Lead Data Scientist

Asper.ai; Bengaluru; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Asper.ai, a Fractal company, is seeking a Lead Data Scientist in Bengaluru to drive the design and deployment of AI-powered demand planning solutions. You will own end-to-end data science projects, from problem scoping to model deployment, collaborating with cross‑functional teams to deliver measurable business impact for global clients.

The role focuses on building time-series models for forecasting, pricing, and inventory management, while advancing production pipelines and monitoring

Qualifications

• 7+ years of experience in data science, machine learning, or analytics roles.
• Experience with time series analysis, forecasting, and predictive modelling.
• Proficient in Python (NumPy, pandas, Scikit-learn, TensorFlow, or PyTorch), SQL, and Excel.
• Familiarity with deploying machine learning solutions and managing model lifecycle.
• Ability to work with engineering and product teams to scope and deliver projects.
• Ability to explain modelling choices, data assumptions, and outcomes to stakeholders.

Responsibilities

• Conduct exploratory data analysis to uncover trends, patterns, and insights from complex datasets.
• Design, train, and deploy machine learning models for time series use cases such as demand forecasting, inventory management, and pricing.
• Extract data insights, create visualizations, and communicate findings to technical and non-technical stakeholders.
• Build and maintain data science pipelines for model development, deployment, monitoring, and updates.
• Collaborate with engineering, product, and business teams to integrate models into production systems and align with client goals.
• Research and prototype new algorithms and modelling techniques to improve solution performance.
• Monitor and evaluate model performance and iterate based on findings.

Skills

Time series

Forecasting

Python

SQL

Data visualization

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Job description

Company Overview : Asper.ai, a Fractal company, enables interconnected and automated decisions at the intersection of demand and supply. By changing how decisions are made, Asper.ai unlocks growth and transforms organizations into adaptive, intelligent enterprises. Through its ‘autonomic decisioning’ platform, Asper.ai works with data to provide proactive, interconnected, and automated decisions that help customers reach their true potential – from optimizing workflows to growing the bottom line

Job Title : Lead Data Scientist

Exp Range : 7-12 years

Notice Period : 15-30 days

Position Overview : As a Lead Data Scientist, you will be instrumental in shaping Asper. Ai’s next-generation AI-driven demand planning and optimization products. You will lead the design and deployment of data science solutions that power our core decision intelligence engine driving measurable business impact for our global clients. From problem scoping to model deployment, you will own the full data science lifecycle and work closely with cross-functional teams to integrate intelligence into key decision-making workflows.

What you are going to do

• Conduct exploratory data analysis to uncover trends, patterns, and insights from complex datasets
• Design, train, and deploy machine learning and deep learning models for time series use cases such as demand forecasting, inventory management, and pricing
• Extract data insights, create visualizations, and communicate findings to technical and non technical stakeholders
• Build and maintain data science pipelines for model development, deployment, monitoring, and updates
• Collaborate with engineering, product, and business teams to integrate models into production systems and align with client goals
• Research and prototype new algorithms and modelling techniques to improve solution performance
• Monitor and evaluate model performance and iterate based on finding.

What we are looking for

• 7+years of experience in data science, machine learning, or analytics roles
• Experience with time series analysis, forecasting, and predictive modelling.
• Proficient in Python (NumX, pandas, Scikit-learn, TensorFlow, or PyTorch), SQL, and Excel
• Familiarity with deploying machine learning solutions and managing model lifecycle
• Ability to work with engineering and product teams to scope and deliver projects
• Ability to explain modelling choices, data assumptions, and outcomes to stakeholders
• Exposure to statistical methods, optimization, and model monitoring frameworks
• Prior experience working in CPG, FMCG, or retail industries is a plus.