Data Scientist
Description
Industry: pharma
Location: fully remote
Rate: we’re open to your suggestions
Long-term cooperation
Responsibilities:
Collaborate with business owners to understand analytical needs and translate them into data science solutions.
Participate in the discovery and scoping phase of the initiative.
Define KPIs, performance measurement frameworks, and analytical methodologies.
Conduct exploratory data analysis and identify key business drivers.
Develop statistical, predictive, and machine learning models.
Create recommendations and insights supporting brand investment and resource allocation decisions.
Present findings and recommendations to business stakeholders.
Support implementation and operationalization of agreed analytical solutions.
Work closely with data engineers and AI engineers throughout the project lifecycle.
Key requirements:
4+ years of experience as a Data Scientist.
Strong knowledge of statistics, machine learning, and predictive analytics.
Advanced Python skills.
Experience with data visualization and storytelling.
Ability to convert complex analytical findings into business recommendations.
Experience working directly with business stakeholders.
Strong problem-solving and communication skills.
Fluent English.
Nice to have:
Experience in marketing analytics, commercial analytics, or brand performance measurement.
Knowledge of optimization models and resource allocation methodologies.
Experience with Azure, Databricks, Spark, or large-scale data environments.
Familiarity with causal inference, forecasting, and advanced statistical modeling.