**Experienced Full Stack Data Scientist – Lead Ads Data Solutions Research at arenaflex**

**Join arenaflex, a global leader in entertainment, media, and technology, as we embark on an exciting journey to revolutionize the way we create and deliver content to our audiences worldwide.** **About arenaflex** arenaflex is a renowned entertainment and media conglomerate that has been a leader in the industry for over nine decades. With a rich history of innovation and creativity, we have established ourselves as a global brand with a presence in over 50 countries. Our mission is to entertain, inform, and inspire our audiences through our diverse range of products and services, including film and television production, publishing, broadcasting, and digital media. **About the Role** We are seeking an experienced and highly skilled Full Stack Data Scientist to join our Ads Data Solutions Research team as a Lead Data Scientist. As a key member of our team, you will be responsible for designing, building, and enhancing data models to drive business growth and revenue. You will work closely with cross-functional teams, including Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering, to develop and implement data-driven solutions that address complex business challenges. **Key Responsibilities** * Design, build, and enhance data models to drive business growth and revenue * Work stop to stop from data collection, feature engineering, and selection, model development, forecasting, visualization, and communication of model results * Collaborate with engineering to produce models and drive experimentation to test the effect of the model based on total optimization * Develop deep insights on audience, brand, and ad operational data systems and metrics * Mine large data sets to identify opportunities for using marketing and advertising revenue, viewer ad experience, and subscriber growth and retention * Develop prototype solutions, mathematical models, algorithms, and strong analytics leading to actionable insights communicated clearly and visually * Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to enhance platform capabilities around data modeling, data visualization, experimentation, and data architecture **Essential Qualifications** * Master's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics) * 7+ years of experience designing, building, and comparing realistic systems knowledge solutions * 7+ years of experience with statistical programming languages (e.g. Python, Spark, PySpark) and database languages (e.g. SQL) **Nice-to-Haves** * Doctorate's degree in a quantitative field * Excellent analytical skills, superior level of data knowledge * Strong knowledge with Python and libraries including sci-kit-learn, SciPy * Familiarity with Bayesian modeling and probabilistic programming applications including PyMC * Familiarity with data structures and programs including Databricks, Jupyter, Snowflake, Airflow, Github * Familiarity with data exploration and data visualization tools including Tableau, Looker * Familiarity with designing and reading A/B testing and other test types * Demonstrated skills in choosing the right statistical tools given a data analysis problem * Ability to adapt quickly in fast-changing environments with shifting priorities * Strong communication skills, for both technical and non-technical audiences * Ability to manage multiple tasks simultaneously and in a timely manner, including large and complex ones * Demonstrated management experience, including people and project management **What We Offer** * Competitive salary range of $25-45/hour * Opportunity to work with a global leader in entertainment, media, and technology * Collaborative and dynamic work environment * Opportunities for career growth and professional development * Comprehensive benefits package, including health insurance, retirement plan, and paid time off * Flexible work arrangements, including remote work options **How to Apply** If you are a highly motivated and experienced data scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [arenaflex careers website]. We look forward to hearing from you! **About arenaflex** arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive and respectful of all employees, and we strive to provide a work environment that is free from harassment and discrimination. **arenaflex is a global leader in entertainment, media, and technology, and we are proud to be a part of the communities we serve. We are committed to making a positive impact on the world around us, and we believe that our employees are the key to achieving this goal.** **Join us on this exciting journey and become a part of the arenaflex team!** Apply for this job