Data Scientist Lead

Job Description

JD:

• Proven experience in developing model-based marketing measurement solutions (e.g., MMM, MTA, Forecasting, Scenario Planning, Optimization) within a marketing context.
• Strong understanding of marketing functions, platforms, tech stacks, and data.
• In-depth knowledge of the marketing measurement landscape and current trends.
• Advanced expertise in statistical analysis and machine learning.
• Proficiency in Python and common ML libraries (e.g., Scikit-Learn, PyTorch, Keras, TensorFlow, NumPy, SciPy, pandas, Matplotlib, Plotly).
• Strong SQL skills and experience with programming languages used in data analysis and modeling.
• Familiarity with GitHub and repository management.
• Advanced Excel skills, including VLOOKUPs, pivot tables, Power Pivot, and VBA.
• Experience with cloud platforms, particularly GCP, and data tools like Teradata.
• Skilled in data transformation, cleaning, and preparation for analysis and integration.
• Strong analytical and problem-solving skills with the ability to derive actionable insights.
• Excellent organizational, time management, and multitasking abilities in fast-paced environments.
• Ability to understand business problems, analyze data, develop actionable recommendations, and effectively communicate findings.
• Strong data storytelling skills with the ability to present to both technical and non-technical audiences.
• Eagerness to learn new systems and concepts and to share knowledge with others.
• Comfortable working with global teams across different time zones.
Effective in cross-cultural communication and collaboration.

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