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

At arenaflex, we're on a mission to revolutionize the way we understand and interact with our audiences. As a leader in the entertainment industry, we're constantly pushing the boundaries of innovation and creativity. Our team of data scientists plays a critical role in empowering our decision-makers with insights, predictions, and visualizations that shape the stories of millions of customers worldwide. We're seeking an experienced full stack data scientist to join our Ads Data Solution Research team, where you'll partner closely with cross-functional business partners to develop models for tackling complex challenges. If you have a passion for deep analytical and modeling expertise, a proven track record of concept management, and a desire to drive impact, we want to hear from you.

About arenaflex

arenaflex is a global leader in entertainment, media, and consumer products. Our company is built on a rich legacy of innovation and creativity, with a commitment to delivering exceptional experiences to our customers. We're proud to be a part of the arenaflex family, where our team members are empowered to think creatively, take risks, and push the boundaries of what's possible.

Job Responsibilities

As a lead data scientist in our Ads Data Solution Research team, you'll be responsible for:

• Modeling: Design, build, and enhance machine learning models to drive business outcomes. Work closely with engineering to produce models that meet business requirements.
• Deep analysis: Develop a deep understanding of audience, brand, and ad operational data systems and metrics. Mine large datasets to identify opportunities for revenue growth, viewer ad experience, and subscriber acquisition and retention.
• Visualization of complex data units: 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 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)

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 platforms 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 a fast-changing environment 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 entertainment, media, and consumer products
• Collaborative and dynamic 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'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, cover letter, and any relevant work samples to our application portal.

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