Experienced Full Stack Data Scientist – Ads Data Solutions Research at arenaflex
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! Apply for this job