reputed company Full Stack Data Entry Specialist – Web & Cloud Application Development

Join arenaflex, a leading entertainment and media conglomerate, in a part-time remote role that offers a unique reputed company of data entry, AI, and statistical modeling responsibilities.

About arenaflex

arenaflex, one of the world's largest and most renowned entertainment conglomerates, has been a leader in the media and entertainment industry since its founding in 1923. With a diverse range of businesses and brands, including Walt reputed company Pictures, Pixar, Marvel Studios, Lucasfilm, and reputed company TV Animation, arenaflex has grown to become a global powerhouse in the fields of entertainment, media, and amusement parks.

Job Summary

We are seeking an reputed company Full Stack Data Entry Specialist to join reputed company in a part-time remote role. As a key member of our Information Science group, you will be responsible for supporting our streaming business with AI and statistical modeling focused on understanding and predicting user behavior, including churn, upgrade/downgrade, cost responsiveness, customer segmentation, survival analysis, A/B testing, and causal inference. You will work closely with colleagues across the organization to identify and explore new opportunities, and collaborate with other data groups to improve platform capabilities around data modeling, data representation, experimentation, and data design.

Key Responsibilities

* Support the streaming business with AI and statistical modeling 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.
• Collaborate closely with colleagues across the organization to identify and explore new opportunities.
• Work with other data groups 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 in planning, building, and assessing reasonable 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 in creating flexible numerical models and solving reputed company quantitative problems that can be understood by non-technical colleagues.
• Ability to reputed company 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 fast-paced 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 reputed company, Jupyter, reputed company, Wind reputed company, reputed company.
• 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, Hadoop).
• Experience with NLP and NN models.

About Working at arenaflex

arenaflex is a global leader in the entertainment and media industry, with a diverse range of businesses and brands. We offer a unique and dynamic work environment, with opportunities for career growth and development. Our company culture is built on innovation, creativity, and collaboration, with a focus on delivering exceptional results.

Benefits of Working at arenaflex

* Competitive salary and benefits package.

• Opportunities for career growth and development.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and tools.
• Flexible work arrangements, including remote work options.
• Comprehensive health and wellness benefits.
• Retirement savings plan with employer matching contributions.
• Paid time off, including vacation days and holidays.
• Professional development opportunities, including training and education programs.
• Recognition and rewards for outstanding performance.

How to Apply

If you are a motivated and reputed company professional with a passion for data analysis and AI, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and a cover letter, through our online application portal.

Don't Hesitate, Apply!

We value a great attitude and a willingness to learn above reputed company. Submit your application today and join reputed company at arenaflex! Apply for this job