Data Science Engineer  

About The Role:

To apply data science techniques and machine learning algorithms to solve business problems, improve decision-making, and ensure the efficient deployment of models in production.

What Will You Do:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Analyzing the ML algorithms that could be used to solve a given problem
• Exploring and visualizing data to gain an understanding of it
• Identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, andoror ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining validation strategies
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

What we are looking for:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.
• 4+ years of experience in data science, machine learning, or related fields.
• Data Science or Machine Learning certifications (e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist).
• Experience with specific data science platforms (e.g., AWS Sagemaker, Google AI Platform) is a plus.
• Willing to work in Jakarta Office
  

  Technical Skill Requirements:

• Proficiency in data science tools and languages (Python, R, SQL).
• Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of data processing, feature engineering, and model validation techniques.
• Experience with cloud platforms (e.g., AWS, GCP) and deployment of models to production.

Soft Skill Requirements:

• Strong problem-solving and analytical skills.
• Effective communication skills for presenting findings to stakeholders.
• Ability to work collaboratively in a team environment.
• Adaptability and a proactive approach to problem-solving.