CN Solutions is a leading IT services and consulting company that specializes in providing first-class solutions for manpower requirements
With a team of experienced professionals, we are dedicated to identifying and shortlisting potential candidates based on client requirements
Our expertise includes web technologies, databases, software testing, CRM, ERP, data warehousing, middleware, ESM, business analysis, cyber security, IT infrastructure, and SAP hiring
We offer a range of services including staffing solutions, leadership hiring, RPO, and general staffing.
Job Overview
CN Solutions is seeking a talented and experienced Data Scientist to join our team
As a Data Scientist, you will be responsible for analyzing complex datasets to identify trends, patterns, and insights that will drive business decisions
This role requires a strong knowledge of machine learning algorithms, statistical analysis, and programming
The ideal candidate should have 4 to 6 years of experience as a Data Scientist, excellent problem-solving skills, and a passion for leveraging data to solve complex problems
This is a full-time position located in Bangalore, Karnataka, India, with the opportunity to work on cutting-edge projects.
Qualifications And Skills
Bachelor's degree in Computer Science, Statistics, or a related field; Master's degree preferred
4 to 6 years of experience as a Data Scientist, preferably in a mid-level role
Proficient in programming languages such as Python or R
Strong knowledge of machine learning algorithms and statistical analysis techniques
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus
Excellent problem-solving and critical thinking skills
Strong communication and presentation skills
Ability to work effectively in a cross-functional team environment
Roles And Responsibilities
Analyze large and complex datasets to identify trends, patterns, and insights
Develop and implement machine learning models and algorithms
Apply statistical analysis techniques to interpret data and derive meaningful conclusions
Collaborate with cross-functional teams to define business requirements and project objectives
Design and create data visualizations to effectively communicate findings to stakeholders
Stay updated with the latest advancements in data science and machine learning
Identify opportunities to leverage data to drive business growth and optimize processes
Provide guidance and mentoring to junior data scientists