.. to develop the best AI inference for self-driving vehicle and advanced Driver safety engineers. Renesas is the leading automotive electronics supplier .. Experience working with machine learning frameworks such as PyTorch, TensorFlow, ONNX etc. Ability to speak and write in English at a business level. To .. read more
About Asper.AI
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.
Role Name: Data Scientist/Sr Data Scientist/Lead Data Scientist (Demand Forecasting)
Location: Bangalore | Hybrid
Reporting to: Director Data Science
No. of direct reports: NA/Senior Individual contributor role
Why work with us?
• Experience a fast paced, growing, and stable start-up with a culture of care at heart. You will be enabled to be your best every day – personally & professionally.
• Be a part of the AI revolution and bring to life solutions that make a difference to the world .
You will get to work with the latest technology in the field.
• Coming to work will not feel monotonous – you get to work with some of the brightest and the nicest colleagues you will meet and build bonds for life. We work hard and have fun together as well.
• Build for impact at scale with products that will fundamentally transform how CPG operates today and define for tomorrow.
Our Ethos:
Technology cannot do extraordinary things; it is people that make it happen. Our culture fosters collaboration, continuous learning, innovation, and an agile approach. A truly inspiring environment that lets you thrive personally and professional
What will you do?
- Understand domain context and conduct exploratory data analysis to determine the best data science approach for the customer.
- Identify how the data science approach can be executed via the product pipeline and any customer specific configurations needed to achieve objectives.
- Train machine learning and deep learning models on large scale time series datasets
- Use data wrangling and exploration to extract insights and relationships from the data
- Perform descriptive analysis and build visualizations to help customer understand what drives the business metrics
- Identify and measure levers to help move essential metrics and make recommendations.
- Perform accuracy analysis to identify opportunities for performance improvement on specific slices of data and ensure high performance across all slices
- Develop end to end automated pipelines for use cases like inventory management, price recommendation, demand forecasting etc.
- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems
- Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.
What you bring in experiences?
- 3+ years of experience as a data scientist, applied scientist, data analyst, machine learning engineer or a related role
- Bachelor's degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain
- Experience working with demand forecasting, supply chain optimization, driver analysis, time series analysis, statistical models, regression models and deep learning models
- Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA (Exploratory Data Analysis), modelling, insights, visualizations, monitoring, and maintenance
- Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML (Machine Learning) algorithms
- Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes
- Expertise in exploratory data analysis, visualizations, ETL, hypothesis testing, experimentation, automation, etc.
- Proficiency in Python (including packages like NumPy, pandas, Sklearn, Py torch, TensorFlow, matplotlib), SQL and Excel.
It would be awesome, if you also have experience working in CPG, FMCG or retail industry!