Experienced Full Stack Data Scientist – AI and Factual Displaying for careerzynith's Streaming Business

Are you a data-driven individual with a passion for AI and factual displaying? Do you want to join a dynamic team that's shaping the future of entertainment and streaming? Look no further! careerzynith is seeking an experienced Full Stack Data Scientist to support our streaming business with AI and factual displaying focused on understanding and predicting user behavior.

• *About careerzynith**

careerzynith is a leading entertainment and media company that's revolutionizing the way people consume content. Our mission is to deliver unparalleled entertainment experiences to millions of users around the world. We're committed to innovation, creativity, and excellence in everything we do. Our team is passionate about using data and AI to drive business decisions and create personalized experiences for our users.

• *Job Summary**

As a Full Stack Data Scientist at careerzynith, you'll be responsible for developing and implementing AI strategies to address key business questions and identify new areas to explore. You'll work closely with colleagues across the organization to identify opportunities and collaborate with other data teams to improve platform capabilities around data modeling, data representation, experimentation, and data design. Your proposals will be presented to senior leaders, and you'll have the opportunity to make a significant impact on our business.

• *Key Responsibilities**

• Support the streaming business with AI and factual displaying focused on understanding and predicting user 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 intimately with colleagues across the organization to identify and open up new opportunities.
• Work closely with other data teams to improve platform capabilities around data modeling, data representation, experimentation, and data design.
• Present your proposals to senior leaders and drive business decisions.

• *Essential Capabilities**

• Bachelor's or Graduate 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.
• 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 stakeholders.
• Good 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 fast-paced environment with changing needs.
• Strong relational skills, both technical and non-technical audiences.
• Ability to focus on multiple tasks simultaneously and prioritize effectively.
• Experience with data platforms and applications like Databricks, Jupyter, Snowflake, Wind current, GitHub.
• Experience with planning 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, Spark).
• Experience with NLP and NN models.

• *Why Join careerzynith?**

• Opportunity to grow your career in a dynamic and innovative company.
• Collaborative and supportive team environment.
• Competitive salary and benefits package.
• Opportunity to work on cutting-edge projects and technologies.
• Professional development and growth opportunities.
• Flexible work arrangements, including remote work options.

• *How to Apply**

If you're a motivated and talented data scientist with a passion for AI and factual displaying, we encourage you to apply for this exciting opportunity. Please submit your application today, and join our team of innovators and thought leaders in the entertainment and media industry.

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