Data Scientist

Viraaj HR Solutions Private Limited; Maharashtra; Hybrid; INR 1,500,000 - 3,500,000; Full time

Job summary

Viraaj HR Solutions Private Limited in Maharashtra invites you to join a fast-scaling AI and analytics firm delivering data-led transformation for Fortune 500 and mid-market clients. You will design, train, and deploy ML models across marketing, risk, and operations, translating business KPIs into data-driven hypotheses.

The role emphasizes collaboration with engineering on MLOps, building dashboards in Power BI/Tableau, exploratory data analysis, and staying current with NLP, time-series, and

Qualifications

• Must possess strong Python and ML skills with hands-on model development.
• Experience in data wrangling, feature engineering, and model evaluation.
• Proficiency with SQL and BI tools (Power BI) for insights communication.

Responsibilities

• Design, train, and deploy machine learning models (classification, regression, clustering) to solve core business problems across marketing, risk, and operations.
• Translate business KPIs into data-driven hypotheses, build feature sets, and validate model performance using statistical rigor and A/B testing.
• Collaborate with engineering teams to productionize models using MLOps pipelines on cloud platforms (AWS/GCP/Azure).
• Develop dashboards and visualizations (Power BI/Tableau) to communicate insights to non-technical stakeholders with narrative-driven storytelling.
• Perform exploratory data analysis (EDA), clean raw datasets, and engineer scalable data pipelines using SQL, Python, and PySpark.
• Stay current with emerging ML techniques (LLMs, NLP, time-series forecasting) and propose innovation pilots aligned with business goals.

Skills

Python

Scikit-learn

Pandas

NumPy

SQL

Machine Learning

Statistical Modeling

Power BI

PySpark

TensorFlow / PyTorch

LLM fine-tuning

Job description

About The Opportunity

A fast-scaling AI & Analytics firm operating at the intersection of enterprise data science and business intelligence, we empower Fortune 500 and mid-market clients across BFSI, Retail, and Healthcare to drive data-led transformation. Our data scientists architect predictive models, automate decision-making frameworks, and extract actionable insights from petabyte-scale structured and unstructured datasets—deploying solutions that directly impact revenue, cost, and customer experience.

A fast-scaling AI & Analytics firm operating at the intersection of enterprise data science and business intelligence, we empower Fortune 500 and mid-market clients across BFSI, Retail, and Healthcare to drive data-led transformation. Our data scientists architect predictive models, automate decision-making frameworks, and extract actionable insights from petabyte-scale structured and unstructured datasets—deploying solutions that directly impact revenue, cost, and customer experience.

Role & Responsibilities

• Design, train, and deploy machine learning models (classification, regression, clustering) to solve core business problems across marketing, risk, and operations.
• Translate business KPIs into data-driven hypotheses, build feature sets, and validate model performance using statistical rigor and A/B testing.
• Collaborate with engineering teams to productionize models using MLOps pipelines on cloud platforms (AWS/GCP/Azure).
• Develop dashboards and visualizations (Power BI/Tableau) to communicate insights to non-technical stakeholders with narrative-driven storytelling.
• Perform exploratory data analysis (EDA), clean raw datasets, and engineer scalable data pipelines using SQL, Python, and PySpark.
• Stay current with emerging ML techniques (LLMs, NLP, time-series forecasting) and propose innovation pilots aligned with business goals.

Skills & Qualifications

• Must-Have
• Python
• Scikit-learn
• Pandas
• NumPy
• SQL
• Machine Learning
• Statistical Modeling
• Power BI
• Preferred
• PySpark
• TensorFlow / PyTorch
• LLM fine-tuning (HuggingFace, LangChain)

Benefits & Culture Highlights

• Work directly with global clients on high-impact projects—your models shape real business outcomes.
• Access to continuous upskilling via internal AI labs, Kaggle sponsorships, and certification reimbursements.
• Hybrid work flexibility, performance-linked bonuses, and rapid promotion paths for top performers.

Skills: python,models,machine learning,data