**Experienced Full Stack Data Scientist – Machine Learning and Statistical Analysis for arenaflex's Direct to Consumer Team**
At arenaflex, we're revolutionizing the way people experience entertainment and storytelling. Our Direct to Consumer team is at the forefront of this revolution, overseeing the Hulu and arenaflex+ streaming businesses and bringing arenaflex's best-in-class storytelling to fans and families everywhere. We're seeking an experienced Full Stack Data Scientist to join our team and help us make data-driven decisions that shape the future of entertainment.
**Job Summary:**
As a Full Stack Data Scientist on our Direct to Consumer team, you'll be responsible for developing and implementing machine learning models and statistical analysis to drive business growth and user engagement. You'll work closely with cross-functional teams, including content, marketing, product, and engineering, to provide actionable insights and recommendations that inform business decisions. If you're passionate about data science, machine learning, and storytelling, and have a proven track record of delivering high-impact results, we want to hear from you!
**Key Responsibilities:**
* Develop and implement machine learning models and statistical analysis to drive business growth and user engagement
* Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with our services and content
* Visualize insights and communicate complex data findings to non-technical stakeholders through clear and compelling storytelling
* Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture
* Develop prototype solutions, mathematical models, algorithms, and robust analytics to drive business outcomes
* Collaborate with cross-functional teams to integrate data science solutions into the business and operationalize machine learning models
**Essential Qualifications:**
* Bachelor's degree in advanced Mathematics, Statistics, Data Science, or comparable field of study, and/or equivalent work experience
* 7+ years related experience with developing machine learning models and conducting statistical analysis
* Deep understanding of machine learning concepts and statistical methods
* Ability to draw insights and conclusions from data to inform model development and business decisions
* Desire to collaborate with other data scientists, data analysts, and key business partners
* Proficient in analyzing data and developing ML models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.)
* Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.)
* Understanding of SQL and distributed data technologies (Hive, Spark)
**Preferred Qualifications:**
* MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics, or related quantitative field (e.g. Econometrics, Mathematics, Operations Research)
* Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC
* Experience fully integrating data science solutions into the business and operationalizing ML models
**Skills and Competencies:**
* Strong understanding of machine learning concepts and statistical methods
* Ability to communicate complex data findings to non-technical stakeholders through clear and compelling storytelling
* Collaborative mindset and ability to work effectively with cross-functional teams
* Strong analytical and problem-solving skills
* Proficient in Python and ML frameworks (TensorFlow, scikit-learn, etc.)
* Experience with data visualization tools (Tableau, Power BI, etc.)
* Strong understanding of SQL and distributed data technologies (Hive, Spark)
**Career Growth Opportunities and Learning Benefits:**
* Opportunity to work on high-impact projects that shape the future of entertainment
* Collaborative and dynamic work environment with a team of passionate and talented professionals
* Access to cutting-edge tools and technologies, including machine learning frameworks and data visualization tools
* Opportunities for professional growth and development through training and mentorship programs
* Flexible work arrangements, including remote work options and flexible hours
**Work Environment and Company Culture:**
* arenaflex is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences
* Our Direct to Consumer team is at the forefront of the entertainment industry, overseeing the Hulu and arenaflex+ streaming businesses
* We're a collaborative and dynamic work environment with a team of passionate and talented professionals
* We're committed to creating a culture of innovation, creativity, and inclusivity
**Compensation, Perks, and Benefits:**
* Competitive salary range: $149,300-$200,200 (dependent on location, experience, and qualifications)
* Bonus and/or long-term incentive units may be provided as part of the compensation package
* Comprehensive benefits package, including medical, financial, and other benefits
* Flexible work arrangements, including remote work options and flexible hours
* Access to cutting-edge tools and technologies, including machine learning frameworks and data visualization tools
* Opportunities for professional growth and development through training and mentorship programs
**How to Apply:**
If you're passionate about data science, machine learning, and storytelling, and have a proven track record of delivering high-impact results, we want to hear from you! Please submit your application through our website, including your resume, cover letter, and any relevant work samples or projects. We can't wait to hear from you!
**Job Summary:**
As a Full Stack Data Scientist on our Direct to Consumer team, you'll be responsible for developing and implementing machine learning models and statistical analysis to drive business growth and user engagement. You'll work closely with cross-functional teams, including content, marketing, product, and engineering, to provide actionable insights and recommendations that inform business decisions. If you're passionate about data science, machine learning, and storytelling, and have a proven track record of delivering high-impact results, we want to hear from you!
**Key Responsibilities:**
* Develop and implement machine learning models and statistical analysis to drive business growth and user engagement
* Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with our services and content
* Visualize insights and communicate complex data findings to non-technical stakeholders through clear and compelling storytelling
* Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture
* Develop prototype solutions, mathematical models, algorithms, and robust analytics to drive business outcomes
* Collaborate with cross-functional teams to integrate data science solutions into the business and operationalize machine learning models
**Essential Qualifications:**
* Bachelor's degree in advanced Mathematics, Statistics, Data Science, or comparable field of study, and/or equivalent work experience
* 7+ years related experience with developing machine learning models and conducting statistical analysis
* Deep understanding of machine learning concepts and statistical methods
* Ability to draw insights and conclusions from data to inform model development and business decisions
* Desire to collaborate with other data scientists, data analysts, and key business partners
* Proficient in analyzing data and developing ML models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.)
* Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.)
* Understanding of SQL and distributed data technologies (Hive, Spark)
**Preferred Qualifications:**
* MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics, or related quantitative field (e.g. Econometrics, Mathematics, Operations Research)
* Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC
* Experience fully integrating data science solutions into the business and operationalizing ML models
**Skills and Competencies:**
* Strong understanding of machine learning concepts and statistical methods
* Ability to communicate complex data findings to non-technical stakeholders through clear and compelling storytelling
* Collaborative mindset and ability to work effectively with cross-functional teams
* Strong analytical and problem-solving skills
* Proficient in Python and ML frameworks (TensorFlow, scikit-learn, etc.)
* Experience with data visualization tools (Tableau, Power BI, etc.)
* Strong understanding of SQL and distributed data technologies (Hive, Spark)
**Career Growth Opportunities and Learning Benefits:**
* Opportunity to work on high-impact projects that shape the future of entertainment
* Collaborative and dynamic work environment with a team of passionate and talented professionals
* Access to cutting-edge tools and technologies, including machine learning frameworks and data visualization tools
* Opportunities for professional growth and development through training and mentorship programs
* Flexible work arrangements, including remote work options and flexible hours
**Work Environment and Company Culture:**
* arenaflex is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences
* Our Direct to Consumer team is at the forefront of the entertainment industry, overseeing the Hulu and arenaflex+ streaming businesses
* We're a collaborative and dynamic work environment with a team of passionate and talented professionals
* We're committed to creating a culture of innovation, creativity, and inclusivity
**Compensation, Perks, and Benefits:**
* Competitive salary range: $149,300-$200,200 (dependent on location, experience, and qualifications)
* Bonus and/or long-term incentive units may be provided as part of the compensation package
* Comprehensive benefits package, including medical, financial, and other benefits
* Flexible work arrangements, including remote work options and flexible hours
* Access to cutting-edge tools and technologies, including machine learning frameworks and data visualization tools
* Opportunities for professional growth and development through training and mentorship programs
**How to Apply:**
If you're passionate about data science, machine learning, and storytelling, and have a proven track record of delivering high-impact results, we want to hear from you! Please submit your application through our website, including your resume, cover letter, and any relevant work samples or projects. We can't wait to hear from you!