Artificial Intelligence/Data Analyst

2 weeks ago

Delhi NCRDelhiNoidaGurgaonGurugram, India Level AI Full time

Job Description :

Level AI ( is a 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, information retrieval systems, and full-stack technologies to bring customers and businesses closer to one another.

We are a fast-growing startup looking for an AI Analyst with a proven track record as an Analyst.

As one of the critical members of the Level team your work will be new and of the highest impact to shape the future of AI in businesses. You will directly work with a small experienced team of technologists to identify and solve a new set of problems. The team has experience from Amazon Alexa, Facebook, and other leading AI organizations. You will have the freedom to pave a new path to achieve our mission

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 :


- 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.



(ref:hirist.tech)

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