Data Scientist

Emerson; Chandigarh; On-site; INR 600,000 - 900,000; Full time

Job summary

Jobtailor in Chandigarh, India seeks a data science professional to lead multiple ML projects from problem formulation through data preparation and model deployment.

You will apply statistical methods and ML concepts across domains like Sales, Finance, HR, and Supply Chain, collaborating with stakeholders and agile teams to deliver measurable business impact.

Qualifications

• 3–5 years hands-on experience in data science and ML.
• Proven ability to design and build Agile data science solutions.
• Strong SQL and analytics skills with problem-solving aptitude.

Responsibilities

• Participate in multiple data science projects from formulation to data preparation for ML/AI.
• Provide data science-based solutions to business problems of varying complexity.
• Apply data science concepts to develop models in Sales, Finance, HR, and Supply Chain.
• Interface with clients and senior leaders; communicate results clearly.
• Explain solutions to stakeholders; avoid black-box deployments.
• Collaborate with IT and business to understand constraints; participate in Agile teams.
• Generate hypotheses about business processes and create ML models and data pipelines.
• Monitor production ML model health and performance.

Skills

Data science

Machine learning

Analytical thinking

Communication

Agile

Tools

RStudio

Cloud platforms

SQL

Python

Job description

Responsibilities

• 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

• 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