Data Science Sme/architect

**Job Requirements**:

- 7 to 9 years of experience manipulating data sets and building statistical and machine learning models.
- Master’s or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field
- Fluent English (written/spoken)
- Experience Developing Machine Learning / Data Science models, from coding to deployment
- 2+ years of experience in teaching or training.
- 3+ Years of Hands-on Hybrid Development experience preferred.
- Valid Passport

**Skills**
- Able to train/mentor/coach in coding (mandatory python and SQL, java or C++)
- Project Management background preferred.
- Knowledge of the Consulting/Sales structure.
- Empathy and service attitude
- Fast-paced
- Project Management experience
- Desirable previous international experience (US, Canada, or Europe)
- Leading consultants to grow and create tangible benefits and assets.

**Competencies**
- Mentor / Develop / Train consultants
- Orientation to results
- Leadership

**Main responsibilities of the position**
- Collecting data through means such as analysing business results or by setting up and managing new studies
- Transferring 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
- 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

**Desired Skills (Including but Not Limited to)**:

- 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 Platform
- 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 desirable

**We offer: (Additional features and benefits)**
- Onsite working Model
- Full Time, W-2 Employment
- Permanent contract plus benefits
- Relocation support
- Paid Time Off (PTO)
- Holidays
- **Salary**: ₹2,500,000.00 - ₹3,500,000.00 per year

Schedule:

- Night shift

**Experience**:

- total work: 7 years (preferred)

**Speak with the employer**
+91 9892042063