Back
Mid-level, popular Data Scientist role with generalist ML and analytics requirements attracting many qualified applicants.
Core ML and analytics skills are broadly transferable, though digital-marketing focus adds moderate domain specificity.
Explicit 2–3 years requirement plus mandatory ML and Python/R skills increases shortlisting rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Apply machine learning, data mining, and statistical analysis to develop AI engine and analytical models.
Collaborate with business partners to define problems, test hypotheses, and translate insights into business solutions in digital marketing and product management.
Design, implement, and monitor data models; support cross-functional teams to integrate and maintain model performance and data accuracy.
Master's or PhD degree in Computer Science, Electronics, Computer Applications, Economics, Statistics, Mathematics, or related technical discipline.
2-3 years experience in statistical and/or data science or data analysis roles involving machine learning and data mining.
Proficient in R or Python; BI tool experience (Tableau, Power BI) is a plus.
Ability to work in Agile environments with multiple stakeholders.
Experienced in integrating and transforming diverse internal and external datasets to create features for analytical models.
Skilled at applying advanced statistical methods and A/B testing frameworks to validate models and provide actionable business insights.
Capable of mentoring/coaching team members and collaborating effectively with business partners in fast-paced, multi-stakeholder Agile settings.