Data Analyst

Data Analyst / Lead Data Analyst

Relevant Experience: 3 - 10 years

Job Description

Wavelabs is looking for a Lead Data Analyst / Data Analyst to join our Data and AI Center of Excellence (CoE). We are a team of Data Scientists, Data Analysts, Program Managers, Product Managers and MLOps engineers in-charge of building the next generation ofAI A successful candidate will have technical depth, a positive attitude, and a passion for achieving results

Mandatory Skills

3+ years of work experience in writing code in Python

Experience in using various Python libraries like Pandas, NumPy,

Experience in writing good quality code in Python and code refactoring techniques (, IDE s PyCharm, Visual Studio Code; Libraries Pylint, pycodestyle, pydocstyle, Black)

• Deep understanding of data structures, algorithms, and excellent problem-solving skills
  
• Experience in data visualization techniques (, Matplotlib, Seaborn, ggplot2)
  
• Interpret data, analyse results using statistical techniques and provide ongoing reports
  

• Identify, analyse, and interpret trends or patterns in complexdatasets
  
• Strong working knowledge of source code control tools such as Git, Bitbucket
  
• Strong drive to learn and master new technologies and techniques
  
• Strong communication and collaboration skill
  
• Good attitude and self-motivated
  

Requirements

Benefits

• An AI first company we are an AI first company and help our clients to build products using the latest technologies like ML, DL (CV, NLP) and MLOps
  
• We built an end-to-end AI framework to help our clients to accelerate their journey to launch models ()
  
• We work closely with academic experts and research groups to solve some of the niche problems in medical imaging, biopharma, life sciences, law firms, retail and agriculture
  
• Work environment we have an environment to create an impact on the client business and transform innovative ideas into Even our junior engineers get the opportunity to work on different product features in complex domains
  
• Open communication, flat hierarchy, plenty of individual responsibility