Sr. Data Scientist

Responsibilities:

• Data Support: Provide daily data extraction and processing services for projects initiated by business units and other operational teams.
• Data Products: Develop and optimize data products (e.g., reports/dashboards) to monitor business performance and ensure operational continuity.
• Data Auditing: Conduct daily performance calculations and data verification for business teams.
• Metrics Framework: Collaborate with business units and operational teams to design and refine data metrics frameworks, addressing diverse analytical needs.

Basic Requirements:

• Experience with data support;
• Bachelor's degree or higher is preferred;
• Proficiency in SQL, Python, common data analysis tools, and office software.
• Strong data sensitivity and ability to independently solve problems.
• Excellent logical thinking, communication skills, and fast learning agility.
• Detail-oriented, responsible, and team-oriented work ethic.

About Us

Keeta, the international subsidiary of Meituan—the global delivery giant—is on a mission to revolutionize food and consumer product delivery worldwide. With our core belief: "We help people eat better, live better," we're taking innovation to the global stage

Job Responsibilities:

• Responsible for sales of the whole process of data monitoring, analysis, insight into business growth points, and can timely locate and early warning of business problems and risk points, to provide strategic direction and improve proposals; construct data reports, promote the construction of business data products, and enhance the operational efficiency of the sales and operations team.
• Focus on special analysis: based on analysis results derived from data, collaborate with internal and external resources to promote key projects and drive sales. Continuously review and iterate to improve results.
• In-depth understanding of the sales business, continue to follow up on business actions, establish a multi-dimensional business strategy diagnosis system, discover and locate current business problems, and provide support for business decision-making.

What You'll Do:

• Two or more years of relevant experience in business analysis and sales data analysis. Experience in a head internet analyst position is preferred.
• Excellent logical thinking ability, able to perform structured analysis and dismantling of the problem, with the ability and habit of independent thinking and discernment.
• Good command of commonly used data analysis tools, with solid basic skills in mathematical statistics.
• Excellent communication and collaboration skills.

What Make This Role Exciting:

• A startup team with plenty of opportunities to participate in core projects for rapid growth.
• Experiencing different countries, languages, and cultures.

Overview

Come to one of the biggest IT services companies in the world. We value learning and growth, with opportunities to improve and collaborate across teams. We are looking for a Machine Learning Engineer (MLOps) who wants to learn and transform their career.

Responsibilities and requirements:

• Deploy, automate, and monitor machine learning models in production environments.
• Develop and maintain data and model pipelines using MLOps tools.
• Provide technical support to the Data Science team, promoting best practices in Machine Learning Engineering and DevOps.
• Evolve and maintain the internal MLOps framework.
• Ensure the security, performance, and scalability of the implemented solutions.
• Proven experience in MLOps
• Hands-on experience with AWS
• Kubernetes for container orchestration
• Argus
• Kedro for pipeline orchestration
• Experience with databases (preferably Redshift or other relational databases)
• Knowledge of code versioning and CI/CD processes (Jenkins, or similar)
• Strong documentation skills and ability to communicate clearly with both technical and non-technical stakeholders

What You'll Do:

• Deploy, automate, and monitor machine learning models in production environments.
• Develop and maintain data and model pipelines using MLOps tools.
• Provide technical support to the Data Science team, promoting best practices in Machine Learning Engineering and DevOps.
• Evolve and maintain the internal MLOps framework.
• Ensure the security, performance, and scalability of the implemented solutions.

What Makes This Role Exciting:

• Startup-style environment with opportunities to participate in core projects for rapid growth.
• Exposure to diverse countries, languages, and cultures.

Benefits and Equal Opportunity

Tata Consultancy Services is an equal opportunity employer with a broad array of benefits for employees.