Data Scientist

emagine Polska; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

emagine Polska is seeking a Data Scientist to partner with business owners, design KPIs, and build predictive models. The ideal candidate will translate complex analytics into actionable business guidance and present insights to stakeholders.

The role emphasizes collaboration with data and AI engineers, experience with Azure/Databricks/Spark, and strong communication in English. Remote, long-term cooperation, open to flexible arrangements.

Qualifications

• 4+ years of experience as a Data Scientist.
• Strong stats, ML, and predictive analytics expertise.
• Advanced Python skills.
• Experience with data visualization and storytelling.
• Translate analytics into actionable business recommendations.
• Experience collaborating with business stakeholders.
• Strong problem-solving and communication skills.
• Fluent English.
• Nice-to-have: marketing/brand analytics experience.
• Knowledge of optimization models and resource allocation.
• Experience with Azure, Databricks, Spark, or large-scale data.
• Familiarity with causal inference and forecasting.

Responsibilities

• Collaborate with business owners to translate analytical needs 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.

Skills

Data science experience

Statistics & ML

Python proficiency

Data visualization

Business impact communication

Stakeholder collaboration

Problem solving

Fluent English

Marketing analytics (nice-to-have)

Tools

Azure

Databricks

Spark

Large-scale data environments

Job description

Industry: pharmaLocation: fully remoteRate: we’re open to your suggestionsLong-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.