Data Scientist

Summary

Join Wpromote as a Data Scientist and leverage your expertise in statistical tools, deep learning, and marketing data to build innovative data solutions. You will collaborate with Product and cross-functional teams to design machine learning workflows and statistical models that enhance client marketing performance. Your work will involve developing models and integrating them into user-friendly applications, delivering actionable insights. This role offers the opportunity to bridge cutting-edge data science with user-centric applications, scaling solutions for industry-leading marketers. Wpromote prioritizes a strong work-life balance and offers a comprehensive benefits package, including flexible schedules, remote work options, paid parental leave, and various insurance plans. The anticipated annual salary ranges from $117,500 to $132,500.

Requirements

• 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 domain
• 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

Responsibilities

• Work closely with Product Development to identify high-impact business problems that can be solved by data science and machine learning methods
• Build always-on solutions to optimize ad spend on myriad digital platforms
• Develop multi-agent and hierarchical systems to improve multiple aspects of clients’ marketing performance
• Conduct incrementality tests and building Media-Mix Models (MMMs)
• Maintain data science and machine learning workflows by fixing bugs or improving model performance if required
• Articulate 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

Preferred Qualifications

• 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

Benefits

• Half-day Fridays year round
• Unlimited PTO
• Extended Holiday break (Winter)
• Flexible schedules
• Work from anywhere options*
• 100% paid parental leave
• 401(k) matching
• Medical, Dental, Vision, Life, Pet Insurance
• Sponsored life insurance
• Short Term Disability insurance and additional voluntary insurance
• Annual Class Pass Credits and more!