Advanced Data Scientist

Key Skills

Aartificial intelligence, Clustering, Decision trees, JavaScript, Python Programming, R Programming, Regression Analysis, SQL

Job Description

Are you ready to help us make the future?

Honeywell is transforming from a traditional industrial company to a contemporary digital industrial and software business. Our goal is to produce great products and deliver the seamless and effortless digital experience our customers expect. We are looking for someone passionate about data and delivering actionable insights to help the company progress on our digital journey. The Data Scientist will be responsible for creating, updating, and deploying complex data sets to understand customer behavior, improve the customer experience, and drive adoption of Honeywell’s new digital platforms. The Data Scientist will also analyze both digital and non-digital data to provide actionable insights and present data-based recommendations and opportunities for driving new growth and efficiencies.

Key Responsibilities

• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods.

• Performing statistical analysis to identify trends, patterns, and correlations.

• Work with data engineers on data quality assessment, data cleansing and data analytics

• Work in technical teams in the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

• Identifying opportunities for process effectiveness or cost savings

• Manage data and analytics projects, delivering results in a timely manner.

• Collaborating with cross-functional teams to develop data-driven solutions.

• Ensuring data privacy and security in accordance with company policies and regulations

YOU MUST HAVE

• Bachelor’s Degree with a minimum 8 years of experience in manipulating data sets and building statistical models.

• Strong problem-solving skills with an emphasis on product development.

• In-depth understanding of SQL.

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

• 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.

WE VALUE

• Master’s degree in Computer Science, Engineering, Applied Mathematics or related field

• Strong analytics skills: ability to assess data, drive insights, and make recommendations.

• Exposure to Azure web services

• Excellent verbal and written communication and presentation skills