Advanced Data Scientist
Honeywell
Devarabisanahalli Village, KR Varturhobli,, East Taluk - Phase I, Bangalore, KARNATAKA, 560103, India
2d ago

Join a team recognized for leadership, innovation and diversity

Advanced Data Scientist

Overview :

The Information Management & Analytics team is responsible for certification of Honeywell’s data. This includes establishing governance framework for business stewards to ratify their data assets, support data quality activities, error proofing, establishing MDM Golden records, and providing a data subscription service to cleansed data.

We are looking for a Data Scientist who will support our data certification effort with AI / ML technology from analyzing Master and Transaction data from core ERP systems.

The ideal candidate is adept at using large data sets to find opportunities for recommending correct value to fix error data identified in Data Certification process using AI / ML models.

He must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations also must have a proven ability to drive business results with their data-based insights.

He must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Key Responsibilities

  • Work with Data Stewards and Data Analyst throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from ERP data sources to drive Data understanding.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize data certification process through recommendation for bad data (Incomplete, invalid and inaccurate) identified in the process.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Knowledge, Skills, and Abilities

  • Strong problem solving skills with an emphasis on Data Quality.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
  • and their real-world advantages / drawbacks.

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
  • and experience with applications.

  • Excellent written and verbal communication skills for coordinating across teams.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience with Tableau, Data Catalogs, Informatica IDQ, preferred
  • A drive to learn and master new technologies and techniques.
  • Education and experience

  • BE / B Tech / MCA. Masters is preferred though.
  • 10+ years of experience in Data with at least 5 years of experience in Data Science.
  • Should have hands on experience developing AI / ML Models and deployment of the same.
  • Should have fair understanding Data Lifecycle.
  • Knowledge and experience in statistical and data mining techniques : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages : R, Python, SLQ, etc.
  • Experience using web services.
  • Experience creating and using advanced machine learning algorithms and statistics : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers : D&B, Tax commissions, etc.
  • Experience with AI / ML platforms : Domino, Google AI Platform, Tensor Flow, etc.
  • Knowledge, Skills, and Abilities

  • Strong problem solving skills with an emphasis on Data Quality.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
  • and their real-world advantages / drawbacks.

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
  • and experience with applications.

  • Excellent written and verbal communication skills for coordinating across teams.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience with Tableau, Data Catalogs, Informatica IDQ, preferred
  • A drive to learn and master new technologies and techniques.
  • Education and experience

  • BE / B Tech / MCA. Masters is preferred though.
  • 10+ years of experience in Data with at least 5 years of experience in Data Science.
  • Should have hands on experience developing AI / ML Models and deployment of the same.
  • Should have fair understanding Data Lifecycle.
  • Knowledge and experience in statistical and data mining techniques : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages : R, Python, SLQ, etc.
  • Experience using web services.
  • Experience creating and using advanced machine learning algorithms and statistics : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers : D&B, Tax commissions, etc.
  • Experience with AI / ML platforms : Domin

    Report this job
    checkmark

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Apply
    My Email
    By clicking on "Continue", I give neuvoo consent to process my data and to send me email alerts, as detailed in neuvoo's Privacy Policy . I may withdraw my consent or unsubscribe at any time.
    Continue
    Application form