Data Scientist

Role : Data Scientist

Work Location: ~Siruseri-EB4 Chennai ~Bangalore-Brigade-Bhuwalka Icon~ Adibatla Unit- 3 SEZ~

Skills Required: Digital : Data Science

Experience Required: 10 & Above

We are seeking an experienced Data Scientist with 8+ years of hands-on expertise in data handling, analytics, and advanced modelling. The ideal candidate will play a pivotal role in driving data-driven decisions and delivering actionable insights for our Consumer Products Group, specifically within the Manufacturing Execution Systems (MES) domain.

Key Responsibilities

• Design, develop, and implement advanced statistical models and machine learning algorithms to solve complex business problems.

• Collaborate with cross-functional teams including MES engineers, product managers, and IT stakeholders to identify data opportunities.

• Perform data wrangling, cleansing, and transformation for large-scale structured and unstructured datasets.

• Develop predictive and prescriptive analytics solutions to optimize manufacturing processes and improve operational efficiency.

• Create dashboards and visualization tools to communicate insights effectively to business leaders.

• Ensure data governance, security, and compliance with organizational standards.

• Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation.

Required Qualifications

• Bachelor's or master’s degree in data science, Computer Science, Statistics, or related field (Ph.D. preferred).

• 8+ years of hands-on experience in data science roles with a strong focus on analytics and modeling.

• Proficiency in Python, R, SQL, and experience with big data platforms (Hadoop, Spark).

• Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Strong knowledge of MES systems and manufacturing domain data challenges.

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

• Excellent communication and stakeholder management skills.

Preferred Skills

• Advanced knowledge of statistical analysis and hypothesis testing.

• Experience in deploying machine learning models into production environments.

• Familiarity with CI/CD pipelines for data science workflows.

• Strong problem-solving and critical-thinking abilities.