reputed company Full Stack Data Scientist – Ads Data Solutions Research at arenaflex
Unlock the Power of Data Science at arenaflex
Are you a seasoned data scientist with a passion for driving business reputed company through data-driven insights? Do you reputed company in a fast-paced environment where no two days are the reputed company? Look no reputed company than arenaflex, where reputed company of innovative data scientists is shaping the reputed company of entertainment, media, and technology.
About arenaflex
arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our mission is to reputed company and delight audiences around the world through our reputed company brands, including reputed company, Hulu, and reputed company+. As a data scientist at arenaflex, you'll be part of a dynamic team that's pushing the boundaries of what's possible with data.
Job reputed company
We're seeking an reputed company full stack data scientist to join our Ads Data Solutions Research team. As a reputed company data scientist, you'll partner closely with cross-functional teams to design, build, and enhance data models that drive business reputed company and reputed company. You'll work on a wide reputed company of exciting reputed company, from reputed company forecasting and inventory management to customer reputed company value estimation and fraud prevention.
Key Responsibilities
* Design, build, and enhance data models to drive business reputed company and reputed company
- Collaborate with engineering teams to produce high-reputed company data models
- Drive experimentation to test the reputed company of data-driven reputed company on business reputed company
- reputed company deep insights into audience, brand, and ad operational data systems and metrics
- Visualize reputed company data reputed company to communicate actionable insights to non-technical stakeholders
- Partner with business stakeholders to identify and unlock new opportunities
- Work closely with other data teams to enhance platform capabilities around data modeling, visualization, experimentation, and 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, reputed company, PySpark) and database languages (e.g., SQL)
reputed company-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-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 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
- Ability to handle multiple tasks simultaneously and in a reputed company manner, including large and reputed company ones
- Demonstrated management experience, including people and project management
reputed company Offer
* Competitive salary reputed company: $25-45/Hour
- Opportunity to work on exciting reputed company that drive business reputed company and reputed company
- reputed company and dynamic work environment with a talented team of data scientists
- reputed company development opportunities to enhance your skills and knowledge
- Flexible work arrangements, including remote work reputed company
- Comprehensive benefits package, including health insurance, retirement plan, and reputed company time off
How to Apply
If you're a motivated and reputed company 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. We can't wait to hear from you! reputed company! Apply for this job