Data Science

**Responsibilities to Train Consultants and Mentor on the Following**:

- Collecting data through means such as analyzing business results or by setting up and managing new studies
- Transfering data into a new format to make it more appropriate for analysis
- Built tools to automate data collection
- Compare and analyse provided statistical information to identify patterns, relationships and problems
- Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
- Prepare detailed reports for management and other departments by analysing and interpreting data
- Train assistants and other members of the team how to properly organize findings and read data collected
- Refer to previous instances and findings to determine the ideal method for gathering data
- **Requirements**:

- Master’s or Ph.D. in Statistics, Mathematics, Computer Science or another quantitative field.
- Experience Developing Machine Learning/Data Science models, from coding to deployment
- Knowledge in Deep Learning/Neural Networks techniques, specifically NLP - Natural Language Processing and Computer Vision
- Python and SQL coding skills are indispensable
- Cloud experience in one of **AWS-Amazon Web Service**, Azure, Google Cloud Plattform
- Proficiency on Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc.
- Preferred
- Experience using statistical computer languages, including Python & SQL. R is s plus to manipulate data and draw insights from large data sets
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Ability to compile and organize statistical information retrieved and present findings to management
- Faculty to work toward multiple deadlines simultaneously
- Strong problem solving skills with an emphasis on product development.
- Certification in a Cloud-Based/Machine Learning service desireable
- **Other Main Targets**:

- Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
- Prepare detailed reports for management and other departments by analyzing and interpreting data
- Train assistants and other members of the team how to properly organize findings and read data collected
- Refer to previous instances and findings to determine the ideal method for gathering data

**Salary**: ₹3,000,000.00 - ₹4,500,000.00 per year

**Benefits**:

- Provident Fund

Schedule:

- Night shift

Supplemental pay types:

- Performance bonus

Application Question(s):

- Do you have hands-on experience in Python and SQL coding skills
- Knowledge in Deep Learning/Neural Networks techniques, specifically NLP - Natural Language Processing and Computer Vision is a must
- Cloud experience in one of AWS-Amazon Web Service, Azure, Google Cloud Platform (any one will do)
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

**Experience**:

- total work: 10 years (required)

Ability to Commute:

- Mumbai, Maharashtra (required)

Ability to Relocate:

- Mumbai, Maharashtra: Relocate before starting work (required)

**Speak with the employer**
+91 7095248531