Data Scientist Job

Job Title: Data Scientist
Location: Bangalore
Experience Required: 6 Years
Open Positions: Senior Data Scientists, Lead Data Scientists
Availability: Immediate Joiners Preferred
Work Arrangement: 5 Days in Office
Client: Direct work with the clientJob Description
We are seeking experienced and highly skilled Senior Data Scientists and Lead Data Scientists to join our team in Bangalore. The selected candidates will be working closely with our client in a dynamic and collaborative environment.
Responsibilities:
Develop, deploy, and maintain advanced statistical models and machine learning algorithms.
Conduct hypothesis testing and statistical analysis to guide business decisions.
Build and optimize classification, clustering, and regression models to solve complex business problems.
Analyze and interpret complex data sets, providing actionable insights to drive business strategy.
Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
Visualize and present data insights and model outputs using Python to stakeholders.
Mandatory Skills:
Data Science Expertise: Strong foundation in data science with the ability to apply it effectively in real-world scenarios.
Python Proficiency: Expert-level skills in Python programming for data manipulation, model building, and data visualization.
Machine Learning: Deep understanding of machine learning concepts and experience in applying them to solve business problems.
Statistical Models: Experience in developing and working with statistical models, including hypothesis testing and model validation.
Business Understanding: Ability to align data science projects with business objectives and deliver impactful results.
Domain Knowledge: Experience in the Consumer Packaged Goods (CPG) domain is highly desirable.
Desired Skills:
Strong analytical thinking and problem-solving skills.
Ability to work independently and as part of a team.
Excellent communication skills for conveying complex technical information to non-technical stakeholders.
Experience with data visualization tools and libraries in Python.

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.