HiredScore Published: October 6, 2020
Job Type
Category
Level of education
Undergraduate
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
3 years

Description

HiredScore brings deeply integrated big data and AI solutions to the global Fortune 500. By leveraging data from companies' Human Resources Data ecosystem, HiredScore enables to automate and augment the hiring process, enriching recruiters' decisions with smart insights and candidate prioritization grades of A, B, C, or D using NLP and Machine Learning algorithms.

HiredScore's Artificial Intelligence Engine uses past company hiring data, global hiring data, and other data sources including labor market data, employee performance data, and CRM data, to revolutionize the end-to-end recruiting workflow as well as integrate seamlessly with other HR Systems such as chatbots, assessment tests, video interviews, and other automation tools. HiredScore's mission is to bring data science into the Human Resources domain.

The Senior data analyst role is an important contributor to the development of our core IP. It is a unique position in the intersection between our Data Science, Product, and Customer Success teams. The data analyst will perform root cause analysis, help define key metrics, datasets, and labeling projects to improve the company’s core NLP algorithms.

ROLES & RESPONSIBILITIES

- Be the focal point of any quality related questions around our algorithms
- Participate in Defining and measuring the quality of the datasets we use for our Machine Learning models
- Create, maintain and improve reporting and other data visualizations which will enable our internal stakeholders to drive better decision-making
- Identify logical issues, gaps and areas for improvement in the data and get to the root cause of the problem using data analysis, statistical models and other tools.
- Lead quality exploration tasks as part of ongoing operations and special tasks
- Lead data labeling efforts of our internal team and external resources
- Work with internal stakeholders and assist with data-related technical questions, issues and lead a data driven approach to problem solving

Requirements

- A minimum of 3 years of data analytics experience is required. Preferably with AI/ML based products
- Experience working with SQL and relational data (2+ years)
- Experience in advanced analytics and machine learning, and AI/ML model building is a big plus
- Proven experience with NoSQL databases such as Mongo - advantage
- Proven experience working data analysis & manipulation tools such as R, Python Pandas and NumPy - advantage
- Proven experience working with industry standard analytics and data visualization solutions such as Google Data Studio, Tableau, Sisense - advantage
- Bachelor's degree or equivalent hands on experience in Engineering, Computer Science, Data Science, Management, Information Technology or similar
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