Senior Machine Learning Scientist, Conversion Modeling

About the role

As a Senior Machine Learning Scientist focusing on Conversion Modeling at Roku, you will play a pivotal role in enhancing our advertising and marketing strategies through advanced analytics and machine learning techniques. Your expertise will help us understand user behavior and optimize conversion rates across our platforms. This position is ideal for someone who is passionate about leveraging data to drive business outcomes and improve user experiences. You will collaborate with cross-functional teams, including product managers and engineers, to implement innovative solutions that align with Roku's mission of delivering the best streaming experience.

Key facts

What you'll do

• Develop and implement machine learning models to analyze user behavior and predict conversion rates across various advertising campaigns.
• Collaborate with data engineers to design and maintain scalable data pipelines that support machine learning initiatives.
• Conduct exploratory data analysis to uncover insights that inform marketing strategies and improve user engagement.
• Work closely with product teams to define key performance indicators (KPIs) and measure the effectiveness of conversion strategies.
• Utilize statistical techniques to validate model performance and ensure robustness in predictions.
• Present findings and insights to stakeholders, translating complex data into actionable recommendations.
• Stay updated on the latest trends and advancements in machine learning and data science to continuously enhance our modeling techniques.
• Mentor junior data scientists and contribute to building a culture of learning and innovation within the team.
• Collaborate with marketing teams to design A/B tests and other experiments to evaluate the impact of different strategies on conversion rates.
• Optimize existing models and algorithms to improve accuracy and efficiency in predicting user behavior.
• Engage in cross-departmental projects to align machine learning initiatives with broader company objectives.
• Document methodologies and processes to ensure reproducibility and knowledge sharing within the team.

Requirements

• A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• At least 5 years of experience in machine learning, data science, or a related domain, with a focus on conversion modeling or user behavior analysis.
• Proficiency in programming languages such as Python or R, along with experience in machine learning libraries like TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical modeling techniques and their application in real-world scenarios.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms to communicate insights effectively.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus.
• Excellent problem-solving skills and the ability to work independently as well as in a team environment.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Nice to have

• Experience in the streaming or digital media industry, with an understanding of advertising technologies.
• Knowledge of SQL and experience working with large datasets in relational databases.
• Familiarity with reinforcement learning techniques and their application in marketing strategies.
• Previous experience in a mentorship or leadership role within a data science team.
• Publications or contributions to open-source projects in the field of machine learning or data science.

Skills & tools

• Machine Learning: Proficient in supervised and unsupervised learning techniques, model evaluation, and optimization.
• Programming: Strong coding skills in Python or R, with experience in data manipulation and analysis.
• Data Visualization: Ability to create compelling visual representations of data to communicate findings effectively.
• Statistical Analysis: Expertise in hypothesis testing, regression analysis, and other statistical methodologies.
• Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure for deploying machine learning models.
• Collaboration Tools: Experience using tools like JIRA, Confluence, or Slack for project management and team communication.

Practical notes

• Salary for this position is competitive and commensurate with experience.
• Candidates must be authorized to work in the United States; visa sponsorship may be available for qualified applicants.
• This role is based in San Jose, California, and may require occasional travel for team meetings or conferences.
• Interested candidates can apply through the Roku careers page at [Roku Careers](https://www.weareroku.com/jobs/7931621?gh_jid=7931621).

Join Roku as a Senior Machine Learning Scientist and contribute to shaping the future of streaming technology through innovative data-driven solutions!