Senior Data Insights Expert

2 weeks ago

Shimoga, Karnataka, India beBeeData Full time US$ 1,00,000 - US$ 1,50,000
Job Title: Data Scientist

Seeking a highly skilled and experienced Data Scientist to deliver best of breed solutions leveraging Advanced Analytics & Machine Learning tools.

Role Overview:

The Data Scientist will be part of our practice and focused on delivering scalable machine learning models using AI, ML and Advanced analytics techniques.

Key Responsibilities:
  • Work on client projects to provide data insights using AI, ML and Advanced analytics techniques
  • Architect, build and deploy scalable machine learning models on premise and cloud platforms
  • Collaborate with business stakeholders to identify problem statements, check data availability and propose solutions for better outcomes
  • Collaborate with data engineering teams to source and ingest data into data lakes
  • Propose solutions to translate semi-structured and unstructured data into structured formats for better insights
  • Collaborate with leadership to propose and execute ML POCs to deliver quick wins
  • Provide mentorship to junior resources within the data scientist community
Mandatory Skills:
  • 6+ years of experience in Business Intelligence, Analytics and Machine Learning
  • Extensive hands-on experience analyzing data with SQL
  • Experience in data mining of large data sets using R, Python or SAS to identify patterns
  • Experience using 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 problems
  • 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 for use cases
  • Build models using R, Python or Cloud native ML offerings from AWS, AZURE and GCP
  • Deploy ML models at scale using 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 across multiple locations globally
  • Knowledge of various data repositories, databases, ETL and BI tools 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 beneficial
  • Ability to work with Jupyter / Databricks notebooks for interactive data set exploration

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