Senior Data Science Engineer

• Work with key stakeholders in Product, Sales, Marketing, Engineering, and executive team
• Work with cross-functional teams including Sales, Marketing, and Product to understand business requirements and build analytical solutions
• Make recommendations for new metrics, techniques, and strategies to improve methods to prioritize accounts for manual and automated Sales outreach
• Design & develop machine learning-driven algorithms that establish customer personas and deliver tailored suggestions
• Collaborate with BI/Data Operations teams and drive the collection of new data and the refinement of existing data sources to improve data quality
• Foster culture of continuous engineering improvement through resource mentoring, feedback, and metrics
  
  

• 5+ years of commercial experience in Data Science related field
• Masters in Computer Science, Mathematics, Statistics, or equivalent
• Experience with Python, R, Scala, C, C++ (solid knowledge, especially Python)
• SQL, Excel (proficient)
• Data Visualization tools: Power BI, Tableau, or similar (solid experience)
• GPU programming, experimental design
• Ability to manage and quantify the improvement in customer experience (or value for the business resulting from research outcomes)
• A strong self-starter (operationally focused, a problem-solver)
• Experience with NLP (good grasp of knowledge)
• English B2/C1

• B2B Contract or Contract of Employment
• Currently 100% remote, hybrid work after the pandemic
• Competitive salary adequate to experience and skills
• Private medical care
• Life insurance
• Trening & Learning opportunities
• Team-building events
• Fruit in the office