**Join arenaflex, a global leader in entertainment, media, and technology, as we seek an exceptional Full Stack Data Scientist to lead our Ads Data Solution Research team. As a key member of our team, you will collaborate with cross-functional groups to design, build, and enhance data models, drive experimentation, and develop actionable insights that impact the stories of hundreds of thousands of customers worldwide.**
**About arenaflex**
arenaflex is a global leader in entertainment, media, and technology, with a rich history of innovation and creativity. Our mission is to inspire and entertain audiences around the world, and we are committed to using data and analytics to drive our decision-making and inform our creative processes. Our Ads Data Solution Research team is a critical part of this effort, working closely with our Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering groups to develop data-driven solutions that drive revenue, growth, and customer engagement.
**Job Summary**
We are seeking an experienced Full Stack Data Scientist to lead our Ads Data Solution Research team. As a key member of our team, you will be responsible for designing, building, and enhancing data models, driving experimentation, and developing actionable insights that impact our business. You will work closely with our cross-functional teams to identify opportunities for growth and improvement, and develop data-driven solutions that drive revenue, growth, and customer engagement.
**Key Responsibilities**
* **Modeling**: Design, build, and enhance data models to drive business outcomes, including revenue, inventory, delivery, outcome, pricing, and customer lifetime value estimation.
* **Deep Analysis**: Develop a deep understanding of audience, brand, and ad operational data systems and metrics, and mine large data sets to identify opportunities for growth and improvement.
* **Visualization of Complex Data**: Develop prototype solutions, mathematical models, algorithms, and strong analytics to communicate actionable insights clearly and visually.
* **Partnership**: Partner closely with business stakeholders to identify and develop opportunities, and with other data groups 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 responsibilities** 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 development** in a dynamic and innovative company
* **Collaborative and supportive work environment** with a diverse and talented team
* **Flexible work arrangements**, including remote work options
* **Comprehensive benefits package**, including health insurance, retirement savings, and paid time off
**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 Page](https://arenaflex.com/careers). We look forward to hearing from you!
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