**Experienced Full Stack Data Scientist – AI and Machine Learning for arenaflex's Streaming Business**
At arenaflex, we're revolutionizing the way people access and engage with entertainment content worldwide. Our innovative streaming services, including Disney+, Hulu, and ESPN+, have captivated millions of users globally. As a key member of our Information Science team, you'll play a pivotal role in driving business growth and customer satisfaction through data-driven insights and AI-powered solutions.
**About arenaflex**
arenaflex is a global leader in direct-to-consumer video services, with a rich history of innovation and creativity. Our mission is to deliver unparalleled entertainment experiences to audiences worldwide, anytime, and anywhere. With a diverse range of content, including Disney, Pixar, Marvel, Star Wars, and National Geographic, we're committed to pushing the boundaries of what's possible in the world of entertainment.
**Job Summary**
We're seeking an experienced Full Stack Data Scientist to join our team in New York, USA. As a key member of our Information Science group, you'll work closely with cross-functional teams to develop and implement AI and machine learning solutions that drive business growth and customer satisfaction. Your expertise in data analysis, modeling, and visualization will help us better understand our customers' needs and preferences, informing strategic decisions that shape the future of our streaming services.
**Key Responsibilities**
* Support the streaming business with AI and statistical modeling focused on understanding and predicting customer behavior, including churn, upgrade/downgrade, cost responsiveness, customer segmentation, survival analysis, A/B testing, and causal inference.
* Develop and implement innovative AI strategies to address key business questions while identifying new areas for exploration.
* Drive experimentation to assess the impact of your models and inform data-driven decision-making.
* Collaborate closely with colleagues across the organization to identify and capitalize on opportunities, working 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, influencing business decisions that shape the future of our streaming services.
**Essential Capabilities**
* Bachelor's degree in Computer Science, Engineering, Mathematics, 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 equivalent 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.
* Willingness 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, with a high level of data literacy.
* Demonstrated expertise in selecting the right statistical tools given a data analysis problem.
* Ability to adapt quickly in a fast-paced environment with shifting needs.
* Strong interpersonal 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 designing and analyzing A/B testing and other experimentation types.
* Experience thinking critically to interpret market and customer data, ideally about a subscription-based service.
* Experience with distributed data technologies (Hive, Spark).
* Experience with NLP and NN models.
**What We Offer**
* Competitive hourly rate of $25/hour.
* Opportunity to work with a global leader in direct-to-consumer video services.
* Collaborative and dynamic work environment with a diverse team of experts.
* Professional development opportunities to enhance your skills and career growth.
* Flexible remote work arrangement with regular check-ins and team meetings.
* Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
**How to Apply**
If you're a motivated and detail-oriented data scientist with a passion for AI and machine learning, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to [insert contact information]. We can't wait to hear from you!
Apply Now!
**About arenaflex**
arenaflex is a global leader in direct-to-consumer video services, with a rich history of innovation and creativity. Our mission is to deliver unparalleled entertainment experiences to audiences worldwide, anytime, and anywhere. With a diverse range of content, including Disney, Pixar, Marvel, Star Wars, and National Geographic, we're committed to pushing the boundaries of what's possible in the world of entertainment.
**Job Summary**
We're seeking an experienced Full Stack Data Scientist to join our team in New York, USA. As a key member of our Information Science group, you'll work closely with cross-functional teams to develop and implement AI and machine learning solutions that drive business growth and customer satisfaction. Your expertise in data analysis, modeling, and visualization will help us better understand our customers' needs and preferences, informing strategic decisions that shape the future of our streaming services.
**Key Responsibilities**
* Support the streaming business with AI and statistical modeling focused on understanding and predicting customer behavior, including churn, upgrade/downgrade, cost responsiveness, customer segmentation, survival analysis, A/B testing, and causal inference.
* Develop and implement innovative AI strategies to address key business questions while identifying new areas for exploration.
* Drive experimentation to assess the impact of your models and inform data-driven decision-making.
* Collaborate closely with colleagues across the organization to identify and capitalize on opportunities, working 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, influencing business decisions that shape the future of our streaming services.
**Essential Capabilities**
* Bachelor's degree in Computer Science, Engineering, Mathematics, 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 equivalent 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.
* Willingness 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, with a high level of data literacy.
* Demonstrated expertise in selecting the right statistical tools given a data analysis problem.
* Ability to adapt quickly in a fast-paced environment with shifting needs.
* Strong interpersonal 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 designing and analyzing A/B testing and other experimentation types.
* Experience thinking critically to interpret market and customer data, ideally about a subscription-based service.
* Experience with distributed data technologies (Hive, Spark).
* Experience with NLP and NN models.
**What We Offer**
* Competitive hourly rate of $25/hour.
* Opportunity to work with a global leader in direct-to-consumer video services.
* Collaborative and dynamic work environment with a diverse team of experts.
* Professional development opportunities to enhance your skills and career growth.
* Flexible remote work arrangement with regular check-ins and team meetings.
* Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
**How to Apply**
If you're a motivated and detail-oriented data scientist with a passion for AI and machine learning, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to [insert contact information]. We can't wait to hear from you!
Apply Now!