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Data Science Expert

3 weeks ago

Singapore beBeeData Full time $80,000 - $120,000

You are invited to contribute your expertise as a Data Science Expert with our team in Bangalore.

In this key role, you will be instrumental in driving informed decision-making across the organization. Your responsibilities will include collaborating with stakeholders to understand their needs and designing data-driven solutions.

Key tasks involve developing machine learning models, conducting comprehensive data analysis, and creating predictive models to support business operations.

You will work closely with team members and stakeholders to comprehend their requirements and design solutions based on collaboration and guidance.

An essential part of your role is conducting research to explore new methods and techniques to enhance existing models.

Creatively visualizing data insights for effective communication will also be a crucial aspect of your position.

Your duties will involve ensuring data quality throughout all stages of acquisition and processing, including cleaning, normalization, and transformation.

A clear and coherent communication style, both verbally and in writing, is vital for understanding data requirements and reporting results effectively.

This hybrid role requires a balance between remote work and office attendance, which will be confirmed by your hiring manager.


Basic Qualifications:
  • At least 1 year of relevant work experience with a Bachelors Degree or an Advanced degree (e.g. Masters, MBA, JD, MD)

Preferred Qualifications:
  • Years of work experience with a Bachelors Degree or an Advanced Degree (e.g.

    Masters, MBA, JD, MD) in data science, machine learning, AI, or a related field

  • Proficiency in Python, R, SQL, and other data science tools
  • Familiarity with big data platforms like Hadoop, Spark, or similar technologies
  • Knowledge of Large Language Models such as OpenAI's GPT-3 and open-source models like Falcon or Llama
  • Proficiency in Machine Learning Operations (MLOps), including deployment and maintenance of machine learning models
  • Excellent problem-solving skills and critical thinking ability
  • Strong communication skills to convey messages effectively to team members and stakeholders
  • Knowledge of cloud platforms like AWS, GCP, or Azure is a plus
  • Familiarity with data visualization tools like Tableau, PowerBI, or similar
  • Ability to work both in a team and independently as needed
  • Knowledge of containerization technologies like Docker or Kubernetes