Opportunity for HRMI Specialist:

Roles & Responsibilities of the position in brief:

- Selecting features, building and optimizing classifiers using machine learning techniques

- Data mining using state-of-the-art methods

- Extending company's data with third party sources of information when needed

- Enhancing data collection procedures to include information that is relevant for building analytic systems

- Processing, cleansing, and verifying the integrity of data used for analysis

- Doing ad-hoc analysis and presenting results in a clear manner

- Creating automated anomaly detection systems and constant tracking of its performance

- Development of strong working relationships with HR specialists and analytics colleagues regionally and globally to build and enhance reporting functionality

- Manage and develop talent to ensure strong deliveries in analytics

- Develop actionable analytics using technology and statistical measures for the use of HR advisors and business managers

- Consolidate standard reporting by maximizing use of technology

- Engage in technology update/ deployment within HR.

Mind Set:

Key Performance Indicators:

- People management

- Sharp analytical skills

- On-Time delivery of reports and dashboards

- Tech savvy, use of technology in reporting and analytics

- Accuracy of Reports Generated (error free reporting)

- Process documentation

- Automation and Process improvement initiatives

Capabilities/Key Competencies:

Flexibility (Open to Change)

- Adapts effectively to changing plans and priorities

- Stays on target to complete goals regardless of obstacles or adverse circumstances

- Rigorous follow ups through on all commitments to achieve results

Planning, Organizing and reviewing skills

- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

- Experience with common data science toolkits, such as R, Python. Excellence in at least one of these is highly desirable

- Great communication skills

- Experience with data visualization tools, such as D3.js, GGplot, etc.

- Proficiency in using query languages such as SQL, Hive, Pig

- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Data-oriented personality

- People management

- Project management experience, or experience in managing processes

- Strong planning, organizing & reviewing skills

Interpersonal Skills

- Experience in effectively managing a team

- Strong interpersonal skills

- Should be self-driven, high on energy have a zeal for analytics and should be open to stretched targets

- The candidate should possess good communication skills, both, written and oral and should be proficient in making business presentations.

- Ability to motivate teams to deliver within tight timelines

- Experience in a corporate environment.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.