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

Are you a highly skilled data scientist with a passion for driving business impact through data-driven insights? Do you thrive in a fast-paced, collaborative environment where you can leverage your expertise to tackle complex challenges? Look no further than arenaflex, a leading entertainment and media company, where you can join our Ads Data Solution Research team as a Lead Data Scientist.

About arenaflex

arenaflex is a global leader in the entertainment and media industry, 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're committed to pushing the boundaries of storytelling, technology, and customer experience, and we're looking for talented individuals like you to help us achieve our goals.

Job Summary

As a Lead Data Scientist in our Ads Data Solution Research team, you'll be responsible for designing, building, and enhancing data models that drive business impact across our organization. You'll work closely with cross-functional teams, including Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering, to develop predictive models, statistical analyses, and data visualizations that inform business decisions. If you're a seasoned data scientist with a passion for driving business impact, we want to hear from you.

Key Responsibilities

* Design, build, and enhance data models that drive business impact across our organization

• Collaborate with engineering teams to produce models that meet business requirements
• Drive experimentation to test the effect of models on total optimization
• Develop deep insights on audience, brand, and ad operational data systems and metrics
• Mine large data sets to identify opportunities for revenue growth, viewer ad experience, and subscriber acquisition and retention
• Develop prototype solutions, mathematical models, algorithms, and strong analytics leading to actionable insights communicated clearly and visually
• Partner 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

What You'll Bring

* 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, superior level of data knowledge
• Excellent communication skills, both technical and non-technical
• Ability to manage multiple priorities simultaneously and in a timely manner, including large and complex ones
• Demonstrated management experience, including people and project management

Nice-to-Haves

* Doctorate's degree in a quantitative field

• Strong knowledge with 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

What We Offer

* Competitive salary range: $25-45/Hour

• Opportunity to work with a leading entertainment and media company
• Collaborative and dynamic work environment
• Professional development opportunities, including training and mentorship
• 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 highly skilled data scientist with a passion for driving business impact, we want to hear from you. Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you!

About arenaflex

arenaflex is an equal opportunity employer committed to diversity and inclusion. We welcome applications from qualified candidates of all backgrounds and perspectives. Apply for this job