Experienced Full Stack Data Scientist – Web & Cloud Application Development
At arenaflex, we believe in the transformative power of innovation to improve people's lives. Everything we create is designed to empower individuals, including our advertising platform. We craft ads that benefit both users and advertisers – helping people find content, supporting creators, and safeguarding and respecting everyone's privacy. arenaflex Data Entry Remote Job.
Our technology enables advertising on the App Store, Apple News, Stocks, and Apple TV. We help developers and advertisers of all sizes drive app discovery across the App Store. Our presentation ads on Apple News and Stocks let sponsors promote their products alongside trusted brands in a brand-safe environment, while supporting publishers and writers. Sponsorship integrations and experiences in live games on Apple TV enable advertisers to connect with engaged audiences. Everything we do is guided by the unwavering commitment to privacy you expect from arenaflex. Because when advertising is done well, it benefits everyone. arenaflex Data Entry Remote Job.
The Advertising Platforms Information Experiences team at arenaflex is seeking a Machine Learning Data Researcher to join the Product and Customer Insights Group. The team is passionate about developing the next generation of analytical solutions working with Sales, Advertising, Finance, Product, and Designing. In this role, you will serve as a critical member of a data-driven team to drive the investigation, analysis, development, implementation, and evaluation of analytical solutions that are critical to driving the business. Responsibilities include turning the vast amounts of data generated by user searches, app content, and App Store settings into business insights that improve the user experience for the end-user as well as drive discovery and productivity for app developers. arenaflex Data Entry Remote Job.
Key Responsibilities:
* Experience in a data science role – ideally in the digital advertising industry as well as product analysis with hands-on experience working with clickstream data or potentially A/B testing.
* Ability to work seamlessly and effectively in a fast-paced, highly cross-functional, and continually evolving environment.
* Programming skills in Python and SQL, and experience with AWS, Snowflake, Tableau, and Power BI.
* Ability to convey the results of analyses in a clear and effective way with product and service teams to impact the overall strategy of the product.
* Ability to work ideally with design partners to meet the data needs of the business, translating business needs into analytical requirements.
* Experience in complex quantitative analysis including regression, clustering, segmentation, and time-series analysis.
* Open to working with current data technologies. Knowledge of database modeling and data warehousing principles.
* Useful experience with conducting experiments on large datasets.
Job Description:
A successful candidate will have deep experience with applied techniques (predictive modeling, classification, product feature influence estimation), experience building reporting dashboards, and utilizing those techniques and tools to drive key business insights. The role requires both a broad knowledge of existing data mining, competitive algorithms for business, and imagination to develop and tailor when necessary. Collaborate with a wide range of data experts as well as business leaders, focusing on projects where tools and methods are used to drive tangible business value. arenaflex Data Entry Remote Job.
Successful analysis teams include data researchers and data engineers working closely together to build informative and proficient solutions. In your role, you will be a key participant in a multi-functional team that delivers insights with direct and quantifiable impact. We're looking for a curious, collaborative, and diligent individual to join this amazing team. arenaflex Data Entry Remote Job.
Education and Experience:
Bachelor's degree in computer science, mathematics, or a related quantitative field with at least 6 years of professional experience. Advanced degrees in these fields are a plus.