help identify and address company key strategic business opportunities
  • Enhance performance by applying advanced mathematical modelling, simulation, data analytics and optimization techniques
  • Identify data gaps and new data sources to improve model predictability
  • Handle data preparation, data feeds and updates of various projects
  • Prepare written analysis and present findings, recommendations and potential raise decision questions to internal and external groups
  • Identify opportunities to integrate business needs and current business processes into automated processes and models
  • Create new pricing applications, by using state of the art econometric models
  • Develop and test/prototype new algorithms for Pricing Engine and other pricing tools
  • Responsible for the pricing data work space (data & tools). Maintenance and continuous improvement


  • Data scientist experience in Retail, Online, FMCG
  • Experience in statistical computer packages, such as "R" and SAS and developing solutions in MS SQL Server
  • Experience in relation database programming (SQL, Oracle, SAS, OLAP) and software programming
  • Preferably experience in developing dashboards in self-service analytical tools such as Spotfire and Qlickview
  • Advanced analytical & numeracy skills
  • Experience in a strong analytical / project management environment
  • Strong organiser, accurate, able to prioritize effectively
  • Strong problem solving skills with a relentless drive for success and innovation
  • Fluent English


Must have:

  • SAS
  • R

Languages: English


  • Private health care
  • Mobile phone
  • Free bicycle parking
  • Gym subscription
Apply Now!