Please note that the expected salary is an estimation. Negotiation of salary will be after the final round of interviews.
An algorithm engineer with more than 5+ years of experience in machine learning, deep learning, data visualization and analysis. Familiar with Python, SQL, NLP
A good mid-level engineer with frontend/backend, algorithm experience, have deep learning project experience. Familiar with Python, SQL, and Spotfire.
This candidate is also familiar with deep learning algorithms in the image-based domain, familiar with java, python language; Familiar with image-based algorithms, and has strong thinking skills.
Familiarity with the field and technology: python, image algorithms
Longer experience in algorithm work, more familiar with the whole process of algorithm development, algorithm implementation, and data reflow, more inclined and better at algorithm online work than algorithm tuning
A lead of Data Scientist who have food and beverage industry demand forecasted analysis and modeling experience before, 8+ years of data analysis experience and familiar with python, SQL, BI tools and etc.
1. logical thinking: clear thinking, can listen to and respect the views of others.
2. coordination and adaptation: strong learning ability and good coordination and adaptation ability.
3. Communication and expression: coherent, focused, and persuasive.
4. English proficiency: can read, write and understand English technical documents/emails and other texts, and can communicate in English.
5. Professional skills: work experience in data analysis, proficiency in Python, proficiency in MySQL, HiveSQL for database management, data extraction, and metrics analysis, proficiency in DID, PS Matching, Synthetic Control, etc.
6. Project ability: more confident in the projects engaged, the details can be introduced clearly, and the problems encountered in the project can be better solved.
This candidate has data analysis experience, can communicate in English, can read English documents, is proficient in Python, proficient in MySQL, and HiveSQL for database management, data extraction, and metrics analysis, proficient in DID, PS Matching, Synthetic Control, etc.
1. logical thinking: clear thinking and the ability to listen to and respect the opinions of others.
2. coordination and adaptation: strong learning ability and good coordination and adaptation ability.
3. communication and expression: coherent, focused, and persuasive.
4. English proficiency: can communicate fluently in English.
5. Professional ability: working experience in data analysis, proficient in Python, and SQL, familiar with MySQL, MongoDB, and Neo4j; experience in ETL and data visualization.
6. Project ability: more confident in the projects engaged, the details can be introduced clearly, and the problems encountered in the project can be better solved.
Conclusion: This candidate has experience in data analysis, can communicate fluently in English, is proficient in Python, and SQL, is familiar with MySQL, MongoDB, and Neo4j; experience in ETL and data visualization.
Yes for mid-level SDE (L4) since the candidate showed:
1. good communication skills and very fluent English
2. coding is good as he knows how to approach a complicated problem step by step, although got stuck during the implementation phase
3. he is clear about the design of one of his projects (data pipeline, relations between each component), and clearly described the relations between them (input and output of each component) plus some details
No for senior SDE (L5) mainly because the candidate didn't show strong leadership since he didn't actually lead a project, but mainly collaborated with others.