
AI Driven Business Growth Specialist
6 days ago
Are you a data enthusiast looking for a challenging role that involves applying machine learning algorithms to drive business growth?
We are seeking an experienced Data Scientist to join our dynamic team. As a key member of the team, you will be responsible for developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights.
- We take pride in our people and strive to enable them to realize their goals by providing opportunities to learn, share, and grow.
- Design, develop, and deploy machine learning models with a strong focus on natural language processing (NLP) and other AI applications.
- Build, maintain, and optimize extract, transform, and load (ETL) pipelines for automated data ingestion, transformation, and standardization from various sources.
- Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.
- Develop solutions using Python and relevant data science libraries (Pandas, NumPy, Hugging Face Transformers, etc.).
- Utilize Google Cloud Platform services for data storage, processing, and model deployment.
- Create and maintain interactive dashboards and reporting tools to present insights to stakeholders.
- Apply basic Docker concepts for containerization and deployment of applications.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- A minimum of one year of experience as a Data Scientist or in a similar role.
- Solid understanding of machine learning fundamentals, algorithms, and best practices.
- Proficiency in Python and relevant data science libraries.
- Good SQL skills for complex querying and data manipulation.
- Demonstrable experience with NLP techniques, including advanced models and familiarity with Generative AI concepts and applications.
- Excellent problem-solving and analytical skills.
- Familiarity with Google Cloud Platform services, especially BigQuery, Cloud Functions, and Vertex AI.
- Basic understanding of Docker and containerization for deploying applications.
- Experience with dashboarding tools and building web applications.
- Experience with web scraping tools and techniques.
- Knowledge of data warehousing concepts and schema design.
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