Senior Data Scientist

This is a fully remote position, open to applicants in Greece.

📋 Description

• Design and apply statistical methodologies and algorithms to address business inquiries.

• Develop and sustain modeling engines for Circana's analytics platforms utilizing Python, SQL, Spark, and additional tools.

• Employ advanced computations, statistics, machine learning, and AI techniques.

• Assist in the complete media product development cycle.

• Perform exploratory data analysis.

• Create and implement a comprehensive modeling platform.

• Formulate statistical methodologies and design empirical experiments.

• Compile large databases from various sources into formats ready for analysis.

• Collaborate with Technology, Product, Commercial, and other cross-functional teams to develop analytical solutions.

• Manage granular data at scale for prominent retailers and manufacturers.

• Engage directly with clients, including leading advertising platforms, to gather requirements and relay results.

• Document and present methodologies and research outcomes to both internal and external stakeholders.

• Oversee and mentor junior data scientists.

⛳️ Requirements

• A postgraduate degree in Statistics, Econometrics, or a related quantitative discipline is required; a Master's or PhD is preferred.

• Over 6 years of experience in Python/R development.

• Strong expertise in statistical analysis, data visualization, and statistical modeling.

• Familiarity with tools such as Pandas, NumPy, Matplotlib, dplyr, ggplot2, and tidyr.

• Proficiency in writing complex SQL queries, including joins, aggregations, subqueries, window functions, and optimizing queries.

• Capability in retrieving and integrating data from diverse sources and formats.

• In-depth knowledge of descriptive and inferential statistics, hypothesis testing, regression analysis, time series analysis, and A/B testing.

• Solid grasp of Machine Learning and AI algorithms.

• Ability to derive and communicate impactful insights from multiple data sources.

• Proficient in explaining technical topics to non-technical audiences.

• Previous experience in Marketing Mix Modeling and other media measurement techniques is a plus.

🏝️ Benefits

• A flexible and supportive environment that values both work and personal life.

• Opportunities for continuous learning and professional growth.

• A culture that encourages feedback sharing.

• An inclusive workplace focused on fostering belonging.

• Recognized as a Great Place To Work® certified employer.