Experienced Lead Data Scientist – 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 understand and interact with our audiences. As a Lead Data Scientist in our Ads Data Solution Research team, you will play a pivotal role in shaping the future of our business by leveraging your expertise in data modeling, statistical analysis, and machine learning to drive business growth and innovation.
About arenaflex
arenaflex is a global leader in entertainment, media, and technology, with a rich history of innovation and creativity. Our company is home to some of the most beloved brands in the world, including Disney, Hulu, and ESPN+. We are committed to pushing the boundaries of what is possible and creating new experiences that delight and inspire our audiences.
Job Summary
We are seeking an experienced Lead Data Scientist to join our Ads Data Solution Research team. As a Lead Data Scientist, you will be responsible for designing, building, and enhancing data models to drive business growth and innovation. You will work closely with cross-functional teams, including Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering, to develop and deploy data-driven solutions that address complex business challenges.
Key Responsibilities
* Design, build, and enhance data models to drive business growth and innovation
- Collaborate with engineering teams to produce high-quality data models
- Drive experimentation to test the impact of data-driven solutions 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 stakeholders
- Partner with business stakeholders to identify and unlock opportunities for growth and innovation
- Develop and maintain expertise in data modeling, statistical analysis, and machine learning
- Stay up-to-date with industry trends and emerging technologies to inform data-driven solutions
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)
- Strong analytical skills and a high level of data literacy
- Excellent communication skills, both technical and non-technical
Nice-to-Haves
* Doctorate's degree in a quantitative field
- 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 experience in designing and reading A/B testing and other test types
- Ability to adapt quickly in a fast-paced environment with shifting priorities
- Strong leadership experience, including people and project management
What We Offer
* Competitive salary range: $25-45/Hour
- Opportunity to work with a global leader in entertainment, media, and technology
- Collaborative and dynamic work environment
- Comprehensive benefits package, including health insurance, retirement plan, and paid time off
- Professional development opportunities, including training and education programs
- Flexible work arrangements, including remote work options
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://www.arenaflex.com/careers). We look forward to hearing from you! Apply for this job