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

**Join arenaflex's innovative Ads Data Solutions Research team as a Lead Data Scientist and contribute to the development of cutting-edge models and solutions that drive business growth and customer engagement.** **About arenaflex** arenaflex is a world-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, arenaflex has established itself as a pioneer in the field of entertainment, media, and technology. Our commitment to excellence and our passion for storytelling have made us a household name, with a global presence that spans across multiple continents. **About the Role** As a Lead Data Scientist in our Ads Data Solutions Research team, you will play a critical role in driving business growth and customer engagement through the development of cutting-edge models and solutions. You will partner closely with cross-functional teams, including Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering, to design, build, and enhance models that tackle complex challenges such as revenue, inventory, delivery, outcome, pricing, customer lifetime value estimation, forecasting, fraud prevention, and more. **Key Responsibilities** * **Modeling**: Design, build, and enhance models using machine learning and statistical techniques. Work end-to-end from data collection, feature engineering, and model development to forecasting, visualization, and communication of model results. Collaborate with engineering teams to produce models that drive business growth. * **Deep Analysis**: Develop comprehensive insights on audience, brand, and ad operational data systems and metrics. Mine large datasets to identify opportunities for revenue growth, viewer ad experience, and subscriber acquisition and retention. * **Visualization of Complex Data Units**: Develop prototype solutions, mathematical models, algorithms, and strong analytics that lead to actionable insights communicated clearly and visually. * **Partnership**: 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. **What You'll Bring** * **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 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** of $25-45/Hour * **Opportunities for career growth and professional development** * **Collaborative and innovative work environment** * **Flexible work arrangements**, including remote work options * **Comprehensive benefits package**, including health insurance, retirement plan, and paid time off * **Access to cutting-edge technology and tools** * **Opportunities to work on high-impact projects** that drive business growth and customer engagement **How to Apply** If you are 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 Portal]( We look forward to hearing from you! Apply for this job