Angara eCommerce - Data Scientist - Artificial Intelligence/Machine Learning

About the Company :

Angara E-Commerce Pvt. Ltd. is a fast-growing e-commerce company. It is a subsidiary company of Angara Inc. (Headquarters- Los Angeles, CA), world's one of the leading e-tail portals of Precious and Semi-Precious Colored Gemstone and Diamond Jewelry. In a span of ten years, Angara has grown to become a prominent player as an online gemstone jewelry store. Shipping to more than 64 countries worldwide, the company is expanding its reach across the globe. For more information, visit our website at www.angara.com.

What the role is all about :

- Do you pride yourself for your skill of innovation through data? Is Data Science your passion? If so, join us at Angara in building our data science platform and delivering exponential growth. If you area data enthusiast looking for opportunities to build data driven products, playing around with data, building models and deriving insights that directly affect the most core business, this is the place for you. We are looking for a go-getter who can transcend across teams, requirements and processes to build and deliver the right product. Be part of our success story.

Key Responsibilities :

- Designing, implementation & maintenance of various data and machine learning-based components and applications for the website.

- Work with large, complex data sets. Conduct end-to-end data analysis that includes data gathering and requirements specification, processing, analysis, visualization and delivering the necessary output.

- Build and prototype analysis pipelines iteratively to provide insights at scale.

- Understanding various data structure used across various products within the organization.

- Making business recommendations for effective use of data across various business functions.

- Day to day work involves NLP tasks like Information Extraction, Keyword Extraction or Keyword scoring as well as Recommendation & Personalization activities across various channels by building user profiles.

- The data models built must also be tested in real world environments for accuracy.

- Computational performance in running the models on various devices also needs to be achieved prior to delivering the models for deployment.

- Articulating business questions and using mathematical techniques to arrive at an answer using available data.

Desired Candidate's Profile :

- Experience of working with Data Science tools like: Python - Pandas, Matplotlib, scikit-learn, Nltk, NumPyb, Keras, Tensorflow, OpenCV, FastText etc.

- Should have actively built and deployed working data models as a Restful API. 

- Exposure towards deep learning using Tensorflow/CNTK.

- Command over programming in Python/Scala/R but we generally like people who are programming language agnostic.

- Exposure over working with Audio (speech), Image, Video or any other non-textual data would be a huge plus.

- Working knowledge of a query language SQL/MySQL.

- Strong knowledge of basics of data science incl computer science from basic Linear Regression to various RNNs.

- Should have applied experience with machine learning on large datasets.

- Must be able to identify and remove noise from data.

- Ability to select the right statistical tools in a given data analysis problem.

- Penchant to keep an eye on the latest happenings in the world of data science engineering across the world.

- Creating automated anomaly detection systems and constant tracking of its performance.

Additional Requirements :

- Bachelors/ MS or PhD in computer science, data mining, machine learning, statistics, math, engineering, operations Research, or other quantitative discipline.

- 2-5 years of experience working as a Data Scientist.

- Should be a fast learner and a self-starter, open to learning new tools.

- Must possess excellent communication (both verbal & written), documentation skills.

- Flexible and adaptable to change and ability to multitask.

- Ability to work with minimal supervision. Should be able to prioritize own workload to meet personal and team objectives.

- Good interpersonal skills with a clear ability to work effectively to fully understand customer requirements.

- Focused on the timely delivery of accurate result.