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Key job responsibilities
As a Lead Data Specialist in Quality, ML Data Ops, you will be responsible for meeting operational and business goals overlooking about 30-40 associates, having expertise in one or more processes/functions. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below:* Data Analysis: Conduct in-depth analysis of data to identify patterns, problems, root causes, and potential solutions, leveraging analytical tools and techniques.* Escalation Management: Manage escalations by analyzing data, identifying trends and gaps, and reporting key metrics to facilitate informed decision-making and resolution.
* Process Improvement: Review standard operating procedures (SOPs), processes, and tools to proactively identify areas for improvement, striving to enhance quality metrics and operational efficiency.
* Continuous Improvement: Drive continuous improvement initiatives, actively contributing to the Correction of Error (COE) process by documenting data curation and annotation issues and suggesting improvements.
* Leadership Support: Participate in business reviews with mid-level and senior leadership, providing valuable insights and support to drive strategic objectives.
* Process Onboarding: Participate in the onboarding of new processes or experiments, ensuring comprehensive documentation and smooth integration into existing workflows.
* Launch Plan Development: Develop robust launch plans for new team members and oversee progress tracking through the administration of launch plans, ensuring seamless integration and productivity.
* Training and Coaching: Coach new hires on process tasks and provide feedback to the training team for the customization of training modules, facilitating skill development and performance improvement.* Quality Assurance: Perform quality checks on annotated data with a high level of precision, adhering to annotation guidelines and maintaining data integrity and accuracy.
* Sensitive Data Handling: Demonstrate willingness to work with sensitive data, including adult content, religious, and other sensitive issues, adhering to privacy and confidentiality protocols.
- A Bachelor’s Degree and relevant experience of 2+ years as a subject matter expert or similar.
- Intermediate knowledge and hands on experience with MS Excel
- Strong written & spoken communication skills.
- Strong attention to detail and the ability to successfully manage multiple competing priorities simultaneously
- Knowledge of SQL, Python scripting and Machine learning
- Understanding of quality related concepts & tools such as 5Ys, 7 QC, F.M.E.A.
- Experience in e-commerce and online retail
- Certified Six Sigma Green Belt
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