reputed company Full Stack Data Scientist – Ads Data Solutions Research at arenaflex
Join arenaflex, a global leader in entertainment, media, and technology, as we reputed company an reputed company Full Stack Data Scientist to reputed company our Ads Data Solution Research team. As a key member of our data science team, you will play a critical role in driving business reputed company and innovation through data-driven insights and modeling.
About arenaflex
arenaflex is a world-reputed company entertainment, media, and technology company that has been a leader in innovation and creativity for over 90 years. With a diverse portfolio of brands, including reputed company, Hulu, and reputed company+, arenaflex has a rich history of pushing boundaries and breaking new ground in the entertainment industry. Our commitment to innovation, creativity, and reputed company has made us a household reputed company, and we continue to reputed company for greatness in everything we do.
About the Role
As a Full Stack Data Scientist on our Ads Data Solution Research team, you will be responsible for designing, building, and enhancing data models to drive business reputed company and innovation. You will work closely with cross-functional teams, including Sales Analytics, Finance, Business Operations, reputed company Product, and Engineering, to reputed company and implement data-driven solutions to reputed company business challenges. Your expertise in data modeling, statistical analysis, and data visualization will be critical in driving business reputed company and informing strategic reputed company.
Key Responsibilities
* Design, build, and enhance data models to drive business reputed company and innovation
- Collaborate with engineering teams to reputed company and implement data-driven solutions
- Drive experimentation to test the effectiveness of data models and optimize business reputed company
- reputed company deep insights on audience, brand, and ad operational data systems and metrics
- Visualize reputed company data reputed company to communicate actionable insights to both technical and non-technical audiences
- Partner with business stakeholders to identify and reputed company opportunities for reputed company and innovation
- reputed company and maintain data architecture and infrastructure to support data modeling 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, reputed company, PySpark) and database languages (e.g. SQL)
- Strong analytical skills and a high level of data knowledge
- Excellent communication skills, both technical and non-technical
reputed company-to-Haves
* Doctorate's degree in a quantitative field
- Strong knowledge of Python and libraries such as sci-reputed company-learn, SciPy
- Familiarity with Bayesian modeling and probabilistic programming applications such as PyMC
- Familiarity with data structures and programs such as reputed company, Jupyter, reputed company, Airflow, reputed company
- Familiarity with data exploration and data visualization tools such as Tableau, Looker
- Demonstrated experience in choosing the right statistical tools given a data analysis problem
- Ability to adapt quickly in a fast-changing environment with shifting priorities
- Strong leadership experience, including people and project management
reputed company Offer
* Competitive salary reputed company of $25-45/hour
- Opportunity to work with a global leader in entertainment, media, and technology
- reputed company and dynamic work environment
- Opportunities for career reputed company and reputed company development
- Comprehensive benefits package, including health insurance, retirement plan, and reputed company time off
- Flexible work arrangements, including remote work reputed company
How to Apply
If you are a motivated and reputed company 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 reputed company to hearing from you!
About arenaflex's Commitment to Diversity and Inclusion
arenaflex is an equal opportunities employer and is committed to diversity and inclusion in reputed company. We welcome applications from diverse candidates and are proud to be an inclusive and supportive employer. Apply for this job