Job description

Data Science SME

Location Lower Parel, Mumbai (Onsite)

Job Requirements:

• 6 to 7 years of experience manipulating data sets and building statistical and machine learning models.

• Masters 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.

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 analyzing business results or by setting up and managing new studies

• Transferring data into a new format to make it more appropriate for analysis

• Build tools to automate data collection

• Compare and analyze 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 analyzing and interpreting data

• Train assistants and other members of the team how to properly organize findings and read data collected

• Design computer code using various languages to improve and update software and applications

• 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

• Design computer code using various languages to improve and update software and applications

• 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, Generative AI and Computer Vision

• Python and SQL coding skills are indispensable

• Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform

• Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc.

• Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus

• Experience using statistical computer languages, including Python & SQL, R is a 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

Data Science Specialist