Job Description

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\xc3\xa2\xc2\x80\xc2\x99s or Master\xc3\xa2\xc2\x80\xc2\x99s 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

Recruiting in Motion