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26/04 Niha
Account Manager at Recruin

Views:241 Applications:74 Rec. Actions:Recruiter Actions:71

Data Scientist - eCommerce (2-5 yrs)

Bangalore Job Code: 918401

We are looking for Data Sceintist with strong ML/DL background and solid software development skills, who can utilize data-driven techniques in building solutions to help manage, scale and optimize recommender system operations. You will help scope out projects, build engines to detect spam, nudity hate speech on the platform and also build powerful recommendation engines. From a technical perspective, you will have opportunities to explore and apply cutting-edge AI technologies to solve real-wold system operational challenges in live production environment. You will take ownership for end-to-end application of ML/DL techniques, tracking its performance and iterate over time, and will sharpen your skills for robust software implementation and cross-team collaboration.

Responsibilities :

- Develop set processes for data mining, data modeling, and data production

- Design and implement ML/DL algorithms to solve system operational challenges in an end-to-end fashion

- Continuously make recommendations/predictions based on analytics insights to optimize system efficiency and improve underlying system infrastructure's availability.

- Collaborate with members of your team (e.g., data engineers, domain experts) on the project's goals.

Qualifications

Minimum Qualifications

- Bachelor's or above degree in Computer Science/statistics/math major

- Familiar with ML/DL modeling approaches

- Able to troubleshoot and tune model performance issues

- Strong programming skills in Python or Java

- Fast learner and eager to absorb new emerging technologies

- Enjoy working with other team members with strong collaboration and communication skills

Preferred Qualifications :

- Proven experience in the application of ML/DL techniques in: anomaly detection, prediction, recommendation

- Familiar with large data processing/storage tools such as Kafka, Flink, Spark, ElasticSearch, Redis, Hbase, Cassandra, Druid etc

What we offer:

- High pace of learning

- Opportunity to build data science team and stack from scratch

- Opportunity to build large scale, high availability, real time ML engines

- High autonomy and ownership

- A great and ambitious team to work with

- Opportunity to work on something that really matters

- Top of the class market salary and meaningful ESOP ownership

We would be the best fit for you if:

- You like working in a high accountability, high responsibility environment

- Want to work on something meaningful instead of just following the herd

- Want to learn other facets of company building, even more so if you want to be an entrepreneur in future

- You like working in a high accountability, high responsibility environment

- You are intersted building in communities space - Interest trumps experience!

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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