Remotehey

About Our Client

This innovative Global Technology based company is looking for a Data Scientist for a full time/permanent position which is fully remote.

Responsibilities

• Develop and refine advanced machine learning models and algorithms to optimize
  
  

bidding strategies

• Analyze data from Google Ad Manager and other SSPs to understand market
  
  

dynamics and identify revenue maximization opportunities

• Design and evaluate different pricing rules and their impact to network yield
• Work on predictive models to forecast user engagement and other relevant metrics
• Collaborate with the ad engineering team to integrate data science insights into
  
  

existing platforms

• Continuously monitor model performance and fine-tune as needed
• Stay updated with the latest trends and technologies in the AdTech space
• Ensure data integrity and compliance with federal, state-level, sector-specific and
  
  

GDPR data protection regulations.

Requirements

• Bachelor’s or Master’s degree in Data Science, Software Engineering, Computer
  
  

Science, Statistics or other scientific or quantitative fields

• 3+ years of experience in a data science role within the AdTech domain. The ideal
  
  

candidate should have a proven track record of analyzing complex and diverse

datasets, particularly those derived from header bidding processes, Google Ad

Manager, and comparable ad serving platforms. This experience should include a

deep understanding of the nuances and dynamics of online advertising data, as well

as a demonstrated ability to extract actionable insights from these datasets to drive

revenue optimization

• Experience in A/B testing for pricing optimization
• Strong knowledge of data science frameworks, machine learning, statistical
  
  

modeling and data mining techniques

• Proven experience with SQL in any flavor (MySQL, PostgreSQL, Microsoft SQL
  
  

Server, SnowSQL, etc.) with proficiency in writing complex queries for data

manipulation and analysis

• Proven technical knowledge in a data-focused programming language, such as R,
  
  

Python or Julia

• Expertise in AWS cloud services specific to Storage (S3, EFS, etc.), Databases
  
  

(RDS, Redshift, etc.), Analytics (Athena, AWS Glue, etc.), Machine Learning

(Sagemaker, Forecast, etc.), and Compute (EC2, Lambda, etc.) or equivalent

services on other cloud platforms such as Azure or GCP

• Deep experience with supervised and unsupervised machine learning frameworks
  
  

and statistical modeling techniques

• Experience with big data technologies and tools such as Apache Hadoop, Apache
  
  

Spark, Apache Hive, Rapidminer, or Elasticsearch

• Familiar with software engineering best practices such as unit testing, code reviews,
  
  

design, and documentation

• Ability to present data and analytical findings effectively to both technical and
  
  

non-technical audiences