Senior Data Scientist

Cynosure Corporate Solutions; Chennai District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Cynosure Corporate Solutions is seeking an experienced Senior Data Scientist to design and implement data-driven solutions that inform business decisions. You will work with cross-functional teams to translate complex analytics into actionable insights and scalable models.

The role requires 5+ years in data science or ML, strong Python skills, and proven ability to communicate results to both technical and non-technical stakeholders.

Qualifications

• Bachelor’s, Master’s, or PhD in Mathematics, Computer Science, Information Systems, Statistics, Applied Mathematics, Machine Learning, or a closely related field.
• 5+ years in data science or machine learning focusing on predictive models and analytics solutions for real-world business problems.
• Strong proficiency in Statistical Modeling, Machine Learning algorithms, and Python programming.

Responsibilities

• Leverage statistical modeling and machine learning techniques to solve business challenges across diverse industries.
• Design and implement scalable data-driven solutions to address business needs and improve decision-making.
• Perform data analysis, interpret results, and develop compelling data visualizations to communicate insights.
• Contribute to the creation, maintenance, and enhancement of data models and analytical tools.
• Collaborate with cross-functional teams to ensure insights are actionable and aligned with business goals.
• Present data findings and recommendations clearly to both technical and non-technical stakeholders.
• Support the development and continuous improvement of data processes and methodologies.

Skills

Statistical Modeling

Machine Learning

Python programming

Time management

Communication skills

Agile experience

Remote collaboration

Education

Bachelor’s/Master’s/PhD in Mathematics/CS/IS/Statistics/Applied Mathematics/Machine Learning or related field

Job description

Cynosure Corporate Solutions | Full time

Cynosure Corporate Solutions is a human capital services company. Our focus is to provide Executive Search, Recruitment, Training, Temporary Staffing services, Statutory Compliance's, and other HR aligned services. We understand the business goals of our clients and their need to align human resources to these goals. We are committed to provide high quality manpower in accordance to global standards and their requirements. Our candidates stand testimony to our professional competency.

We work with clients in IT/ITES, Manufacturing, Automobile, Health, Telecom, Media.

Job Description

• Leverage advanced statistical modeling and machine learning techniques to solve business challenges across diverse industries.
  


• Design and implement scalable data-driven solutions to address business needs and improve decision-making.
  


• Perform data analysis, interpret results, and develop compelling data visualizations to communicate insights.
  


• Contribute to the creation, maintenance, and enhancement of data models and analytical tools.
  


• Collaborate with cross-functional teams to ensure insights are actionable and aligned with business goals.
  


• Present data findings and recommendations clearly to both technical and non-technical stakeholders.
  


• Support the development and continuous improvement of data processes and methodologies.
  

Requirements

• Bachelor’s, Master’s, or PhD degree in Mathematics, Computer Science, Information Systems, Statistics, Applied Mathematics, Machine Learning, or a closely related field.
  


• 5+ years of experience in data science or machine learning, focusing on building predictive models and analytics solutions for real-world business problems.
  


• Strong proficiency in Statistical Modeling, Machine Learning algorithms, and Python programming.
  


• Ability to manage multiple tasks simultaneously with strong organizational and time management skills.
  


• Proven ability to effectively communicate complex analytical insights in a clear and concise manner.
  


• Experience working in agile development environments, contributing to projects with a focus on delivering business value.
  


• Demonstrated ability to work independently as well as part of a collaborative, remote team.