Experienced Full Stack Data Scientist – AI and Factual Displaying for careerzynith's Streaming Business
At careerzynith, we're pushing the boundaries of innovation and creativity in the entertainment industry. As a leading provider of direct-to-consumer video services, we're committed to delivering unparalleled experiences to our global audience. We're now seeking an experienced Full Stack Data Scientist to join our team and contribute to the success of our streaming business.
About careerzynith
careerzynith is a global leader in direct-to-consumer video services, with a portfolio of iconic brands including Disney+, Hulu, and ESPN+. Our mission is to bring the world's most beloved characters, timeless stories, and incredible content to audiences worldwide through our innovative streaming platforms. We're passionate about creating immersive experiences that captivate and inspire our customers, and we're looking for talented individuals like you to help us achieve our vision.
Job Summary
As a Full Stack Data Scientist at careerzynith, you'll play a critical role in driving business success through data-driven insights and AI-powered solutions. You'll work closely with our cross-functional teams to identify key business challenges and develop innovative data strategies to address them. Your expertise in AI and factual displaying will enable you to create predictive models, analyze complex data sets, and provide actionable recommendations to inform business decisions.
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, survival analysis, A/B testing, and causal inference.
- Create and implement innovative AI strategies to address key business questions while identifying new areas to explore.
- Drive experimentation to assess the effects of your models and iterate on your approach.
- Collaborate closely with colleagues across the organization to identify and capitalize on opportunities.
- Work with other data teams to improve platform capabilities around data modeling, data representation, experimentation, and data design.
- Present your findings and recommendations to senior leaders.
Essential Capabilities
* Bachelor's degree in Computer Science, Engineering, Science, Physics, Econometrics, or Statistics.
- 3+ years of experience designing, building, and evaluating effective AI solutions.
- Strong coding experience in one or more data programming languages like Python/R, with additional experience in scientific libraries like NumPy, Pandas, or similar libraries.
- Proficiency 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 stakeholders.
- Ability to extract insights and recommendations from data to inform model development and business decisions.
- Desire to collaborate with other data researchers, data analysts, and key stakeholders.
- Strong understanding of SQL.
Preferred Capabilities
* Postgraduate education in a quantitative field.
- Excellent analytical skills, high-level degree of statistical knowledge.
- Demonstrated ability to choose the right statistical tools given a data analysis problem.
- Ability to adapt quickly in a fast-paced environment with shifting needs.
- Strong interpersonal skills, both technical and non-technical audiences.
- Ability to focus on multiple projects simultaneously and meet deadlines.
- Experience with data platforms and applications like Databricks, Jupyter, Snowflake, Wind current, GitHub.
- Experience with designing and analyzing A/B testing and other experimentation types.
- Experience thinking critically to interpret market and customer data, ideally about a subscription service.
- Experience with distributed data technologies (Hive, Flume).
- Experience with NLP and NN models.
What We Offer
* Competitive salary and benefits package.
- Opportunity to work with a global leader in the entertainment industry.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
- Recognition and rewards for outstanding performance.
- Flexible work arrangements, including remote work options.
How to Apply
If you're a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We're excited to review your application and look forward to hearing from you. Apply To This Job
Equal Employment Opportunity
careerzynith is an equal employment opportunity employer and welcomes applications from diverse candidates. We're committed to creating an inclusive and respectful work environment that values diversity, equity, and inclusion. Apply for this job