onsite
Data Scientist
Data Scientist
Asper.ai is seeking an Entry-Level Data Scientist to train and maintain machine learning and deep learning models on large-scale time series data. This role involves using data wrangling, exploration, and descriptive analysis to extract insights, perform accuracy analysis, and collaborate with engineering and product teams to implement models.
About the role
About Asper.ai
Asper.ai, a Fractal company, enables interconnected and automated decisions at the intersection of demand and supply. By changing the way 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 not just provide proactive decisions but to provide interconnected and automated decisions that help customers reach their true potential – from their bottom-line results to optimize their workflows.
Job Responsibilities:
- Train machine learning and deep learning models on large scale time series datasets.
- Maintain, refine and upgrade the AutoML engine for dynamic demand forecasting.
- 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.
- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client 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.
Experience Required:
- 1 to 4 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 working on various steps of developing a data science solution, like problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.
- Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms.
- Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes.
- Expertise in exploratory data analysis, visualization, ETL, hypothesis testing, experimentation, automation, etc.
- Proficiency in Python (including packages like numpy, pandas, sklearn, pytorch, tensorflow, matplotlib), SQL and Excel.
Good to have:
- Experience working in CPG, FMCG or retail industry.
- Experience in working with Linux computing environment and use of command line tools.