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!
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