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Data Scientist

  • Data Analyst
  • Full-time
  • Bangalore , IN

2023-11-06 09:45:32 UTC


Pollen Tech Pte Ltd is a private B2B marketplace that helps companies buy and sell excess inventory sustainably, with a focus on reducing business waste. As a Data Engineer, you will work as part of a dynamic team to support the development and implementation of data-driven solutions for Pollen's platform. You will be responsible for creating data models used by Pollen customers. The ideal candidate will have a strong technical background and be passionate about using data to drive business decisions and improve customer experience.


- At least 3 years of working experience in data science, with a bachelor's degree or above, majoring in quantitative field statistics is preferred. - Proficient in SQL, Python or R, and expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization. - E-commerce or online marketplace experience is strongly preferred. - To succeed in the role, you need to be a proactive, self-driven and impact-driven person. - Be able to work with cross-functional teams in a fast-paced environment.


  • Bachelor's degree in Computer Science, Information Technology, or a related field.

  • Minimum of 3 years of experience in data engineering or a related field.

  • Strong programming skills in languages such as Python, Java or Scala.

  • Hands-on experience with cloud-based data platforms such as AWS

  • Experience with data warehousing, ETL, and data modeling techniques.

  • Excellent problem-solving skills and attention to detail.

  • Working experience in one of the following fields: machine learning, NLP, and computer vision • Experience with software development in at least one of the following programming languages: C++, Python, Go, Java, SQL, can use Python or R for data analysis
    • Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

    Preferred Qualifications:

    - Proficient in using at least one mainstream deep learning framework such as Tensor Flow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.

    - Experience in text classification, text matching, sequence labeling, knowledge graph.

    - Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised, and other similar issues.

    - Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2 Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning.

    - Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink).


In this role, you will:
- Provide actional insights to drive the growth of business and improvement of operational efficiency.
- Leverage data science expertise to design data solutions to solve commerce operation and product problems such as inventory and pricing
- Partner closely with key stakeholders to optimize overall business performance and health.
- Provide suggestions for improvements to align with the business goals
-Work closely with engineers and product on implementation and tracking for business improvements made