(Gf-938) | Zs-586 | Senior Data Scientist (Marketing) - Digital Markets

Description: About Gartner Digital Markets What we're looking for: Partner with various stakeholders across lifecycle and performance marketing.Guide the development of our marketing data science practices by identifying use cases, prioritizing projects based on business value, and creating roadmaps.Own the full development cycle of data products: architectural design, prototype, development, deployment.Lead on continuously improving existing solutions by analysing trends and identifying root causes of inaccuracies.Transform, standardize, and integrate data sets to develop data marts for data science use cases.Employ supervised and unsupervised machine learning techniques to support analytic objectives.Develop data-processing and technical workflows for delivery of data-driven customer experiences.Collaborate with Engineering and Product Owners teams to execute the data science roadmap.Mentor and train junior data scientists.What you'll bring to the team: Master's degree or PhD in mathematics, statistics, computer science, economics, or a similar quantitative field.5+ years of professional experience in data science or advanced analytics, with a portfolio of projects in digital marketing.Good knowledge of optimization algorithms (stochastic, greedy, gradient descent, etc.).Proficient with querying languages (SQL) and data transformation packages - we develop and deploy in Python (Pandas, Polars), but we occasionally do research with R (Data Table, Tidyverse).Ability to summarize complex research into intuitive stories, using visualization libraries (plotly, matplotlib, bokeh, ggplot2, etc.).Curious and analytical nature, compelled to dive deep to understand complicated problems.Passionate for data and analytics, driven to acquire the skills necessary to accomplish complex tasks.Strong interpersonal skills with ability to build relationships and effectively collaborate with partners.Strong verbal and written communication skills with ability to clearly present complicated analysis.Excellent organizational and time management skills with ability to juggle multiple priorities.Comfortable working independently to achieve successful results with minimal guidance.Resourceful and resilient with the instincts to take a creative approach to problem solving.Nice to have: Experience with libraries for creating and deploying web apps (Streamlit, Dash, Shiny App, etc.).Experience working with cloud-based data warehouses and data management systems (Redshift, Snowflake, BigQuery, Databricks).Experience with version control systems (git, or svn).What you'll find: Limitless growth and learning opportunities.A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.
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