Role Overview
Join our data science team to drive innovation and insights through advanced analytics, experimentation, and strategic communication. You'll help shape data-driven decisions in a dynamic environment.
Key Responsibilities
- Data Insight Development: Investigate complex datasets to extract trends and key relationships, utilizing visual tools to communicate findings effectively.
- Model Construction & Optimization: Design and deploy machine learning algorithms to forecast business metrics and enhance operational efficiency.
- Experimental Design: Construct and manage experiments to validate predictive models and inform business strategies.
- Insight Communication: Translate analytical results into actionable recommendations for cross-functional stakeholders.
Minimum Qualifications
- Professional Experience: At least 3 years working in high-velocity sectors like finance or similar industries.
- Coding Expertise: Proficient in Python and R; experienced with core libraries such as Pandas, scikit-learn, and TensorFlow.
- Visualization Skills: Adept at building data dashboards and visual narratives using platforms like Tableau.
- Statistical Fluency: Deep knowledge of statistical techniques and their real-world applications.
- Database Mastery: Skilled in writing and optimizing complex SQL queries for data extraction and transformation.
Preferred Qualifications
- Cloud Familiarity: Exposure to environments like Google Cloud Platform (GCP).
- Big Data Acumen: Experience with distributed computing tools such as Apache Spark and Kafka.
- Pipeline Design: Understanding of data ingestion frameworks and ETL best practices.