Data Scientist-People Analytics

Job Advert

Want to make HR faster, simpler, better? So do we. As Data Scientist-People Analytics at RB, you’ll have the freedom to find your own way to help us create an agile, more efficient operation.

Data Scientist-People Analytics
Hyderabad, Andhra Pradesh
Competitive Salary & excellent benefits package

Job Description

You’ll Get To

• Supports the establishment and implementation of a HR Reporting and Analytics service delivery model including governance structure and related processes.
• Use statistical and machine learning techniques to discover patterns and solve strategic & tactical people analytics problems.
• Collaborate closely with HR business partners and act as a technical thought leader in the application of advanced analytics.
• Drives the process of designing and building data solutions that achieve dynamic predictive modeling; Leads the product engineering team in the process of analyzing big data, identifying patterns, finding and answering important HR questions.
• Communicates findings in lay terms to HR partners, managers, engineers, and other stakeholders; Plays a key role in evangelizing the data analysis results across the organization.
• Partners on new technology demands to ensure required KPIs are well scoped and data standards are clearly defined.
• Monitors and reports on usage of reporting / analytics products and embeds and drives usage of self-service analytics and reporting.
• Develop and implement procedures for quality checks.

Qualifications

• Master’s degree in Computer Science/Math/Statistics or relevant field AND Six (3) years of experience in data mining/analysis OR Equivalent combination of education and experience
• Ability and passion for formulating research problems and defining performance benchmarks with given data and use case
• Expert proficiency in manipulating and analyzing complex, high-volume, high-dimensionality data from varied sources using big data integration and analysis tools (R, Matlab, or Python)
• Knowledge and experience in application of advanced statistical techniques (e.g. linear models, basis expansion and regularization, kernel methods, probabilistic graphical models / Bayesian Network, etc.)
• Business acuity including understanding and comfort with expectations of accountability and profitability
• Familiarity with data life cycle management practices including sourcing, discovery, profiling, applying definitions, establishing relationships, data mining and documentation

Desired Qualifications

• Ph.D. in relevant technical field
• Have experience and deep understanding of undirected probabilistic graphical models (Bayesian Network, Hidden Markov Model etc.)
• Proficiency in R and one or more programming languages (C/C++, Java, Python, Ruby, PHP, etc.) Experience with Hadoop, Hive, Impala, and/or Spark and unstructured data sources
• 2+ years of experience working with HR data in people analytics field