Data Scientist Leader

2 days ago

Karachi, Sindh, Pakistan beBee Careers Full time
Job Summary:

This role is a leadership position responsible for overseeing the development and implementation of big data analytics solutions. The ideal candidate will have expertise in designing, building, and maintaining robust data pipelines, as well as creating visually engaging dashboards using data visualization tools.

The Senior Big Data Specialist/Analyst will work closely with cross-functional teams to translate business needs into technical solutions, providing predictive and prescriptive analytics using AIOps-enhanced frameworks. This includes leveraging AIOps processes and procedures, open-source technologies, and cloud-based LLMs and AI models for automation, optimization, and real-time insights.

Key Responsibilities:
  1. Data Pipeline Management: Design, build, and maintain automated data pipelines to collect, process, and analyze data from various microservices.
  2. Dashboard Creation and Maintenance: Develop visually engaging dashboards using data visualization tools like Tableau or Power BI.
  3. Data Integration and Consolidation: Aggregate, integrate, and cleanse data from distributed systems and microservices into centralized repositories.
  4. Data Analysis and Reporting: Analyze large datasets to uncover trends, patterns, and actionable insights using AI and machine learning models.

Qualifications and Skills:

Mandatory Qualifications:

  1. Diploma in AIOps (RQF Level 6) or BSc/MSc in Data Science, Computer Science, or a related field.
  2. Minimum 5+ years of experience in Big Data engineering, data analysis, or similar roles.

Technical Expertise:

  1. Proficiency in Big Data frameworks such as Hadoop, Spark, Kafka, or Flink.
  2. Experience with data pipeline tools integrated with AIOps monitoring and orchestration.
  3. Advanced SQL and familiarity with NoSQL databases.
  4. Hands-on experience with data visualization tools like Tableau or Power BI.

Benefits:
  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge technologies, AIOps, and AI-driven projects.
  • Collaborative and supportive team environment.
  • Professional development and growth opportunities.
  • Relocation opportunities based on senior management discretion.

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