Analytical Insights Specialist

1 week ago


Mumbai, Maharashtra, India beBeeData Full time ₹ 30,00,000 - ₹ 50,00,000

Seeking a skilled Data Analyst to deliver insightful business solutions.

We are looking for an experienced professional to join our team in Data Engineering & Analytics practice.

The role will focus on delivering best of breed solutions to clients using Advanced Analytics and Machine Learning tools and techniques.

The ideal candidate will have more than 6 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence and Machine Learning.

Responsibilities:
  • Deliver data insights using AI, ML and Advanced analytics techniques
  • Architect, Build & Deploy scalable Machine Learning models both on premise & on cloud platforms
  • Work closely with stakeholders to Identify problem statement, check availability of data and identify appropriate solutions to provide insights to address the problems and deliver better outcomes
  • Collaborate with Data Engineering teams to source and ingest data into data lakes
  • Translate semi structured and unstructured data into structured data format to provide better insights
  • Propose and execute ML POCs to deliver quick wins for clients
  • Provide mentorship to junior resources within the Data Scientist community

Mandatory Skills:

  • Should have 6+ years of experience working in Business Intelligence, Analytics and Machine Learning
  • Extensive hands-on experience analyzing data with SQL
  • Experience in data mining of large data sets using tools like SAS / R / Python to identify patterns
  • Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing and cleaning data
  • Experience using BI tools like Tableau or PowerBI for self-service analysis and Visualization of data
  • Document processing using OCR conversion techniques
  • Collaborate with Data Engineering teams to ingest unstructured and semi structured data into data lakes
  • Identify data sets, attributes and patterns to propose appropriate ML approach for a given problem
  • Strong fundamentals in statistics and its application for building and validating ML models
  • Understanding of Supervised, Unsupervised and Reinforcement learning approaches
  • Strong experience in using Regression / Classification / Clustering algorithms and their application for appropriate use cases
  • Build models using R, Python or Cloud native ML offerings from AWS, AZURE and GCP platforms
  • Deploy ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve
  • Problem-solving skills along with good interpersonal and communication skills

Nice-to-Have Skills:

  • Exposure to Azure, AWS and Google Cloud Platforms with hands on exposure to ML service offerings
  • Experience working with teams located in multiple locations across the globe
  • Knowledge and understanding of various Data repositories, Databases, ETL and BI tools and data assets hosted on Hadoop or cloud platforms
  • Agile development experience and collaborating with Data Engineering teams
  • Familiarity with Spark, Scala and distributed data processing platforms will be a big advantage
  • Ability to work with tools like Jupyter / Databricks notebooks to interactively work with data sets

Become part of a dynamic work culture that is committed to innovation and growth.



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