Quantitative(Python + C#/ C++) Developer

Client of Forstaffing Published: September 22, 2016
Location
Mumbai(Andheri), India
Job Type

Description

Designation: Quantative(Pthon + C#/ C++) Developer

Experience required- 5-7 years

Reporting To: Architect
Vacancy: 1

Cab- No
Working Days: 5/6 (alternate Saturday off)
Shift: Day shift job

Job Location – Mumbai

Position type: permanent

Salary- upto 25L/annum (international travel @client site will be there)

Skills : Python, Machine Learning, SQL, Statistics, MongoDB, R, AWS/EC2/ELB/S3/DynamoDB

Personality Traits
- Obsession with data and its accuracy.
- Innate curiosity to find commercial insights from large sets of noisy data.
- Ability to work independently under tight deadlines with accountability.
- Strong results driven personality with a high level of enthusiasm, energy and confidence.
- Strong problem-solving skills.

Required Skills

- Degree in Computer Engineering, Economics, Statistics, Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or similar quantitative field is a pre-requisite.
- Experience in applied statistics including sampling approaches, experiments, modeling, and data mining techniques
- Experience building analytical models and working with structured and unstructured data sets
- Must have built applications End-to-End in C#, C++ or Python [Java experience is not relevant]
- Practical ETL experience with Python, R, Alteryx or alternatives.
- Expertise with Big Data technologies like Elastic Search, Hadoop, HDF5, Kafka, Hive/Hbase.
- Visualization Capability in D3.js or ggplot2
- NoSQL technology (MongoDB, Cassandra, CouchBase) experience is a bonus
- Any machine learning expertise is a bonus [scikit-learn, pandas]

Responsibilities
- Work closely with product teams and clients to identify and scope research topics.
- Design studies that address both user behaviors and attitudes
- Apply your expertise in survey design, quantitative analysis, and data mining to derive insights to show value or uncover missed opportunities
- Oversee data-focused initiatives already in place and being developed, and drive developments in the quality of these initiatives
- Integrate these insights effectively back into the application for both internal and external audiences

Technology Stack for the Application

Data Storage + Analytics: AWS/ Cloudera (on-Premise) Hadoop Ecosystem with MongoDB & Elastic Search on S3 or on Premise
Queueing System: RabbitMQ
Programming: Python
Front-End: HTML5 for WebApp and Objective C for ios. Potentially hybrid framework for iOS and Android
CDN: AWS or On Premise Routing

Personality Traits
- Obsession with data and its accuracy.
- Innate curiosity to find commercial insights from large sets of noisy data.
- Ability to work independently under tight deadlines with accountability.
- Strong results driven personality with a high level of enthusiasm, energy and confidence.
- Strong problem-solving skills.

Required Skills

- Degree in Computer Engineering, Economics, Statistics, Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or similar quantitative field is a pre-requisite.
- Experience in applied statistics including sampling approaches, experiments, modeling, and data mining techniques
- Experience building analytical models and working with structured and unstructured data sets
- Must have built applications End-to-End in C#, C++ or Python [Java experience is not relevant]
- Practical ETL experience with Python, R, Alteryx or alternatives.
- Expertise with Big Data technologies like Elastic Search, Hadoop, HDF5, Kafka, Hive/Hbase.
- Visualization Capability in D3.js or ggplot2
- NoSQL technology (MongoDB, Cassandra, CouchBase) experience is a bonus
- Any machine learning expertise is a bonus [scikit-learn, pandas]

Responsibilities
- Work closely with product teams and clients to identify and scope research topics.
- Design studies that address both user behaviors and attitudes
- Apply your expertise in survey design, quantitative analysis, and data mining to derive insights to show value or uncover missed opportunities
- Oversee data-focused initiatives already in place and being developed, and drive developments in the quality of these initiatives
- Integrate these insights effectively back into the application for both internal and external audiences

Technology Stack for the Application

Data Storage + Analytics: AWS/ Cloudera (on-Premise) Hadoop Ecosystem with MongoDB & Elastic Search on S3 or on Premise
Queueing System: RabbitMQ
Programming: Python
Front-End: HTML5 for WebApp and Objective C for ios. Potentially hybrid framework for iOS and Android
CDN: AWS or On Premise Routing

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