Level AI is a Series B funded Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley, and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP/NLU, and information retrieval systems to bring customers and businesses closer to one another. As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us.
Roles and Responsibilities :
Drive product impact by proposing and conducting quantitative research into key user behaviors and trends
Conduct in-depth analysis and build statistical models to identify trends and key drivers that inform important decisions made by the user.
Data analysis to identify common trends
Review the output of AI models to improve performance by identifying common usage gaps
Analyze model performance by diving into user feedback data and product usage reports
Suggest ways to improve product usage by specifically targeting each group of users and also feature.
Create a business analysis report weekly.
Define and monitor key metrics; investigate changes in metrics.
Requirements :
Bachelors or above with a good academic background.
0 to 2 years of full-time work experience as an Analyst.
A highly resourceful individual who is looking to grow in the SaaS AI field.
Experience in Python (Pandas, Matplotlib, NumPy) is a must.
Familiarity with Classical ML Models (scikit-learn) and Deep Learning (HuggingFace, PyTorch) is plus.
Employing test findings to do Statistical analysis and improve models.
Knowledge of common metrics for evaluation of ML models is a plus.
We offer market-leading compensation, based on the skills and aptitude of the candidate.
