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19/02 Meenu
Senior HR Executive at Ecom Express

Views:484 Applications:130 Rec. Actions:Recruiter Actions:0

Data Scientist - eCommerce (1-6 yrs)

Gurgaon/Gurugram Job Code: 894047

Ecom Express Private Limited is a leading end-to-end technology enabled logistics solutions provider with a focus on speed and reliable nation-wide express delivery services to e-commerce industry.

When you become a member of Ecom Express Family, you will join a fast paced, dynamic team and play a key role in the Company's double-digit growth. Keeping the right people and enabling their personal growth is what drives our continuous success in the industry.

We're hiring for our Data Science Team.

You will be working on projects related to:

- Big Data - DE (AWS, Spark, Redshift, Big Data, Power BI)

- Routing Engine

- Geospatial analysis

- Geocoding/Address Parsing

- Network reliability

- OR - Simulation Engine


- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability

- Lead/Collaborate with a team of data scientists in developing and delivering machine learning models for production setting

- Improve key organizational metrics through developing data-science based solutions

- Perform data wrangling and due diligence activities on data quality

- Supervising the data acquisition & labeling process if more data is needed

- Performing Exploratory Data Analysis (EDA), defining the preprocessing or feature engineering to be done on a given dataset, developing Machine Learning models, validating models, deployment, etc.

- Collaborate with the application development team for deploying the models

- Proactively drive impact to business by owning the data science initiatives end-to-end and collaborating with other stakeholders

- Collaborate with the Operations, Network, Control Tower and Business Analysis team to develop cutting edge analytics solutions that improve the business

- Maintain thorough and comprehensive documentation of data science initiatives

- Develop robust work products by following best practices through all stages of development, testing & deployment

Women-friendly workplace:

Maternity and Paternity Benefits

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