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Hexaware

Analytics Data science and IOT Lead

Posted Yesterday
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Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Lead the development of data products and analytical models by integrating datasets, collaborating with engineering teams, and conducting data analysis for business solutions.
The summary above was generated by AI
Job Location:
  • First preference: Bangalore
  • Open to Multicity if Bangalore is not available
Required Experience:
  • 5 or more years of experience in Python, big data analytics, or AI/Generative AI development projects
Responsibilities:
  • Lead development to identify and integrate new datasets to enhance product capabilities.
  • Collaborate with engineering teams to develop data products.
  • Develop custom Python libraries, Spark, or equivalent for data processing.
  • Build data ingestion, curation, and validation pipelines for AI model fine-tuning.
  • Perform data modeling, processing, and categorization.
  • Execute analytical experiments to solve business problems.
  • Identify relevant data sources and mine large structured and unstructured datasets for client needs.
  • Analyze data for trends and patterns, interpreting data with clear objectives.
  • Implement analytical models into production by collaborating with software developers and machine-learning engineers.
  • Stay current with technical and industry developments.
The Role Offers:
  • Opportunity to work on advanced AI and Generative AI applications.
  • Exposure to big data analytics and diverse programming environments.
  • Collaborative and dynamic research-focused work environment.
Essential Skills:
  • Strong proficiency in Python and AI-based Python libraries.
  • Hands-on experience in AI/Generative AI development projects.
  • Expertise in pattern recognition and predictive modeling.
  • Experience with data mining, mathematics, and statistical analysis.
  • Competency with Excel, PowerPoint, Power BI or other reporting tools.
  • Programming knowledge including Java, Python, SAS.
  • Ability to work effectively in dynamic, research-oriented teams.
Good to have Skills:
  • Experience or knowledge in:
    • Altoros
    • Bluemix
    • Data Science tools e.g., PySpark, Python, R, SAS E-Miner, SPSS
    • Ethereum
    • GoLang
    • Hyperledger
    • IBM Watson
    • Keras
    • SAS
    • TensorFlow
    • Waterfall methodology

Top Skills

Ai/Generative Ai
Data Science Tools
Java
Keras
Power BI
Pyspark
Python
R
SAS
Spark
TensorFlow

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