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

Are you a data enthusiast 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! arenaflex is seeking an experienced Full Stack Data Scientist to join our Ads Data Solutions Research team in California, USA. As a key member of our team, you will have the opportunity to work on a wide range of exciting projects, from revenue forecasting to customer lifetime value estimation.

About arenaflex

arenaflex is a leading entertainment and media conglomerate that has been a household name for generations. With a rich history of innovation and creativity, we continue to push the boundaries of what is possible in the world of entertainment. Our Ads Data Solutions Research team is at the forefront of this innovation, using data science and machine learning to drive business growth and improve customer experiences.

Job Responsibilities

As a Full Stack Data Scientist on our Ads Data Solutions Research team, you will be responsible for designing, building, and enhancing data models to drive business growth and improve customer experiences. Your key responsibilities will include:

• Modeling: Design, build, and enhance data models to drive business growth and improve customer experiences. Work closely with engineering teams 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 data sets to identify opportunities for revenue growth, viewer ad experience, and subscriber acquisition and retention.
• Visualization of Complex Data Sets: 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

To be successful in this role, you will need to bring the following skills and experience:

• 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 work in a fast-paced environment with shifting priorities
• Strong project management skills, including human and project management

Nice-to-Haves

While not required, the following skills and experience would be a plus:

• Doctorate's degree in a quantitative field
• 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 manage multiple tasks simultaneously and in a timely manner, including large and complex ones
• Demonstrated management experience, including human and project management

What We Offer

As a Full Stack Data Scientist at arenaflex, you will have the opportunity to work on a wide range of exciting projects, from revenue forecasting to customer lifetime value estimation. You will also have access to a range of benefits, including:

• Competitive salary: $25-45/Hour
• Comprehensive health insurance
• 401(k) matching program
• Flexible work arrangements, including remote work options
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

How to Apply

If you are 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 for this role. We look forward to hearing from you!

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