Job Description
Are you a data-driven professional with a passion for creating innovative AI strategies and driving business growth? Do you thrive in a fast-paced environment where no two days are the same? Look no further than this exciting opportunity to join the Data Science team at blithequark, a leading innovator in direct-to-consumer video services. **About blithequark** blithequark is a global leader in creating and delivering world-class direct-to-consumer video experiences. Our mission is to bring the world's most beloved characters, timeless stories, and incredible content to audiences around the globe through our streaming services, including Disney+, Hulu, and ESPN+. As a Data Scientist at blithequark, you will be part of a dynamic team that uses data-driven insights to inform business decisions and drive growth. **Job Summary** We are seeking an experienced Full Stack Data Scientist to join our team in New York, USA. As a Data Scientist at blithequark, you will be responsible for creating and implementing AI and factual displaying strategies to understand and predict subscriber behavior, including churn, upgrade/downgrade, cost responsiveness, customer segmentation, and retention analysis. You will work closely with cross-functional teams to identify and explore new business opportunities and drive trial and error to assess the effects of your models. **Key Responsibilities** * Support the streaming business with AI and factual displaying focused on understanding and predicting subscriber behavior, including churn, upgrade/downgrade, cost responsiveness, customer segmentation, retention analysis, trial plan and analysis, and causal inference. * Create and implement innovative AI strategies to address key business questions while identifying new areas to explore. * Drive trial and error to assess the effects of your models. * Collaborate closely with colleagues across the organization to identify and explore new business opportunities. * Present your proposals to senior leaders. * Work with other data groups to improve platform capabilities around data modeling, data representation, trial and error, and data design. **Essential Capabilities** * Bachelor's degree in Computer Science, Engineering, Science, Physics, Econometrics, or Statistics. * 3+ years of experience designing, building, and assessing reasonable AI solutions. * Strong coding experience in (at least one) data programming languages like Python/R, with additional experience in scientific libraries like Numpy, Pandas, or similar libraries. * Proficient in analyzing data and creating ML models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.). * Strong foundation in statistical modeling: regression, clustering, time series estimation, causal inference, and other methods. * Experience creating flexible numerical models and solving complex quantitative problems that can be understood by non-technical colleagues. * Ability to make insights and recommendations from data to inform model development and business decisions. * Willingness to collaborate with other data researchers, data analysts, and key colleagues. * Strong understanding of SQL. **Preferred Capabilities** * Postgraduate education in a quantitative field. * Excellent analytical skills, high-level degree of statistical knowledge. * Demonstrated ability in choosing the right statistical tools given a data analysis problem. * Ability to adapt quickly in a high-speed environment with changing needs. * Strong relational skills, for both technical and non-technical audiences. * Ability to focus on multiple tasks simultaneously and meet deadlines. * Experience with data platforms and applications like Databricks, Jupyter, Snowflake, Wind current, Github. * Experience with planning and analyzing A/B testing and other trial types. * Experience thinking decisively to interpret market and customer data, ideally about a subscription service. * Experience with distributed data technologies (Hive, Flash). * Experience with NLP and NN models. **What We Offer** * Competitive hourly rate of $25/hour. * Part-time remote work arrangement. * Opportunity to work with a dynamic team of data scientists and engineers. * Collaborative and fast-paced work environment. * Professional development opportunities. * Flexible work arrangements. **How to Apply** If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We look forward to hearing from you! Apply Now! Apply for this job