Commercial Data Scientist / Эксперт по наукоемким методам анализа данных в сфере маркетинга и продаж

компания "bayer" qualifications and competencies: the primary responsibility of this role is to provide commercial teams measurable insights into commercial strategies and tactics for key products in key markets. these insights will provide a competitive advantage to bayer by making better business decisions derived through strategic data analysis and command of complex statistical techniques is responsible for key aspects along the data modelling cycle: from definition of business questions and hypotheses, to data sourcing and preparation, model development, and insight generation. output of these analyses will be the basis for strategic resource allocation by bu and marketing leadership. develop and optimize machine learning models in different contexts (sales, marketing, patient data, communication and social data) translate complex analytics into actionable recommendations and propose feasible solutions. communicate in a clear and concise way using the most appropriate approach for each different stakeholder work with business and scientific stakeholders with a clear vision of the final goals and on the business impact collaborate closely with other functions (e.g. commercial business insights, integrated multi-channel marketing) to advice, and support brand marketing or sales teams in various types of advanced quantitative analyses, including but not limited to: marketing mix analysis, advanced segmentation & targeting, personalized communication, etc. manage onshore and offshore resources, as well as in house and external consultants. demonstrating thought leadership and content expertise in advanced analytics to business partners, including development of key training programs. important for us: graduate degree in quantitative field (statistics, management science, operations research, engineering, finance, applied mathematics, mathematics, business administration etc.) 3+ years of experience strong analytical skills, team playing, and communication skills experience in data modeling, wrangling and visualization knowledge of sql and data warehousing platforms very good knowledge of the most important machine learning models (classification, regression, clustering, time-series analysis) knowledge of deep learning models (cnn, rnn) knowledge of at least two of the following languages: python, r, c/c++, scala, julia, mathematica knowledge of the most common ml/dl frameworks (scikit-learn, stan, pandas, tensorflow, pytorch, keras, matplotlib) experience in epidemiology is a plus experience in pharma industry is a plus experience with data management platforms is a plus passionate team player experience in handling and analyzing various internal and external commercial data types (e.g., sales data sources like iqvia, claims data, distribution, demand, units, promotion) ability to influence cross-functional teams to impact decision-making; willingness to “have an opinion” backed up by insight and analytics and the confidence to influence key stakeholders in meetings and one to one basis. strategic business acumen, focus on results, passion for keeping up with media and technology trends. strong communication and presentation skills. proven track record of professional success in analytics role we offer: career in the sustainable international company; monthly salary and annual bonus; meal allowance, corporate mobile coverage; health and life insurance; 35 days paid vacation; corporate learning and development program; corporate reward and recognition program.