Senior Data Scientist

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Develop machine learning products that influence business strategy, enhance content, guide marketing investments, and improve user experience.

• Utilize video and ad consumption data, clickstream behavior, subscription records, and second/third-party information to create user- and session-level causal and predictive models.

• Convert intricate business challenges into actionable quantitative solutions.

• Design, automate, and sustain efficient, high-performing end-to-end machine learning systems by adhering to best practices in software engineering and MLOps.

• Provide clear and impactful insights to stakeholders.

• Partner with product stakeholders to implement data science solutions effectively.

• Advocate for best practices within the data science and product analytics teams.

• Construct global models that forecast user behavior throughout the subscription process.

• Recognize and assess high-value user actions and the factors contributing to habit formation.

• Generate session-level forecasts to reveal user intent.

• Anticipate content viewership and pinpoint content characteristics that engage subscribers.

• Develop user segmentations for cohort-based targeting and nearly personalized experiences.

• Conduct diagnostic analyses, including assessments of unsuccessful searches, to uncover opportunities for product enhancements.

⛳️ Requirements

• Minimum of 2 years of experience in Data Science and Machine Learning Engineering.

• MS or Ph.D. in Statistics, Data Science, Computer Science, or related fields with a focus on machine learning techniques.

• Proficient in both supervised and unsupervised learning methodologies.

• Comprehensive experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.

• Familiarity with statistical and machine learning models and methodologies.

• Ability to innovate while avoiding over-engineering.

• Excellent communication skills, capable of engaging a diverse range of stakeholders persuasively.

• Strong attention to detail with a commitment to data accuracy.

• Experience with Google Cloud Platform, including BigQuery, ML Engine, and APIs.

• Proven experience in integrating AI solutions into current business processes.

• Familiarity with Atlassian project management tools such as JIRA and Confluence.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan.

• Life insurance coverage.

• Disability benefits.

• Tuition assistance program.

• Generous paid time off (PTO).

• Bonus eligibility.

• Competitive compensation and comprehensive benefits packages.

• Opportunities for both on-site and virtual engagement events.

• Chances to build significant connections and foster a vibrant community.