
Data Scientist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States, +1 more country.
β’ Create sophisticated machine learning models to gain insights into the business, streamline and automate workflows, and enhance product recommendations.
β’ Design, construct, and deploy mathematical models aimed at achieving long-term product objectives, such as forecasting free-user subscriptions and suggesting articles.
β’ Oversee projects involving practical analysis and modeling, choosing suitable analytical techniques and levels of complexity.
β’ Utilize quantitative analysis to interpret user feedback and formulate recommendations.
β’ Design and implement data science pipelines in a production environment.
β’ Direct complex experiments.
β’ Foster an exceptional data science culture.
β’ Collaborate closely with data, product, growth, and engineering teams.
β’ 2-4 years of experience as a data scientist or data analyst, demonstrating the ability to apply scientific methods to address real-world challenges with web-scale data.
β’ Proficient in Python, with the capability to train machine learning models and deploy them into production.
β’ Strong understanding of SQL, enabling efficient data retrieval and writing to data warehouses.
β’ Familiarity with subscription media and recommendation engines, with the skill to translate this knowledge into actionable insights and optimizations.
β’ Knowledge of statistical concepts and their application in predictive modeling.
β’ Excellent verbal and written communication skills, with a knack for building cross-functional relationships.
β’ Ability to articulate complex concepts to varied audiences and create compelling narratives using data.
β’ Variable pay, including an annual bonus.
β’ Restricted stock options.
β’ Comprehensive medical benefits.
β’ Dental coverage.
β’ Vision insurance.
β’ Flexible Spending Accounts (F.S.A.s).
β’ Company-matching 401(k) plan.
β’ Paid vacation time.
β’ Paid sick leave.
β’ Paid parental leave.
β’ Tuition reimbursement.
β’ Professional development programs.
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