Noon - Data Scientist

Company Description :

Young, fun, and original, Namshi is the Middle East's number one online fashion destination. Style- obsessed, 20-something customers choose Namshi for its aspirational yet accessible product selection, huge choice of brands, and authentically urban aesthetic.

Enthusiastic and dynamic individuals across more than 24 nationalities and speaking 17 languages make up the teams at Namshi. Every person working within our eleven departments brings innovation, creativity, and hustle to this fast-paced e-commerce hub.

So, whether it - s the latest trends or innovative technologies that excites you, we welcome you to explore 'Life at Namshi' and join us in our journey. You could be the next person to join the Namshi family!

Job Overview :

We are seeking a talented and motivated Data Scientist to join our AI team and contribute to the development of advanced data-driven solutions that will shape the future of e-commerce.

As a Data Scientist, you will play a pivotal role in leveraging data to create AI products for our ecommerce app, enhance customer experiences, optimize business processes, and create predictive and prescriptive models to support decision-making. You will collaborate with cross-functional teams, including engineers, product managers, and business users, to transform data into valuable information and drive business growth through AI-driven solutions.

Data Science :

- 4-6 year experience in Data Mining and ML Modelling

- Must have in-depth understanding of the workings of ML Algorithms such as Linear/Logistic Regression, SVM, CART, Random Forest, GBM, XGBoost, K-means, Embeddings, PCA etc.

- Able to write optimized queries on BigQuery and familiarity with GCP.

- Should know to production pipeline of ML Models, Model Lifecycle Management, Model Drift Management etc.

- Highly proficient in Python and well versed in writing modular codes. Familiarity with libraries like sklearn, statsmodel, matplotlib, seaborn is a must.

- Must have worked on at least one industry leading BI tools like Tableau, Power BI, Looker etc.

- Should know essential Statistical concepts for Data Science: A/B testing, Sampling Distributions, Hypothesis testing, Univariate, Bi-variate analysis etc.

- Familiarity with online retail business is a plus.

- Exposure to working in an agile environment with staging and production infrastructure.

- Ability to participate in deployment via workspace and GIT, for different sprints and follow agile practices of development.

Key Words: Machine Learning, Statistics, ML Ops, GCP