You apply on Vrinda International's website. CoreHRx takes you there after you sign in.
CoreHRx never asks candidates for money. If anyone does, .
Role at a glance
You will
Design and implement statistical models and algorithms to analyze large datasets and extract meaningful patterns.
Develop and deploy machine learning models into production environments to ensure scalability and reliability.
Create compelling data visualizations and reports to communicate findings and strategic recommendations to stakeholders.
Experience
3–5 years
Must-have skills
Data VisualizationModel DeploymentPythonStatistics
How well do your skills match this job?
Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Job description
Data Scientist
Summary
We are seeking a highly skilled Data Scientist to join our IT Services team. In this pivotal role, you will leverage advanced statistical techniques and machine learning methodologies to drive innovation and solve complex business challenges. Your expertise will be instrumental in transforming raw data into actionable insights, supporting research and development initiatives, and deploying robust predictive models that enhance our service offerings. This position is ideal for a professional with a strong foundation in data science who thrives in a dynamic environment and is eager to contribute to cutting-edge projects.
Responsibilities
Design and implement statistical models and algorithms to analyze large datasets and extract meaningful patterns.
Develop and deploy machine learning models into production environments to ensure scalability and reliability.
Create compelling data visualizations and reports to communicate findings and strategic recommendations to stakeholders.
Conduct rigorous research and development (R&D) to explore new AI methodologies and improve existing analytical frameworks.
Utilize statistical computing tools to perform complex analyses, hypothesis testing, and probability assessments.
Collaborate with cross-functional teams to identify data needs and deliver data-driven solutions aligned with business objectives.
Maintain and optimize Python or R codebases for efficiency and performance in data science workflows.
RequirementsRequirements:
Possess 3 to 5 years of professional experience in data science or a related field within the IT services sector.
Demonstrate a salary expectation within the range of ₹15-20 LPA.
Exhibit strong proficiency in Statistics & Probability and Statistical Modeling.
Have hands-on experience with Data Visualization tools and techniques.
Be well-versed in AI Methodologies and the principles of Data Science.
Show proven capability in ML Model Deployment and Statistical Computing.
Possess advanced programming skills in Python or R.
Display a solid background in Research and Development (R&D) activities.
Key skills
Required
Data VisualizationModel DeploymentPythonStatistics
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
Questions you may be asked
What is the difference between mutable and immutable types in Python?
What is the difference between a list and a tuple?
