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Fountain9

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5.0

based on 1 Review

8 Fountain9 Jobs

Sr . Data Scientist / Data Scientist

fountain9

5.0

based on 1 Review

2-7 years

Mumbai

1 vacancy

Sr . Data Scientist / Data Scientist

Fountain9

posted 6mon ago

Job Role Insights

Key skills for the job

Computer Science SQL Machine Learning Information Technology French Language Big Data Analytics

+ 3 more

Job Description

We are looking for a Data Scientist/Data Analyst who has hands-on experience with data wrangling and ETL pipelines, statistical analysis and building ML models. As a Data Scientist/Analyst, you ll work closely with the founders, tech leads and backend engineers to build a next-gen AI-powered SaaS solution to help companies optimize their supply chains, reduce wastage, and become more efficient, sustainable and profitable.

If you enjoy working in a fast-paced dynamic environment, love working on new challenges and care deeply about building innovative and beautiful products that users love, then we might be a right fit for you.

As a part of this role, you ll experience how companies are built from ground up, and get to own and lead critical parts of the product roadmap.

Responsibilities

Analyze large volumes of data to extract actionable product and customer insights.

Build and maintain data pipelines to clean and transform large datasets to be fed into the ML models

Collaborate with a cross functional team of engineers, product managers to develop, test and deploy new algorithms and models

Minimum Qualifications

B. Tech/B. Eng in Computer Science or Information Technology from a reputed university

2+ years experience in pandas/dask/spark or other similar technologies

Expertise in advanced SQL as well as spreadsheets

Working knowledge of statistical analysis and machine learning

Any experience on dashboards, data visualizations or big-data analytics products is a plus

Preferred Qualifications

Hands-on experience of building and evaluating ML models along with strong theoretical foundations of ML algorithms (e.g. regression, classification, feature selection)