Position : Data Scientist
Location : Gurgaon
Job description :
Shopclues is looking for talented Data scientists passionate about building large scale data processing systems to help manage the ever-growing information needs of our clients.
Education :
- PhD/MS or equivalent in Applied mathematics, statistics, physics, computer science or operations research background.
- 4+ years experience in a relevant role.
Skills :
- Passion for understanding business problems and trying to address them by leveraging data - characterized by high-volume, high dimensional from multiple sources
- Ability to communicate complex models and analysis in a clear and precise manner
- Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.
- Experience using R, SAS, Matlab or equivalent statistical/data analysis tools. Ability to transfer that knowledge to different tools
- Experience with matrices, distributions and probability
- Familiarity with at least one scripting language - Python/Ruby
- Proficiency with relational databases and SQL
Responsibilities :
- Has worked in a big data environment before alongside a big data engineering team (and data visualization team, data and business analysts)
- Translate client's business requirements into a set of analytical models
- Perform data analysis (with a representative sample data slice) and build/prototype the model(s)
- Provide inputs to the data ingestion/engineering team on input data required by the model, size, format, associations, cleansing required
- Identify/Provide approach and data to validate the model(s)
- Collaborate with a technology/data engineering team to transfer the business understanding, get the model product ionized and validate the output along with business users
- Understand business challenges and goals of a client to formulate the approach for data analysis and model creation that will support their business decision making
- Work in highly collaborative teams that strive to build quality systems and provide business value
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