Senior Data Analyst

1 day ago


Ahmedabad, Gujarat, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
As a senior data scientist, you will be at the forefront of our company's efforts to transform data into actionable insights. Our team thrives at the intersection of curiosity, rigour, and business impact, where we continuously seek to improve our understanding of complex business problems.

We are looking for an individual who can design and develop robust machine learning and statistical models tailored to solving complex business problems. This involves working with large and complex datasets to uncover trends, patterns, and opportunities, as well as collaborating with cross-functional teams to translate business needs into analytical solutions.

The ideal candidate will have a proven track record in building, refining, and deploying machine learning/statistical models in a professional setting. Strong programming skills in Python, R, or similar languages, with proficiency in machine learning libraries, are essential. A solid understanding of data structures, algorithms, and software engineering principles is also required.

Additional qualifications include experience in deploying models into real-time or high-availability production environments, familiarity with MLOps practices and tools, knowledge of data visualisation tools, and domain expertise in areas such as finance, healthcare, retail, or marketing analytics.
  • Key Responsibilities:
    • Design and develop robust machine learning and statistical models.
    • Work with large and complex datasets to uncover trends, patterns, and opportunities.
    • Collaborate with cross-functional teams to translate business needs into analytical solutions.
  • Requirements:
    • Proven experience (3+ years) in building, refining, and deploying machine learning/statistical models.
    • Strong programming skills in Python, R, or similar languages.
    • Solid understanding of data structures, algorithms, and software engineering principles.
  • Preferred Qualifications:
    • Experience in deploying models into real-time or high-availability production environments.
    • Familiarity with MLOps practices and tools.
    • Knowledge of data visualisation tools.
    • Domain expertise in areas such as finance, healthcare, retail, or marketing analytics.


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