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

**Join arenaflex's innovative team as a Lead Data Scientist in Ads Data Solution Research, where you'll have the opportunity to drive business growth, develop cutting-edge models, and collaborate with cross-functional teams to tackle complex challenges.** **About arenaflex** arenaflex is a global leader in the entertainment industry, known for its iconic brands, innovative storytelling, and commitment to excellence. As a data scientist at arenaflex, you'll be part of a dynamic team that leverages data to inform business decisions, drive revenue growth, and enhance customer experiences. Our team is passionate about using data to tell stories, drive innovation, and create value for our stakeholders. **Job Summary** We're seeking an experienced Lead Data Scientist to join our Ads Data Solution Research team. As a key member of this team, you'll partner closely with Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering groups to develop and deploy data-driven solutions that drive business growth and revenue. You'll design, build, and enhance machine learning models, collaborate with engineering teams to produce scalable and efficient solutions, and drive experimentation to optimize model performance. **Key Responsibilities** * **Modeling**: Design, build, and enhance machine learning models to tackle complex business challenges, including revenue, inventory, delivery, outcome, pricing, customer lifetime value estimation, forecasting, fraud prevention, and more. * **Deep Analysis**: Develop comprehensive insights on audience, brand, and ad operational data systems and metrics, and mine large datasets to identify opportunities for revenue growth, viewer ad experience, and subscriber acquisition and retention. * **Visualization of Complex Data**: Develop prototype solutions, mathematical models, algorithms, and strong analytics to communicate actionable insights clearly and visually. * **Partnership**: Collaborate 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 of Python and libraries such as sci-kit-learn, SciPy * Familiarity with Bayesian modeling and probabilistic programming applications such as PyMC * Familiarity with data structures and programs such as Databricks, Jupyter, Snowflake, Airflow, Github * Familiarity with data exploration and data visualization tools such as 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, 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: $25-45/Hour * Opportunity to work with a global leader in the entertainment industry * Collaborative and dynamic work environment * Professional development and growth opportunities * Comprehensive benefits package, including health insurance, retirement plan, and paid time off * Flexible work arrangements, including remote work options **How to Apply** If you're a motivated and experienced data scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [arenaflex careers page]( We can't wait to hear from you! Apply for this job