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06/12 Sreekanth Nair
Talent Aquisition at Unacademy

Views:1345 Applications:112 Rec. Actions:Recruiter Actions:17

Unacademy - Data Scientist (5-10 yrs)

Bangalore Job Code: 772748

We are looking for a highly skilled, experienced and passionate data-scientist who can come on-board and help work on the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in a Production environment.

Basic Qualifications:

- 5+ years of experience in analytics, data science, machine learning or comparable role

- Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline

- Experience in building and deploying Machine Learning models in Production systems

- Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand

- Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL

- Strong communication skills: Ability to both formulate/understand the business problem at hand as well as the ability to discuss with non data-science background stakeholders

- Comfortable dealing with ambiguity and competing objectives

Preferred Qualifications:

- Experience in Text Analytics, Natural Language Processing

- Advanced degree in Data Science/Data Analytics or Math/Statistics

- Comfortable with data-visualization tools and techniques

- Knowledge of AWS and Data Warehousing

- Passion for building data-products for Production systems - a strong desire to impact the product through data-science techniques

Women-friendly workplace:

Maternity and Paternity Benefits

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