Senior Advanced Data Scientist

Senior Advanced Data Scientist

Honeywell
3-6 years
Not Specified

Job Description


Innovate to solve the world's most important challenges
Senior Advanced Data Scientist for HR - Employee Engagement (Voice of Employee)
Deliver business value through Right and Fast partnership
Who We Are
Honeywell is a Fortune 100 company with global sales surpassing $40B and has been one of Fortune's Most Admired Companies for over a decade. Through innovation, the Company brings together the physical and digital world to tackle some of the toughest societal and business problems - making the world a more productive, safe, and sustainable place.
The business is organized into five primary groups: Aerospace, Buildings, Performance Materials and Technologies, Safety and Productivity Solutions, and the Connected Enterprise. Honeywell specializes in things that are critically connected - beyond smart phones and laptops, we make the kinds of connections that keep cities working, planes flying, plants running, and workers safe. Our unique capabilities, over a century in the making, bring together data, expertise, and technology to connect people, processes, and assets.
Honeywell International is building a world that's safer and more secure, more comfortable and energy efficient, more innovative and productive. For more information, please visit Honeywell.com or follow us @HoneywellNow.
Who You Are
We're looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.
As a Senior Advanced Data Scientist in Predictive Analytics of People Analytics team, you will join a high-performing, global team, and assist with designing, developing, and deploying data driven solutions for Human Resources & Communications function. You will be assigned to Data Science project of 'Employee Engagement'. You will work closely with application architects to integrate results into operational platforms including containerized microservices and distributed compute and storage architectures.
Additionally, the Senior Advanced Data Scientist role is expected to work within Honeywell Human Resources & Communications function to identify opportunities for new growth and efficiencies based on data analyses both in adjacencies based on previous engagements, as well as larger industry developments.
Specific Responsibilities
Develop data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs
Foster relationships with Human Resources & Communications team by being proactive, displaying a thorough understanding of the business processes and by recommending innovative solutions
Communicate project output in terms of customer value, business objectives, and product opportunity
Promote data science methods and processes across functions
Work with our businesses and infrastructure teams to develop a strategy that will clearly outline how our enterprise platforms can enable business growth & productivity
You must have:
Minimum of 3 years of Data Science experience in Natural Language Processing
Minimum of 3 years of Data Science experience in Human Resources or Survey such as Net Promoter Score survey, Customer Satisfaction survey
Minimum of 5 years of Python or R programming experience for Machine Learning & Data Science related libraries such as Python (Numpy/Pandas/Scikit-Learn/Seaborn/Keras/SciPy/Pytorch/Tensorflow/NLTK), R (Tidyverse/Tidytext/stringr/randomForest/nnet/Keras for R/Tensorflow for R/h2o AutoML)
Solid understanding of basic statistical and machine learning concepts such as Hypothesis Testing, p-value, Regression, sampling, Clustering, Cross-Validation, ROC/AUC, Precision/Recall, Type 1 and Type 2 error, Timeseries (Seasonality/ARIMA)
We value:
Master's degree in Computer Science, Engineering, Applied Mathematics or related field
Experience with Employee Engagement survey or any survey analysis
Experience with developing and deploying Machine Learning Applications in Python or R Web Application libraries such as Python (Django/Flask) and R (Shiny)
Experience with SQL
Human Resources experiences especially in Talent Development or Talent Management domains
Experience working with remote and global teams
Results driven with a positive can-do attitude.

About Honeywell

Job Source : careers.honeywell.com

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