Data Scientist - New York

Only for registered members New York, United States

13 hours ago

Default job background
$85,000 - $150,000 (USD) per year *
* This salary range is an estimation made by beBee
Dice is the leading career destination for tech experts at every stage of their careers. Our client, , is seeking the following. Apply via Dice today · Role : · Data Scientist - MTA · Location : 4 days in office, NYC,NY ( No WFH / No Hybrid) · 8+ years data engineering & data arc ...
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, , is seeking the following. Apply via Dice today

Role :
Data Scientist - MTA

Location : 4 days in office, NYC,NY ( No WFH / No Hybrid)

8+ years data engineering & data architecture experience of product management experience, at least 3 years in ad tech
Expertise in SQL, Python, ERD, Google Cloud Platform(All Google Cloud Platform services, Google Cloud Platform adapter, especially BigQuery, GCS, Cloud Function, Composer), DBT with active hands-on experience in the last 3~5 years
Possess the knowledge of Modern Data Technology released in the last 2~3 years
Good experience operating within AdSales system
Experience in MTA - Multi-touch attribution / MMModels - Media Mixed Modeling developed
Experience with Data scientists, Data analytics and engineering
Experience with OTT and media
Design and optimize conceptual and logical database models
Analyze system requirements, implementing data strategies, and ensuring the efficiency and security
Improve system performance by conducting tests, troubleshooting, and integrating new elements
In-depth understanding of database structure principles
Expertise in implementing and maintaining data pipelines
Deep knowledge of data mining and segmentation techniques
Gather data from multiple sources and prepare it for analysis.
Analyze large volumes of structured and unstructured data to identify trends and patterns.
Develop and predictive algorithms to solve business problems.
Use statistical techniques to validate findings and ensure accuracy.
Automate processes using and programming.
Create clear, engaging visualizations and reports to communicate results.
Work closely with different teams to apply data-driven insights.
Stay updated with the latest tools, technologies, and methods in data science


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