Data Scientist - Machine Learning - eCommerce/Analytics Firm - IIT/NIT/BITS

Please make sure candidate should qualify checklist written below :

Does the candidate has working knowledge of atleast two coding languages Python, Java, Scala, R Language, SQL, ETL Tools, Perl and Pig?

Does the candidate has excellent knowledge in Business Intelligence; data modeling, ETL, and reporting tools?

Is the candidate a Btech/Mtech/MS from a premier college?

Is the candidate presently working in a Product company/E-commerce or Analytics firm?

Position: ML & Data Scientist

Job Description : 

Working closely with the technology and learning teams, the Data Scientist will be responsible for the following:

- Creating infrastructure for the delivery team; Maintain a working knowledge of data mining and visualization best practices; Work in coordination with the team for better and quick results

- Being able to develop or program databases; Having the ability to query databases and perform statistical analysis; Analyze the data available and provide the relevant output

- Collaborate with engineering colleagues to define the data modeling goals for designated project areas

- Having a good understanding of design and architecture principles; Understand the importance of the system development and help in getting it implemented

- Have good time management skills and should be able to meet the expected deliverables

- Being able to create examples, prototypes, demonstrations to help management better understand the work;

- Capacity to motivate and train junior scientists and offer counsel to peers. Being able to work autonomously

Basic Qualifications :

Passion, commitment, resourcefulness, and a drive to continue learning are essential prerequisites. For this role, we are also looking for someone who meets the following criteria:

- PhD/ Master's Degree in Statistics, Mathematics, Computer Science, or equivalent

- 5+ years of data science / mining experience

- Excellent knowledge of at least two coding languages, e.g. Python, Java, Scala, R Language, SQL, ETL Tools, Perl and Pig.

- Should have worked on different tools like Java, SQL, Python, etc.; Good experience with SQL, Linux shell scripts, Perl, and AWK

- Domain knowledge in at least two industries; Minimum five years of experience in customer-facing activities;

- Overall knowledge of Business Intelligence; in particular, data modeling, ETL, and reporting tools;

- Extensive hands on experience working with very large data sets, including statistical analyses, data visualization, data mining, and data cleansing/transformation;

- Under-the-hood knowledge of many of these machine learning concepts: supervised/unsupervised learning, loss functions, regularization, feature selection, regression/classification, cross-validation, bagging, kernel methods, sampling, probability distributions;

- Experience prototyping and developing data mining solutions using statistical software packages (R, H2O);

- Excellent verbal and written communication; Good analytical and interpersonal skills;

- Strong ability to communicate deep analytical results in forms that resonate with scientific and/or business collaborators, highlighting actionable insights;

- Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company.