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