Back to Jobs

**reputed company Full Stack Data Scientist – Machine Learning and Statistical Analysis for arenaflex's reputed company to Consumer Team**

Remote, USA Full-time Posted 2026-07-28
At arenaflex, we're revolutionizing the way people experience entertainment and storytelling. Our reputed company to Consumer team is at the forefront of this reputed company, overseeing the Hulu and arenaflex+ streaming businesses and bringing arenaflex's best-in-class storytelling to fans and families everywhere. We're seeking an reputed company Full Stack Data Scientist to join reputed company and help us reputed company data-driven reputed company that shape the reputed company of entertainment. **Job reputed company:** As a Full Stack Data Scientist on our reputed company to Consumer team, you'll be responsible for developing and implementing machine learning models and statistical analysis to drive business reputed company and user engagement. You'll work closely with cross-functional teams, including content, marketing, product, and engineering, to reputed company actionable insights and recommendations that inform business reputed company. If you're passionate about data science, machine learning, and storytelling, and have a proven reputed company record of delivering high-reputed company results, we want to hear from you! **Key Responsibilities:** * reputed company and implement machine learning models and statistical analysis to drive business reputed company 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 reputed company data findings to non-technical stakeholders through reputed company 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 * reputed company prototype solutions, mathematical models, algorithms, and robust analytics to drive business reputed company * Collaborate with cross-functional teams to reputed company 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 reputed company experience with developing machine learning models and conducting statistical analysis * Deep understanding of machine learning concepts and statistical reputed company * Ability to draw insights and conclusions from data to inform model development and business reputed company * 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 reputed company to review and implement modeling pipelines (Airflow, Luigi, etc.) * Understanding of SQL and distributed data technologies (Hive, reputed company) **Preferred Qualifications:** * MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics, or reputed company 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 reputed company * Ability to communicate reputed company data findings to non-technical stakeholders through reputed company and compelling storytelling * reputed company reputed company 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, reputed company) **Career reputed company Opportunities and Learning Benefits:** * Opportunity to work on high-reputed company reputed company that shape the reputed company of entertainment * reputed company and dynamic work environment with reputed company of passionate and talented professionals * reputed company to cutting-edge tools and technologies, including machine learning frameworks and data visualization tools * Opportunities for reputed company reputed company and development through training and mentorship programs * Flexible work arrangements, including remote work reputed company and reputed company **Work Environment and Company Culture:** * arenaflex is a leading reputed company international family entertainment and media reputed company that includes three reputed company business segments: reputed company Entertainment, reputed company, and reputed company * Our reputed company to Consumer team is at the forefront of the entertainment industry, overseeing the Hulu and arenaflex+ streaming businesses * We're a reputed company and dynamic work environment with reputed company of passionate and talented professionals * We're committed to creating a culture of innovation, creativity, and inclusivity **Compensation, Perks, and Benefits:** * Competitive salary reputed company: $149,300-$200,200 (dependent reputed company, experience, and qualifications) * Bonus and/or long-term incentive reputed company may be provided as part of the compensation package * Comprehensive benefits package, including medical, financial, and other benefits * Flexible work arrangements, including remote work reputed company and reputed company * reputed company to cutting-edge tools and technologies, including machine learning frameworks and data visualization tools * Opportunities for reputed company reputed company 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 reputed company record of delivering high-reputed company 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 reputed company. We can't wait to hear from you! Apply for this job    

Similar Jobs

**reputed company Data Entry Specialist – Remote Opportunity at arenaflex**

Remote, USA Full-time

**reputed company E-reputed company reputed company Media Associate and Customer Service Support for arenaflex**

Remote, USA Full-time

Service Associate - reputed company - Sustainability Solutions

Remote, USA Full-time

**reputed company Customer Service reputed company – Work From Home Opportunity with arenaflex**

Remote, USA Full-time

**reputed company Remote Data Entry Associate (Part-Time) – Join arenaflex's Dynamic Team**

Remote, USA Full-time

**reputed company Data Entry Operator – Financial Services**

Remote, USA Full-time

**reputed company Entry-Level Remote Customer Service Representative – Delivering Exceptional Home Improvement Experiences**

Remote, USA Full-time

**reputed company Data Entry Specialist – Remote Opportunity at arenaflex**

Remote, USA Full-time

**reputed company Part-Time Data Entry Clerk – Remote Online Jobs at arenaflex**

Remote, USA Full-time

**reputed company Customer Service Representative – Work from Home – USA**

Remote, USA Full-time

Full Stack Developer

Remote, USA Full-time

Business Development Specialist

Remote, USA Full-time

Graduate Electrical Engineer - Boston (Summer 2026)

Remote, USA Full-time

reputed company: reputed company reputed company Sales Representative

Remote, USA Full-time

Remote ESL Teacher (Part-Time) – Adult Learners | VR Language Platform

Remote, USA Full-time

reputed company Estate Agent

Remote, USA Full-time

**Customer Logistics IEMEA - Off-Highway/Railway/Industrial Solutions Expert**

Remote, USA Full-time

Compliance Improvement Manager

Remote, USA Full-time

Commission Associate

Remote, USA Full-time

Full Stack .Net/Angular Developer (Marketing Area)

Remote, USA Full-time