Assistant Manager – Engineering Systems

Kohler; Pune District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Kohler in Pune, India invites a Senior Data Scientist to lead advanced analytics initiatives. You will build predictive models, design scalable data pipelines, and translate complex insights into business actions.

The role requires substantial experience in Python, ML libraries, and big data tools, with collaboration across functions to drive data-driven decisions.

Qualifications

• 7–10 years of experience in data science or analytics.
• Bachelor’s or master’s degree in CS, statistics, mathematics, or related field.
• Strong Python with Pandas, NumPy, scikit-learn, TensorFlow or PyTorch.
• Hands-on SQL and data manipulation; statistical modeling and ML methods.

Responsibilities

• Collect, clean and preprocess large datasets from multiple sources.
• Design and develop predictive models and ML algorithms.
• Perform exploration data analysis and generate insights.
• Design data pipelines for efficient processing.
• Collaborate with cross-functional teams to meet requirements.
• Communicate findings via visualizations, dashboards and exec reports.
• Stay ahead of AI/ML trends and promote best practices.

Skills

Python

Statistics & ML

Communication

Team collaboration

Big data basics

Education

Bachelor's or Master's in CS/Stats/Math

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark/Hadoop

Azure

Job description

Role Overview:

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.