Data Modeling Expert
Há 6 horas
Role Overview
We are seeking a highly skilled Data Modeling Expert to join our team at Sensor Tower Inc. This role will play a critical part in driving strategies that improve the accuracy and offerings for our Digital Marketing insights solution.
About Sensor Tower
Sensor Tower cultivates responsibly sourced market intelligence that provides visibility into the trends shaping the global digital economy.
Responsibilities
- Execute on the development of data modeling algorithms with a focus on analyzing large sets of data, building models, ensuring data accuracy, reliability, and consistency.
- Develop, refine, and bring data models to production. This role will work on models that are consumed by our end users, building internal tools, and one-time reports as well as working on the actual product that our users consume and rely on every day.
- Consult on the use of AI to improve workflows for data extraction and classification.
- Embrace a quick build, measure, and iterate cycle to bring products to market and work alongside world-class engineers and data scientists.
- Act as a subject matter expert for our digital advertising.
Requirements
- Degree in Mathematics/Statistics/Computer Science or a related engineering/technical or quantitative field.
- Min 4 years of experience as a Data Scientist in the ad-tech/mar-tech or data analytics companies, including experience in business intelligence, data mining, analytics, and statistical modeling disciplines, analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates, and leadership, implementing machine learning algorithms, working end-to-end on machine learning pipelines in production, data engineering working on ETL pipelines, crawling APIs and websites, and automating outputs (report generation, workflow automation, Google Sheet interaction), setting and meeting detailed timelines and expectations while executing projects, developing projects in a resilient way that anticipates future changes and interaction with other parts of the product, data research, identifying the necessary edge cases that need to be tested in order to fully understand the data, programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies, using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense, or Tableau.
Benefits
- Flexible time off so employees can shape their time away from work.
- Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
- Monthly internet stipend and a one-time $500 home office stipend.
Why Choose Us?
We offer a unique opportunity to work with talented, experienced, and friendly colleagues, solving innovative data collection and processing problems at scale. We serve small, independent, and Fortune 1000 customers alike, spanning the mobile games, travel & hospitality, music, finance, CPG, and broadcast entertainment markets. Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love.
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