Data Scientist

• 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.