About Asper. Ai:
At Asper. Ai , we are transforming organizations into adaptive, intelligent enterprises by enabling autonomic decisioning at the intersection of demand and supply. Powered by cutting-edge AI and machine learning, our platform automates complex decision-making processes, unlocking growth and optimizing workflows across industries like CPG , retail , and supply chain management . As part of the Fractal family , we aim to revolutionize business decision-making by delivering data-driven insights that drive measurable results.
About the Role:
We are seeking an experienced Senior Data Scientist / Lead Data Scientist to join our growing team. In this pivotal role, you will harness your expertise in machine learning , deep learning , and data science to solve complex business challenges, particularly in demand forecasting , supply chain optimization , and price recommendation .
As a key member of our team, you will be responsible for designing, developing, and deploying end-to-end data science solutions , from problem scoping to production deployment. You will also continuously improve model performance and drive innovations that impact the core of our clients' decision-making processes.
Job Title:
Lead Data Scientist
Location:
Bangalore | Hybrid
Reporting to:
Director of Data Science
Position Type:
Senior Individual Contributor
Responsibilities:
- Conduct thorough exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from complex datasets.
- Design, train, and deploy machine learning and deep learning models on large-scale time series data for applications such as demand forecasting , inventory management , and price optimization .
- Extract data insights , create visualizations , and communicate findings effectively to both technical and non-technical stakeholders.
- Build and maintain automated data science pipelines for model development, deployment, monitoring, and performance optimization.
- Collaborate with cross-functional teams, including engineering , product development , and client-facing teams , to integrate models into business processes and ensure alignment with client goals.
- Research and prototype new machine learning algorithms and statistical models to continuously innovate and improve solutions.
- Monitor and evaluate model performance, identifying opportunities for improvement and optimization.
What We’re Looking For:
- 5+ years of experience in Data Science , Machine Learning , or related fields, with expertise in demand forecasting , supply chain optimization , time series analysis , and statistical modeling .
- Must have experience in CPG , FMCG , or retail industries to understand the specific challenges and opportunities in these domains.
- Proficiency in Python (Num Py, pandas, Scikit-learn, Py Torch, Tensor Flow), SQL , and Excel for data analysis, modeling, and reporting.
- Experience in building and deploying end-to-end data science pipelines including data gathering, modeling, deployment, and monitoring.
- Expertise in time series modeling , machine learning , deep learning , and statistical analysis techniques.
- Strong problem-solving skills with the ability to break down complex problems into manageable components and deliver efficient solutions.
Why Join Asper. Ai?
- Play a crucial role in transforming how businesses in the CPG , retail , and supply chain industries make data-driven decisions.
- Work on cutting-edge AI/ML projects that push the boundaries of decision-making automation.
- Collaborative and inclusive work culture that encourages innovation and personal growth.
- Be part of a fast-growing, innovative AI company with opportunities for career development and leadership.
What We Offer:
- Competitive salary and benefits package.
- A dynamic, inclusive work environment that promotes continuous learning and growth.
- Opportunities to work on impactful projects that will shape the future of decision-making at scale
Ready to make a difference and be part of an AI-driven revolution? If you’re passionate about data science and solving complex challenges in the CPG , FMCG , or retail industries, we’d love to hear from you!