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 insights that drive business growth and customer engagement worldwide.
About arenaflex
arenaflex is a global leader in the entertainment industry, renowned for its rich history, beloved brands, and innovative storytelling. With a diverse range of businesses, including film and television production, theme parks, resorts, and consumer products, arenaflex is constantly pushing the boundaries of creativity and technology. Our Ads Data Solutions Research team is at the forefront of this innovation, harnessing the power of data science to inform business decisions and drive growth.
Job Summary
We are seeking an experienced Lead Data Scientist to join our Ads Data Solutions Research team. As a key member of this team, you will partner closely with cross-functional business stakeholders to develop and deploy data-driven solutions that drive revenue growth, improve customer engagement, and optimize business operations. You will design, build, and enhance machine learning models, collaborate with engineering teams to produce scalable and efficient solutions, and drive experimentation to validate model performance.
Key Responsibilities
* Modeling: Design, build, and enhance machine learning models to solve complex business problems, including revenue forecasting, inventory management, delivery optimization, and customer lifetime value estimation.
- Deep Analysis: Develop comprehensive insights on audience, brand, and ad operational data systems and metrics, identifying opportunities for revenue growth, viewer engagement, and subscriber acquisition and retention.
- Visualization of Complex Data: Develop prototype solutions, mathematical models, algorithms, and strong analytics leading to actionable insights communicated 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 including sci-kit-learn, SciPy
- Familiarity with Bayesian modeling and probabilistic programming applications including PyMC
- Familiarity with data structures and programs including Databricks, Jupyter, Snowflake, Airflow, Github
- Familiarity with data exploration and data visualization tools including 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 range: $25-45/Hour
- Opportunity to work with a global leader in the entertainment industry
- Collaborative and innovative 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 are a motivated and experienced data scientist looking to join a dynamic and innovative team, please submit your application, including your resume and a cover letter, to [arenaflex Careers Page](arenaflex.com/careers). We look forward to hearing from you! Apply for this job