
Unlock Business Growth as a Strategic Data Scientist
5 days ago
About the Role
We are currently seeking a highly skilled Data Scientist to spearhead innovation through data analysis. This key role is focused on developing and deploying cutting-edge machine learning models, driving product recommendations, and unlocking valuable customer insights that directly impact business growth.
Key Responsibilities:
- Develop and deploy sophisticated machine learning models to support product recommendations and personalization initiatives
- Create and implement data models with SQL to ensure clean, reliable, and scalable datasets for informed decision-making
- Analyze customer segmentation and forecasting use cases to enhance strategic decision-making
- Collaborate closely with cross-functional teams to translate business problems into actionable data solutions
- Leverage advanced tools like Snowflake and DBT for efficient data transformation and model building
- Present insights effectively to non-technical stakeholders to drive business outcomes
Required Skills and Qualifications:
- Strong proficiency in Python for data science and ML workflows, including experience with popular libraries and frameworks
- Experience in SQL for data modeling and querying, with expertise in creating efficient queries and optimizing database performance
- Thorough understanding of Machine Learning (supervised, unsupervised, recommendation systems) and ability to apply this knowledge in real-world scenarios
- Hands-on experience with PyTorch (or other ML frameworks), with a focus on building and deploying scalable models
- Familiarity with cloud-based platforms such as AWS or other cloud ML platforms
- Strong problem-solving and communication skills, with the ability to distill complex technical concepts into actionable insights
Preferred Background:
- 1–3 years of applied experience in Data Science / ML, with a portfolio of successful projects and implementations
- Prior experience in E-commerce, with a deep understanding of industry trends and challenges
- Exposure to agile development methodologies and collaboration with cross-functional teams
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