Data Scientist
1 semana atrás
We are looking for an experienced Data Scientist to join our organization.
In this role, you will help shape marketing analytics strategies and support data-driven initiatives. You'll collaborate with a talented team and have the chance to influence key business decisions.
Responsibilities
- Oversee the development and rollout of data science projects focused on marketing topics like predicting customer churn, segmenting audiences, and modeling customer lifetime value
- Cleanse, restructure, and examine large volumes of data from multiple platforms to support modeling and campaign analysis
- Build, test, and refine machine learning algorithms using Python or R, and partner with engineering to deploy models into live environments
- Create experimental designs and measurement plans to assess marketing campaign results and model performance
- Present complex data findings and technical details in a way that is actionable for marketing teams
- Help enhance AI and machine learning capabilities within the marketing analytics group
- Keep thorough records of modeling processes, assumptions, and performance indicators
Requirements
- Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science, or Artificial Intelligence
- Minimum of 2 years' experience in a data science or analytics position
- Strong command of Python or R for statistical analysis and machine learning
- Solid grasp of supervised learning approaches, including classification, regression, feature creation, and model assessment
- Skilled in writing advanced SQL queries to handle and process large datasets
- Practical experience with experimental methods like A/B testing and uplift analysis
- Strong communication abilities to explain technical concepts to non-technical audiences
- Able to work independently in a fast-paced setting and juggle multiple assignments
- Proficient in English, both written and spoken, at B2+ level or higher
Nice to have
- Experience with marketing analytics, paid media performance, or modeling user behavior
- Knowledge of AI technologies such as large language models, recommendation engines, or generative AI
- Familiarity with cloud computing platforms like AWS, GCP, or Azure, and version control tools such as Git
- Previous involvement in the gaming, media, or entertainment industries
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