Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Emerson

Data Scientist

Emerson

Data Scientist engaging in multiple data science projects for advanced analytics at Emerson. Responsibilities include formulating problems, data exploration, and collaborating across business domains.

Posted 7/6/2026full-timeChandigarh • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudSQL

About the role

Key responsibilities & impact
  • Participate in multiple data science projects right from initial problem statement formulation, data exploration/profiling & transforming for use in Advanced Analytics/ML/AI scenarios
  • Provide data science-based solutions to business problems of varying complexity
  • Apply data science & machine learning concepts to help develop models in diverse business domains such as Sales, Finance, HR, and Supply Chain Improvements
  • Contribute ideas and thoughts leading towards solutions to business problems
  • Interfacing with clients and senior leaders in the business, so excellent communication skills will be of paramount importance
  • Ability to explain solutions to stakeholders – no ‘black boxes’ to be deployed
  • Collaborate across the business to understand IT and business constraints
  • Actively participate in Agile development and product teams
  • Generate hypotheses about the underlying mechanics of the business process
  • Design and create ML Models and data pipelines for more efficient and repeatable data science projects
  • Apply statistical analysis and visualization techniques to various data
  • Continuously monitor execution and health of production ML models
  • Display drive and curiosity to understand the business process to its core
  • Upskill yourself (through conferences, publications, courses, local academia, and meetups)

Requirements

What you’ll need
  • 3-5 years hands-on experience in data science, machine learning and statistical analytics -designing and building Agile data science solutions for customers
  • Demonstrable expertise in solving data science problems is required
  • Substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Microsoft Azure ML or other cloud-based platforms, alongside extensive SQL experience
  • Strong analytical and problem-solving skills

Benefits

Comp & perks
  • Employee Assistance Program
  • Paid parental leave (maternal and paternal)
  • Vacation and holiday leave
  • Flexible time off plans

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data ExplorationData ProfilingModel DevelopmentData Pipeline CreationStatistical Analytics
Soft Skills
Excellent CommunicationProblem-SolvingCollaborationCuriosityDrive