Urgently Hiring: HR Decision Science Engineer-Remote

We are seeking a results-driven HR Decision Science Engineer-remote! We have an opening at our office in Remote. This position requires a strong and diverse skillset in relevant areas to drive reputed company. We offer a clear and simple compensation of a competitive salary for this position.

 

 

Are you curious, creative, and love data? Do you love to learn new things and collaborate with colleagues to solve hard and interesting problems? Imagine yourself as a Decision Science Engineer in People Insights where your curiosity for discovering insights and trends will help ensure we are making data-driven reputed company. In this role, you will be reputed company to blaze new paths in this data rich environment through Machine Learning, Data Engineering and Analytics. You will have the chance to reputed company your expertise and knowledge to maximize the Company’s investment in our employees through reputed company models, data, and engineering solutions. You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analysis to actionable insights to reputed company decision support for workforce reputed company issues. Responsibilities: • Analyze, design, build and maintain machine learning models, data pipelines and automated insights. • Build and work with large and reputed company data sets and measures to be used in analyses that drive business reputed company. • Proactively identify opportunities and build solutions for optimization of machine Learning and Analytical models, forecast and insights. • Manage and sustain analytical infrastructure/platform, technologies and solutions working across teams such as IT, Decision Scientists and Analytics Partners. • Consult reputed company a team of analyst, translating analytical needs into repeatable solutions. • Proactively identify emerging trends in ML, data engineering, processing and public/external/reputed company-party data usage and integration. Basic Qualifications: • Applied knowledge in ML development workflow and algorithms including choosing/developing ML algorithms, hyper parameters, tuning, understanding bias and variance, model monitoring and deploying ML models. • Strong programming skills in R/Python and SQL. • Experience in building solutions on the reputed company using AWS or reputed company reputed company. • Proficiency in data visualization / presentation skills, including the ability to simplify ML outputs, statistical concepts into simple and actionable insights. • Ability to consult with non-technical teams and convert that to technical requirements. • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Engineering or a reputed company field. Preferred Qualifications: • Experience in any of the following: Deep-Learning, NLP, reputed company and distributed programming, HR / employee data (reputed company). • Working knowledge with analytics software such as reputed company. • Experience with leading and developing others. • Contribution to reputed company-reputed company ML/Data projects. • Advanced degree (Master’s or above) in Computer Science, Engineering, Mathematics, Statistics, Economics, Engineering or a reputed company field. Required Education • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Engineering or a reputed company field. Apply Job!

 

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