Data Mining Specialist

1 week ago


Nellore, Andhra Pradesh, India beBeeDataMining Full time ₹ 15,00,000 - ₹ 25,00,000

At the forefront of data analysis, we are seeking a skilled Data Mining Specialist to drive business growth through informed decision-making.

About the Role:

The successful candidate will have expertise in developing and implementing data mining solutions using various tools and techniques. Key responsibilities include analyzing complex data sets to identify trends and patterns, designing and executing experiments to test hypotheses and validate results, and collaborating with cross-functional teams to integrate data mining insights into business decisions.

Key Responsibilities:
  • Data Mining Solutions Development: Design, develop, and implement data mining solutions using statistical tools like R-studio and Python, and big data tools such as Spark, ElasticSearch/OpenSearch, and Kafka.
  • Complex Data Analysis: Analyze large datasets to identify trends and patterns, and provide actionable insights to stakeholders.
  • Experimentation and Validation: Design and execute experiments to test hypotheses and validate results, ensuring high-quality deliverables.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams to integrate data mining insights into business decisions, driving strategic growth and profitability.
Requirements:
  • Statistical Tools Proficiency: Proficient in statistical tools like R-studio and Python.
  • Big Data Tools Experience: Experience with big data tools such as Spark, ElasticSearch/OpenSearch, and Kafka.
  • Machine Learning Knowledge: Knowledge of machine learning libraries like NumPy, SciPy, and MLlib.
  • Linguistic Flexibility: Ability to perform data mining and text mining in multiple languages.
Why This Role?

This is an exceptional opportunity to join a dynamic team and contribute to the development of cutting-edge data mining solutions. If you are passionate about data analysis and driven by innovation, apply now to take your career to the next level.



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