Data Science Manager

Posted 4 months agoInactiveViewed

💎 Seniority level: Manager, Proven experience as a Manager

📍 Location: Ireland

🔍 Industry: Public Transport Optimization

🗣️ Languages: English

⏳ Experience: Proven experience as a Manager

🪄 Skills: LeadershipPythonSQLGCPMachine LearningSpringSpring BootData scienceCollaborationCoaching

Proven experience as a Manager, with a strong background in data science.
Extensive experience in designing, developing, and implementing data pipelines and architectures.
Deep understanding of statistical and machine learning models and data quality.
Expertise in cloud-based data platforms like AWS, Azure, or GCP.
Strong proficiency in programming languages such as Python or SQL.
Excellent communication, collaboration, and problem-solving skills.

Lead and motivate a team of data engineers and scientists.
Oversee the design, development, and maintenance of data infrastructure and pipelines.
Ensure scalability, performance, reliability, and quality of data systems.
Support team development and career aspirations through coaching.
Manage recruitment for new team members.
Drive efficient software delivery processes and collaborate with stakeholders.
Contribute to the codebase and stay engaged with developer experience.

Posted 12 days ago

📍 United Kingdom, Ireland

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

6+ years of experience in marketing analytics, econometrics, or data science with a strong focus on marketing measurement.
Strong expertise in econometrics and regression modelling techniques with hands-on experience of Meta’s Robyn or Google’s Meridian packages.
Proficiency in Python and SQL for data analysis and modelling.
Proven track record of influencing marketing strategies through data-driven insights.
Solid understanding of digital and traditional media channels and their role in marketing effectiveness.
Strong communication and storytelling skills to translate analytical findings into business impact.
Demonstrated ability to present findings to both technical and non-technical audiences, with experience leading key technical projects.

💡 Responsibilities

Develop, validate, and maintain Media Mix Models (MMM) to measure the effectiveness of various marketing channels, including digital, TV, radio, OOH, and offline media.
Conduct advanced statistical and econometric analysis to quantify marketing effectiveness, forecast the impact of future marketing activities and recommend optimal budget allocations.
Partner with marketing, sales strategy and finance teams to translate model insights into actionable recommendations for campaign planning and budget allocation whilst ensuring insights align with broader business objectives.
Work with engineering teams to build scalable and automated pipelines for data ingestion, model training, and reporting as well as ensuring the availability of clean, structured, and reliable marketing data.
Explore and implement advanced modelling techniques such as Bayesian MMM, hierarchical modelling, and causal inference.
Present findings and insights to senior stakeholders, communicating complex concepts in a clear and actionable way.
Stay up to date with industry trends, emerging MMM methodologies, and data science best practices.

PythonSQLData AnalysisData scienceRegression testingData visualizationMarketingData modeling

Posted 12 days ago