data scientist

Skills:.
Data science, python, soark, Azure, Mango, panda,.
Company Overview.
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.