Posted:2 days ago|
Platform:
Work from Office
Full Time
Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
Oversees complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency.
Monitors existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps. Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models.
Collaborates with other data science teams to review model ready dataset document/feature documentation.
Partners with data science teams to understand data requirements. Oversees detailed analysis of raw data sources for data quality, applies business context, and model development needs. Drives efficiency through the use of data discovery tools.
Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Supports ongoing business planning and departmental prioritization activities.
Guides model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues.
Executes operational plans to achieve department objectives. Collaborates with department or functional heads in planning, developing, and executing near-term goals.
Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
Participates in special projects and performs other duties as assigned.
Develops scalable data mining strategies and analytical models to uncover hidden patterns and improve decision-making processes across domains.
Applies domain-specific data analysis techniques in sectors like marketing, supply chain, or scientific research to deliver strategic impact.
Explores and integrates emerging data science frameworks and tools to enhance analytical maturity and model performance across the enterprise.
Skills and attributes for success
A team player with strong analytical, communication and interpersonal skills
Constantly updating yourself about new technologies in the market
A winning personality and the ability to become a trusted advisor to the stakeholders
To qualify for the role, you must have
Minimum 8 years of experience in data science, data engineering, or machine learning roles
Bachelors degree (B.E./B.Tech) in Data Science, Computer Science, or Applied Mathematics; Masters degree/Diploma preferred in relevant fields
Strong hands-on experience in pipeline design, model monitoring, AI/ML implementation, stakeholder collaboration, and analytical storytelling.
Ideally, youll also have
Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
Be highly flexible, adaptable, and creative.
Comfortable interacting with senior executives (within the firm and at the client)
What we look for
Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values.
EY
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