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:\xe2\x97\x8f Develop and refine advanced machine learning models and algorithms to optimize
bidding strategies
\xe2\x97\x8f Analyze data from Google Ad Manager and other SSPs to understand market
dynamics and identify revenue maximization opportunities
\xe2\x97\x8f Design and evaluate different pricing rules and their impact to network yield
\xe2\x97\x8f Work on predictive models to forecast user engagement and other relevant metrics
\xe2\x97\x8f Collaborate with the ad engineering team to integrate data science insights into
existing platforms
\xe2\x97\x8f Continuously monitor model performance and fine-tune as needed
\xe2\x97\x8f Stay updated with the latest trends and technologies in the AdTech space
\xe2\x97\x8f Ensure data integrity and compliance with federal, state-level, sector-specific and
GDPR data protection regulations.Requirements:\xe2\x97\x8f 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
\xe2\x97\x8f 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
\xe2\x97\x8f Experience in A/B testing for pricing optimization
\xe2\x97\x8f Strong knowledge of data science frameworks, machine learning, statistical
modeling and data mining techniques
\xe2\x97\x8f 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
\xe2\x97\x8f Proven technical knowledge in a data-focused programming language, such as R,
Python or Julia
\xe2\x97\x8f 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
\xe2\x97\x8f Deep experience with supervised and unsupervised machine learning frameworks
and statistical modeling techniques
\xe2\x97\x8f Experience with big data technologies and tools such as Apache Hadoop, Apache
Spark, Apache Hive, Rapidminer, or Elasticsearch
\xe2\x97\x8f Familiar with software engineering best practices such as unit testing, code reviews,
design, and documentation
\xe2\x97\x8f Ability to present data and analytical findings effectively to both technical and
non-technical audiences

Recruiting in Motion