Data Science Professional

2 days ago


Surat, Gujarat, India beBeeDataScientist Full time ₹ 18,00,000 - ₹ 24,00,000
Data Scientist Role

We are seeking a skilled Data Scientist to join our team. As a key member, you will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights.

  • Design, develop, and deploy machine learning models with a strong focus on NLP and other AI applications.
  • Build, maintain, and optimize 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.

Required Skills & Qualifications:

  • A minimum of 1-4 years of hands-on 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 Natural Language Processing techniques, including advanced models and familiarity with Generative AI concepts and applications.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.

Benefits:

  • A dynamic and diverse work environment.
  • Opportunities to learn, share, and grow professionally.
  • A chance to work with cross-functional teams to understand business requirements and deliver data-driven solutions.

Further Information:

  • Familiarity and hands-on experience 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 like Power BI and building web applications with Streamlit.
  • Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
  • Knowledge of data warehousing concepts and schema design.
  • Experience in designing and building ETL pipelines.


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