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Data Scientist: Predictive Analytics & Data Pipelines Lead
Job summary
A growing firm is seeking a talented Data Scientist to manage advanced analytics initiatives and develop predictive models leveraging tools like Spark, Python, and BigQuery. You'll play a key role in guiding data-driven strategies across ecommerce and digital marketing sectors. Ideal candidates will have 3–5 years of experience and proficiency in data modeling and pipeline construction. Join us and help turn data into actionable insights and strategies.
Qualifications
- 3–5 years of experience in Data Science / Predictive Analytics.
- Proficient in Python (Pandas, scikit-learn, NumPy) and SQL.
- Hands-on experience with Spark, Airflow, and Git.
Responsibilities
- Build and deploy predictive models for forecasting and segmentation.
- Develop and maintain data pipelines using Spark, Python, and Airflow.
- Create dashboards and visual reports using Looker Studio, Tableau, or Power BI.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.