Data Scientist
Company
Wpromote
Location
USA
Type
Full Time
Job Description
- Working closely with Product Development to identify high-impact business problems that can be solved by data science and machine learning methods
- Building always-on solutions to optimize ad spend on myriad digital platforms
- Developing multi-agent and hierarchical systems to improve multiple aspects of clients’ marketing performance
- Conducting incrementality tests and building Media-Mix Models (MMMs)
- Maintaining data science and machine learning workflows by fixing bugs or improving model performance if required
- Articulating complex, technical results and methods to internal stakeholders
- Occasionally join client meetings to understand client data problems and propose innovative solutions
- Design, develop, and deploy machine learning models and statistical analyses to solve complex business problems.
- Build and maintain front-end applications or dashboards to visualize and operationalize model outputs
- Collaborate with back-end engineers to integrate APIs and ensure seamless data flow between models and applications
- Create interactive user interfaces (UIs) that effectively communicate insights and model results
- Degree in Computer Science, Engineering, Statistics, Economics, or any related quantitative discipline preferred
- M.S. + 2 years of experience or B.S. + 4 years of relevant experience
- Strong programming skills in R, Python & SQL
- Work experience within the digital advertising or MarTech field
- Demonstrable successes in delivering data-driven products, including being involved in all aspects of the product development life cycle
- A deep understanding of statistical modeling and machine learning techniques
- Experience solving complex optimization problems, preferably with reinforcement learning
- Strong working knowledge with large data sets, preferably in the digital marketing domainÂ
- Experience with cloud OLAP database platforms such as BigQuery and Snowflake
- Strong communication skills, with both technical and non-technical audiences
- Ability to work beyond familiar algorithms - to get out of one’s comfort zone and earnestly seek to integrate the best solutions to business challenges
- Sincere interest in working towards the data-driven future of digital marketing within a fast-growing organization
- Solid knowledge of working with marketing and/or user acquisition data across a variety of industries
- Experience with multi-armed bandit and biddings problems in a marketing setting
- Working experience in developing and deploying to cloud providers such as AWS and Google Cloud Platform
- Experience building solutions for multi-agent or hierarchical systems
- Familiarity working with and building APIs
- Working experience with front-end development (Shiny, Dash, D3, React, CSS, JavaScript, etc.)
- Familiarity with CI/CD and MLOps practices

Date Posted
12/20/2024
Views
0
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