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

**Unlock the Power of Data Science at arenaflex** Are you a seasoned data scientist with a passion for driving business growth through data-driven insights? Do you thrive in a fast-paced environment where no two days are the same? Look no further than arenaflex, where our team of innovative data scientists is shaping the future of entertainment, media, and technology. **About arenaflex** arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our mission is to inspire and delight audiences around the world through our iconic brands, including Disney, Hulu, and ESPN+. As a data scientist at arenaflex, you'll be part of a dynamic team that's pushing the boundaries of what's possible with data. **Job Summary** We're seeking an experienced full stack data scientist to join our Ads Data Solutions Research team. As a lead data scientist, you'll partner closely with cross-functional teams to design, build, and enhance data models that drive business growth and revenue. You'll work on a wide range of exciting projects, from revenue forecasting and inventory management to customer lifetime value estimation and fraud prevention. **Key Responsibilities** * Design, build, and enhance data models to drive business growth and revenue * Collaborate with engineering teams to produce high-quality data models * Drive experimentation to test the impact of data-driven decisions on business outcomes * Develop deep insights into audience, brand, and ad operational data systems and metrics * Visualize complex data units to communicate actionable insights to non-technical stakeholders * Partner with business stakeholders to identify and unlock new opportunities * Work closely with other data teams to enhance platform capabilities around data modeling, visualization, experimentation, and 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 * Demonstrated skills in choosing the right statistical tools given a data analysis problem * Ability to adapt quickly in a fast-changing environment with shifting priorities * Strong communication skills, both technical and non-technical * Ability to handle 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 on exciting projects that drive business growth and revenue * Collaborative and dynamic work environment with a talented team of data scientists * Professional development opportunities to enhance your skills and knowledge * Flexible work arrangements, including remote work options * Comprehensive benefits package, including health insurance, retirement plan, and paid time off **How to Apply** If you're a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you! Apply Now! Apply for this job