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 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 that drive business growth and inform strategic decisions.
About arenaflex
arenaflex is a world-renowned entertainment, media, and technology company that has been a leader in innovation and creativity for over nine decades. With a rich history of storytelling and a passion for bringing people together, arenaflex has grown into a global brand with a diverse portfolio of businesses, including film and television production, theme parks, resorts, and consumer products. Our commitment to innovation and technology has enabled us to stay ahead of the curve, and we continue to push the boundaries of what is possible.
About the Role
As a Lead Data Scientist in our Ads Data Solution Research team, you will be working closely with cross-functional teams, including Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering, to develop and implement data-driven solutions that drive revenue growth, improve customer engagement, and enhance operational efficiency. Your expertise in data modeling, statistical analysis, and data visualization will be instrumental in helping us make informed decisions and drive business outcomes.
Key Responsibilities
* Design, build, and enhance data models that drive business growth and inform strategic decisions
- Collaborate with engineering teams to develop and implement data-driven solutions
- Drive experimentation to test the impact of data-driven solutions on business outcomes
- Develop and maintain deep insights into audience, brand, and ad operational data systems and metrics
- Visualize complex data units to communicate actionable insights to both technical and non-technical audiences
- Partner with business stakeholders to identify and unlock opportunities for growth and improvement
- Stay up-to-date with emerging trends and technologies in data science and analytics
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-paced environment with shifting priorities
- Strong communication skills, both technical and non-technical audiences
- Ability to manage 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 of $25-45/hour
- Opportunity to work with a global leader in entertainment, media, and technology
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Comprehensive benefits package, including health, dental, and vision insurance
- Generous paid time off and holidays
- Access to cutting-edge technology and tools
- Flexible work arrangements, including remote work options
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!
About arenaflex's Commitment to Diversity and Inclusion
arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and diverse work environment that reflects the communities we serve. We believe that diversity and inclusion are essential to our success and are committed to providing equal opportunities for all employees, regardless of their background, culture, or identity.
About arenaflex's Commitment to Accessibility
arenaflex is committed to providing a barrier-free and accessible work environment for all employees. We are committed to providing reasonable accommodations for employees with disabilities and ensuring that our workplace is accessible and inclusive for all.
About arenaflex's Commitment to Sustainability
arenaflex is committed to reducing our environmental impact and promoting sustainability in all aspects of our business. We are committed to reducing our carbon footprint, conserving natural resources, and promoting sustainable practices throughout our operations.
About arenaflex's Commitment to Community
arenaflex is committed to giving back to the communities we serve. We are committed to promoting social responsibility, supporting local charities, and engaging in community outreach and development initiatives.
Join arenaflex Today!
If you are passionate about data science, analytics, and innovation, and are looking for a new challenge, please submit your application to join our team today! Apply for this job