Senior Data Scientist
Senior Data Scientist
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Job Description
Design and develop scalable machine learning (ML) models and data-driven solutions for real-time decision-making and campaign optimization
Translate complex business problems into analytical tasks and actionable insights
Develop deploy and maintain production-grade ML pipelines in a cloud environment
Apply advanced statistical techniques to improve targeting bidding and performance measurement
Drive experimentation and research to continuously enhance modeling approaches
Collaborate with the Engineering Product and Analytics teams to integrate models into production systems
Stay updated on industry trends and contribute to innovation and thought leadership
Qualifications :
At least 4years of experience applying machine learning statistical modeling and data mining techniques to real-world business problems
Strong programming skills in Python and/or R
Solid understanding of machine learning algorithms their applications and statistical principles
Experience building and productionizing data pipelines and ML models in cloud environments preferably AWS
Hands-on experience working with large-scale data using PySpark or SparkR
Proficient in SQL and experienced with Excel for data analysis and reporting
Ability to measure the business impact of ML models using proper evaluation frameworks
Familiarity with version control systems and agile development practices
At least Upper-Intermediate level of English
Additional Information :
PERSONAL PROFILE
Excellent communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams and stakeholders
Strong problem-solving and decision-making skills with a focus on driving results and meeting deadlines
Self-motivated adaptable and eager to learn new technologies and frameworks
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
