what you’ll do： as a data scientist on our pricing optimization team you will help maintain and refine components of our existing pricing optimization solutions addressing more than $10 billion in annual revenue, develop new approaches for businesses not yet served by solutions, and educate stakeholders on the function of the solutions. • create, evolve and provide insights related to marketing and sales process and that impact the wider business • present findings developed through descriptive, predictive, and prescriptive analytics • understand business needs, objectives and market when implementing analysis strategies • liaise internally within the team and externally with stakeholders in the business to complete analytics, reporting, and implementation of analytics-driven change • assist in development and testing of analytics proofs-of-concept across all functional data sets • research and apply multidisciplinary techniques, findings and approaches to solutions that drive understanding of the business’ markets, customers, and opportunities • review, implement and analyze algorithms that will substantially impact the company’s understanding of its data and its opportunities for improvement • assist in the development of tools and applications to present insights to the stakeholder base • mentor and manage junior team members • work with the analytics director to define key questions and projects to transform the business position requirements: basic qualifications: • bachelors, masters, or phd degree in it, mathematics, sciences or other technical discipline • 2+ years of experience deploying data science techniques in industry • proficiency in using sql and r or python for etl • proficiency in using r or python for modeling • ability to provide insights from multiple raw and refined data sources • ability to understand and extract data from large and complex data sets, including experience with large-scale algorithms • knowledge of data quality measurements, methodology, and reporting tools • knowledge of inferential statistics methods, machine learning and model building techniques, and market leading data analysis tools and platforms preferred qualifications • project management skills and experience with end-to-end project management processes • strong results driven personality, with a high level of enthusiasm, energy and confidence • excellent analytical, communication, organizational and presentation skills • ability to automate etl processes