Consultant

Mployee.me; Delhi; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Mployee.me is seeking a highly analytical Data Scientist to transform complex data into actionable business insights. You will work on predictive modeling, BI solutions, NLP, and dashboard development to support data-driven decisions.

The role emphasizes Python, SQL, ML, statistical analysis, and advanced visualization with Power BI, Tableau, and Excel. 0–2 years of experience preferred in a fast-paced tech environment.

Qualifications

• MCA / Masters in Computer Applications or related discipline.
• End-to-end ML project development and deployment experience.
• Experience building dashboards and reporting automation solutions.
• Knowledge of NLP, Generative AI, and Explainable AI (SHAP) is an advantage.
• Research publication experience is desirable.
• Experience Level 0-2 Years

Responsibilities

• Develop, train, and evaluate ML models for prediction, classification, clustering.
• Perform data extraction, transformation, and analysis using Python and SQL.
• Build interactive dashboards and reports using Power BI, DAX, and Excel.
• Conduct EDA and generate insights from structured and unstructured data.
• Work with large datasets from APIs, databases, and cloud platforms like BigQuery.
• Collaborate with stakeholders to translate requirements into analytics solutions.
• Develop NLP solutions using transformer models and modern AI frameworks.
• Create data storytelling presentations and visualizations for business users.
• Document methodologies, findings, and recommendations for stakeholders.
• Support research, experimentation, and deployment of AI/ML solutions.

Skills

Python

SQL

R

ML

Data Analysis

Data Visualization

Databases

NLP

Transformer Models

Streamlit

GitHub

Analytics

Statistical Modeling

Predictive Analytics

Feature Engineering

Data Storytelling

Business Insights

Problem Solving

Education

MCA / Masters in Computer Applications

Tools

Power BI

Tableau

Excel

Hugging Face

GPT-based models

SHAP

Job description

Job Summary

We are looking for a highly analytical and motivated Data Scientist to join our team. The ideal candidate should have strong expertise in Python, SQL, Machine Learning, Statistical Analysis, and Data Visualization, with the ability to transform complex datasets into actionable business insights. The candidate will work on predictive modeling, business intelligence solutions, NLP applications, and dashboard development to support data-driven decision-making.

Responsibilities

• Develop, train, and evaluate Machine Learning models for prediction, classification, and clustering use cases.
• Perform data extraction, transformation, and analysis using Python, SQL, and statistical techniques.
• Build interactive dashboards and reports using Power BI, DAX, and Excel.
• Conduct exploratory data analysis (EDA) and generate business insights from structured and unstructured datasets.
• Work with large datasets from APIs, databases, and cloud platforms such as BigQuery.
• Collaborate with business and technical stakeholders to understand requirements and deliver analytical solutions.
• Develop NLP-based solutions using transformer models and modern AI frameworks.
• Create data storytelling presentations and visualizations for business users.
• Document methodologies, findings, and recommendations for stakeholders.
• Support research, experimentation, and deployment of AI/ML solutions.

Required Skills

• Python
• SQL
• R
• Machine Learning using Scikit-learn, TensorFlow, and PyTorch
• Data Analysis using Pandas, NumPy, SciPy, and Statsmodels
• Data Visualization using Power BI (DAX, Power Query), Tableau, and Excel
• Database Management: SQL Server, MySQL, MongoDB, SQLite
• NLP and Transformer Models (Hugging Face, GPT-based models)
• Streamlit
• GitHub and Version Control
• Analytical Skills
• Statistical Modeling
• Predictive Analytics
• Feature Engineering
• Data Storytelling
• Business Insight Generation
• Problem Solving

Qualifications

• MCA / Masters in Computer Applications or related discipline.
• Exposure to end-to-end ML project development and deployment.
• Experience building dashboards and reporting automation solutions.
• Knowledge of NLP, Generative AI, and Explainable AI (SHAP) is an advantage.
• Research publication experience is desirable.
• Experience Level 0-2 Years

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.