Python Developer

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KinSame leverages facial photos to identify family connections, providing valuable insights to various industries by analyzing visual data. Our company has already secured venture capital funding and generated sales. We prioritize empowering our team to showcase their creativity and expertise, while having fun in the process.

As a Machine Learning Data Analyst, you will play a crucial role in gathering large sets of structured and unstructured data from various online sources to help train and optimize our machine learning models. Your resourcefulness and ability to think outside the box will be vital in identifying and leveraging diverse data sources to meet our objectives.

• Design, develop, and maintain Python scripts to scrape data from different websites and online sources in adherence to legal and ethical guidelines.
• Understand and leverage various internet protocols to access and collect data efficiently and securely.
• Collaborate with the machine learning team to understand the data needs for different projects and to help in achieving the goals of the team.
• Multi-task and manage requests from multiple stakeholders, ensuring timely delivery of high-quality data.
• Assist other team members in achieving their goals through knowledge sharing and collaborative problem solving.
• Ensure the quality and consistency of collected data through regular review and cleaning processes.
• Stay updated on the latest developments in internet protocols, scripting techniques, and machine learning concepts to bring innovation and efficiency to your role.
  

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Prior experience in a similar role is required.
• Proficiency in Python and scripting.
• Solid understanding of internet protocols and machine learning concepts.
• Excellent problem-solving abilities and a resourceful mindset.
• Outstanding multi-tasking abilities, with experience answering to multiple stakeholders.
• Strong interpersonal skills, with a proven track record of helping others achieve their goals.
  

• Resourcefulness: Leveraging different resources effectively to gather the required data.
• Multi-tasking: Handling various tasks efficiently without compromising on the quality of work.
• Collaborative Spirit: Working harmoniously with others and aiding them in achieving their goals.
• Innovative Thinking: Bringing fresh and unconventional perspectives to problem-solving.