Data Scientist

Honeywell

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

Description

In this role you will have the opportunity to apply foundational data science techniques to analyze large datasets across functional domains identify trends and anomalies and help extract insights that support informed audit decision-making. You will collaborate with cross-functional teams to support the development and execution of data-driven audit will assist in building repeatable analytics dashboards and automated solutions that contribute to the ongoing enhancement of internal controls risk mitigation efforts and operational efficiency within the Corporate Audit program.

KEY RESPONSIBILITIES

  • Apply data science techniques to analyze large datasets and identify patterns
  • Conduct thorough and accurate data analysis to identify patterns and trends within complex datasets
  • Perform data extraction cleansing validation and analysis to support internal audit planning execution and reporting activities
  • Develop and implement data-driven audit strategies within the Corporate Audit program
  • Collaborate with cross-functional teams to drive operational efficiency and risk identification
  • Leverage statistical models and machine learning algorithms to extract insights
  • Provide guidance and recommendations to management based on data analysis
  • Assist in developing and maintaining standardized audit analytics reports and dashboards to improve audit efficiency and consistency
  • Attention to detail and strong organizational skills

WE VALUE

Masters degree in Data Science Statistics or a related field

PowerBI Azure AI Studio Databricks and Snowflake tool experience

Experience in audit or risk management
Knowledge of internal control frameworks and risk assessment methodologies
Strong understanding of business processes and operations
Ability to work independently and manage multiple projects



Qualifications

REQUIRED SKILS

Minimum of 3-5 year of experience in data science or related field

Bachelors degree in Data Science Statistics or a related field
Basic knowledge of data science techniques and tools
Experience in applying statistical models and machine learning algorithms
Excellent analytical and problem-solving skills
Strong communication and presentation skills




Required Experience:

IC

DescriptionIn this role you will have the opportunity to apply foundational data science techniques to analyze large datasets across functional domains identify trends and anomalies and help extract insights that support informed audit decision-making. You will collaborate with cross-functional team...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

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Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability ... View more

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