Data Scientist


  • Undertake preprocessing of structured and unstructured data
  • Interpret data from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
  • Develop statistical models and machine-learning algorithms, and tune existing models when needed
  • Engage with key engineering and product stakeholders on important projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions
  • Look for opportunities to improve current processes or find efficiencies by applying industry best practices as a data science professional
  • Propose solutions and strategies to business challenges
  • Prioritize requirements and create rapid prototypes and minimally viable products for end-usersIdentify valuable data sources and analyze large amounts of information to discover trends and patterns
  • Identify valuable data sources and analyze large amounts of information to discover trends and patterns
  • Build dashboards and self-service tools to enable ongoing monitoring of trends
  • Provide end-user education for interpretation of business data as well as reports about model performance
  • Document and communicate technical specifications with key stakeholders to ensure proper techniques and standards are incorporated into deliverables and understood by the end-users


  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Strong attention to detail
  • Proactivity and problem-solving aptitude
  • A drive to learn and master new technologies and techniques
  • Excellent communication and presentational skills
  • Experience using business intelligence tools and data frameworks
  • Experience working with and creating data architectures
  • Experience visualizing data and/or building dashboards
  • Understanding of machine-learning algorithms
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
  • Experience with NoSQL databases, such as MongoDB is a plus
  • Ability to work in a fast-pace, high-change environment
  • Previous experience in building and training machine learning algorithms is a plus

What we offer

  • A highly positive environment
  • Working in a fast-paced industry
  • Cutting edge technologies and architectures
  • Creating industry innovations and solving challenging problems
  • A unique opportunity to join an exciting start up, established as a leader in the mobile advertising space
  • Smooth onboarding and active support from all team members (onboarding ends but the support remains forever 😊)
  • Fun in the Smartie Pants team

If you’re interests, please send your CV to