Staff Data Scientist

Jobtailor; Deutschland; Vor Ort; EUR 110.000 - 160.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an accomplished data science leader to drive high-impact cross-functional initiatives from problem framing to deployment, aligning with enterprise priorities and measurable outcomes.

You will design advanced models and experimentation frameworks, embed data science into operations, and mentor peers while communicating complex results with clarity to stakeholders. Strong technical and strategic skills in Python, SQL, forecasting, and modern data platforms are essential.

Qualifikationen

• Minimum of 8 years of experience in data science or related quantitative field, including ownership of large-scale or cross-functional initiatives.
• Bachelor’s degree required; master’s degree preferred; PhD is a plus.
• Strong strategic thinking, executive communication, cross-functional collaboration, stakeholder influence, and the ability to solve complex problems in ambiguous environments.
• Deep technical expertise in Python, SQL, experimentation, causal inference, forecasting, optimization, KPI and measurement framework design, decision-support analytics, and modern data platforms such as Snowflake, AWS, and Microsoft Azure.
• Preferred certification in statistics, experimentation, forecasting, optimization, causal inference, or a related analytical discipline.

Aufgaben

• Lead high-impact, cross-functional data science initiatives from problem framing through deployment, aligning with enterprise priorities and delivering measurable business outcomes.
• Design advanced analytical models, experimentation frameworks, and optimization strategies that translate ambiguous business challenges into structured, high-value solutions.
• Embed data science into operational workflows, ensuring solutions are actionable, interpretable, sustainable, and continuously improved through feedback loops, monitoring, and AI-enabled automation.
• Develop and deploy sophisticated models, including forecasting, causal inference, and optimization, ensuring technical rigor and business relevance.
• Establish robust experimentation and measurement frameworks, defining KPIs and success criteria that enable confident, data-driven decisions.
• Transform complex datasets into high-quality analytical assets, ensuring data integrity, governance, and usability while applying AI-driven feature engineering and data processing techniques.
• Partner with senior leaders to identify opportunities, challenge assumptions, and shape data-driven strategies that align with business objectives and regulatory expectations.
• Communicate complex analytical results through compelling narratives and visualizations, ensuring clarity, trust, and adoption.
• Elevate organizational data science maturity by mentoring peers, promoting best practices, and introducing innovative methodologies and AI capabilities.

Kenntnisse

Python

SQL

Experimentation

Causal inference

Forecasting

Optimization

KPI design

Measurement frameworks

Decision-support analytics

Snowflake

AWS

Azure

Ausbildung

Bachelor’s degree in Statistics/Data Science/Applied Mathematics/Economics/CS/Engineering

Master’s degree preferred

PhD is a plus

Tools

Snowflake

AWS

Azure

Jobbeschreibung

• Lead high-impact, cross-functional data science initiatives from problem framing through deployment, ensuring alignment with enterprise priorities and delivering measurable business outcomes.


• Design advanced analytical models, experimentation frameworks, and optimization strategies that translate ambiguous business challenges into structured, high-value solutions.


• Embed data science into operational workflows, ensuring solutions are actionable, interpretable, sustainable, and continuously improved through feedback loops, monitoring, and AI-enabled automation.


• Develop and deploy sophisticated models, including forecasting, causal inference, and optimization, ensuring technical rigor and business relevance.


• Establish robust experimentation and measurement frameworks, defining KPIs and success criteria that enable confident, data-driven decisions.


• Transform complex datasets into high-quality analytical assets, ensuring data integrity, governance, and usability while applying AI-driven feature engineering and data processing techniques.


• Partner with senior leaders to identify opportunities, challenge assumptions, and shape data-driven strategies that align with business objectives and regulatory expectations.


• Communicate complex analytical results through compelling narratives and visualizations, ensuring clarity, trust, and adoption.


• Elevate organizational data science maturity by mentoring peers, promoting best practices, and introducing innovative methodologies and AI capabilities.

Requirements

• Minimum of 8 years of experience in data science, advanced analytics, statistics, operations research, or a related quantitative field, including ownership of large-scale or cross-functional initiatives.


• Bachelor’s degree in Statistics, Data Science, Applied Mathematics, Economics, Computer Science, Engineering, or a related discipline required; master’s degree preferred; PhD is a plus.


• Strong strategic thinking, executive communication, cross-functional collaboration, stakeholder influence, and the ability to solve complex problems in ambiguous environments.


• Deep technical expertise in Python, SQL, experimentation, causal inference, forecasting, optimization, KPI and measurement framework design, decision-support analytics, and modern data platforms such as Snowflake, AWS, and Microsoft Azure.


• Preferred certification in statistics, experimentation, forecasting, optimization, causal inference, or a related analytical discipline.