Data Scientist-Advanced Analytics

IBM Computing; Chennai District; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

IBM Consulting is seeking a Data Scientist with Advanced Analytics to leverage data and analytics expertise for business challenges. You will prepare, analyze, and model data to forecast trends and propose optimizations that drive better outcomes.

Responsibilities include building predictive models, handling diverse data, and communicating insights via visualization tools, with applied ML and optimization using CPLEX and Gurobi.

Qualifications

• Proficiency in Python and data science tooling for analytics and modeling.
• Experience with Pandas, NumPy, and data visualization libraries.
• Experience with SQL and NoSQL databases and scripting.
• Knowledge of optimization tools like IBM CPLEX and Gurobi.
• Experience with CI/CD and version control systems.

Responsibilities

• Develop Predictive Models: optimization, discrete-event simulation, and predictive analytics.
• Analyze Diverse Data Types to enable data-driven decisions.
• Implement Data Visualization to communicate insights to stakeholders.
• Apply Machine Learning techniques to business problems across domains.
• Use IBM CPLEX and Gurobi to identify opportunities and implement solutions.

Skills

Python

PyCharm

VS Code

Jupyter Notebooks

Pandas

NumPy

Dask

Matplotlib

Seaborn

Plotly

SQL

MongoDB

Cassandra

PostgreSQL

MySQL

Shell scripting

IBM CPLEX

Gurobi

SPSS

SAS

R

Git

GitHub

GitLab

Docker

Podman

Jenkins

Tools

Docker

Kubernetes

GitHub

GitLab

Jupyter Notebooks

Job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Data Scientist with Advanced Analytics skills, you will leverage deep data and analytics expertise with strong business acumen to address business challenges. You will utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. Your primary responsibilities will include:

• Develop Predictive Models: Utilize mathematical optimization, discrete-event simulation, rules programming, and predictive analytics to forecast trends and suggest optimizations for improved business outcomes.


• Analyze Diverse Data Types: Effectively manage and analyze diverse data types and structures, ensuring data-driven decision-making and business optimization.


• Implement Data Visualization: Use data visualization tools like Matplotlib, Seaborn, and Plotly to communicate insights and recommendations to stakeholders.


• Apply Machine Learning Techniques: Apply machine learning, statistical modeling, and custom models to solve business problems in areas like supply chain management, pricing, risk assessment, and fraud detection.


• Optimize Business Outcomes: Use optimization tools like IBM CPLEX and Gurobi to identify opportunities for business improvement and implement solutions.

Required technical and professional expertise

• Proficiency in Programming Languages: Exposure to programming languages, particularly Python, and experience working with development environments like PyCharm, VS Code, and Jupyter Notebooks.


• Data Manipulation and Analysis: Experience working with data manipulation tools such as Pandas, NumPy, and Dask, and data visualization tools like Matplotlib, Seaborn, and Plotly.


• Database Management: Exposure to managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL, including scripting abilities in shell scripting.


• Optimization and Statistical Analysis: Experience with optimization tools like IBM CPLEX and Gurobi, and statistical analysis capabilities with tools like SPSS, SAS, R, and Python.


• Version Control and CI/CD: Exposure to version control systems such as Git, GitHub, and GitLab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins.

Preferred technical and professional experience

• Familiarity with Cloud Platforms: Exposure to cloud-based data platforms and technologies, enabling seamless data integration and scalability.


• Knowledge of Big Data Tools: Experience working with big data tools and technologies, such as Hadoop and Spark, to handle large-scale data processing and analysis.


• Understanding of Domain-Specific Models: Exposure to domain-specific models and techniques, such as natural language processing and computer vision, to drive business value in specialized areas.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.