Data Scientist

It's fun to work in a company where people truly BELIEVE in what they are doing
- We're committed to bringing passion and customer focus to the business._

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

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 professionalWhat 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.
- Well versed with Python Coding.
- 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
- 2-7 years of experience as a data scientist, applied scientist, 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, Revenue growth management, Pricing and

Promo Planning, calendar optimization, driver analysis, 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

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, Pytorch, TensorFlow,

matplotlib), SQL and Excel.

It would be awesome, if you also have experience working in CPG, FMCG or retail industry.What do we offer?

Visit us at

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us