Assistant Manager – Engineering Systems

KOHLER India; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

KOHLER India is on the lookout for a highly skilled and motivated Senior Data Scientist to join its team in Maharashtra. The successful candidate will leverage advanced analytics, machine learning, and statistical techniques to extract crucial insights from complex datasets, thus driving data-informed decision-making across the organization.

With 7–10 years of relevant experience, candidates should possess strong proficiency in Python along with knowledge of SQL, data visualization tools, and collaborative skills.

Qualifications

• 7–10 years in data science, analytics, or related roles.
• Strong proficiency in Python and usage of data manipulation libraries.
• Experience with SQL and data processing.

Responsibilities

• Collect, clean, and preprocess large datasets from multiple sources.
• Design predictive models and machine learning algorithms.
• Generate actionable insights through exploratory data analysis.
• Implement data pipelines for efficient data processing.
• Collaborate with cross-functional teams to deliver solutions.

Skills

Data Science

Machine Learning

Python

SQL

Statistical Modeling

Data Visualization

Collaborative Skills

Education

Bachelor’s or master’s degree in computer science, Statistics, Mathematics

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Power BI

Spark

Hadoop

Azure

Job description

We are seeking a highly skilled and motivatedSeniorData Scientistto join our team. The ideal candidate will leverage advanced analytics, machine learning, and statistical techniques to extract insights from complex datasets and drive data-informed decision-making across the organization.

Key Responsibilities:

• Collect, clean, and preprocess large datasets from multiple sources.
• Design and development of predictive models and machine learning algorithms to solve business problems.
• Perform exploration data analysis and generate actionable insights.
• Design and implement data pipelines for efficient data processing.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Communicate findings through clear visualizations, dashboards, and executive reports.
• Stay ahead of emerging trends in AI/ML and guide adoption of best practices.

Required Skills & Qualifications:

• Experience:7–10 years in data science, analytics, or related roles.
• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or related field.
• Strong proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Hands‑on experience with SQL and data manipulation.
• Solid understanding of statistical modeling, hypothesis testing, and machine learning techniques.
• Familiarity with big data tools (e.g., Spark, Hadoop) and Azure cloud platforms is a plus.
• Excellent problem-solving skills and ability to work in a collaborative environment.
• Good to have Knowledge of product development processes.

Preferred Qualifications:

• Experience in deploying ML models into production environments.
• Knowledge of data visualization tools Power BI.
• Proven track record of delivering enterprise‑level AI/ML solutions.
• Strong communication skills to present technical concepts to non‑technical stakeholders.