Data Driven Business Solutions Specialist

5 days ago

Hyderabad, Telangana, India beBeeMachineLearning Full time ₹ 30,00,000 - ₹ 50,00,000
Job Overview

This role involves leveraging expertise to drive business value by developing and deploying machine learning models, building data pipelines, and creating interactive visualizations. The successful candidate will work with diverse teams to solve complex problems and automate workflows, contributing to a culture of innovation.

Key Responsibilities:
  • Develop and deploy machine learning models using regression, classification, clustering, and deep learning techniques to drive business decision-making.
  • Build ETL pipelines using Python, Snowflake, and Oracle to ensure high data quality and integrity.
  • Design and optimize interactive dashboards, reports, and visualizations using Power BI, incorporating advanced DAX calculations and Power Query.
  • Build and maintain Power Apps solutions and workflows to automate processes and improve operational efficiency.
  • Cross-functional collaboration: Work with teams across the organization to translate business needs into data-driven solutions.
Required Skills and Qualifications:
  • 7+ years of experience in data science, analytics, or a related field with a focus on machine learning.
  • Proficiency in Python, machine learning libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), and algorithms (supervised, unsupervised, reinforcement learning).
  • Expertise in Power BI, including advanced DAX, Power Query, Power Pivot, and creating complex KPIs and measures.
  • Proven experience with Power Apps development (canvas and model-driven apps) and Power Automate for business process automation.
  • Hands-on experience with Snowflake and Oracle database technologies.
  • Advanced SQL skills, with experience in writing complex queries and stored procedures.

The ideal candidate will be a self-starter with strong problem-solving and analytical skills, attention to detail, and a passion for data-driven decision-making.

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