Data Science SME

3 weeks ago

Mumbai, Maharashtra, India Tech Consulting Full time
We are a Technology Consulting firm that focuses on building successful IT careers for our employees We currently augment our clients with project support offerings across several Technologies, Android and iPhone Mobile Development, AWS, Big Data, Data Science, Exchange, Cyber Security, and Azure. We are a growing company with approximately 500 clients globally and have built careers for thousands of employees over the past two decades. Take the next step and talk to us

Our fast-paced office environment is full of creative thinkers and doers who collaborate to get ideas off the ground. We're looking for a consultant who thinks big and can feel at home within our high-energy culture.

Location: Mumbai, India ( On Si)
Timings:

US business hours Monday to Friday (8 M to 5 PM EST)

Objective of the Role:

The ideal candidate should be a hands-on, working Data Scientist with leadership experience. Should have a solid background and be proficient in training and mentoring junior Data Scientists and Machine Learning engineers. Candidate should also be able to lead a data analytics project from definition of the problem statement to deployment of the production solution.

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
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

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
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
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

Requirements:

The ideal candidate should have 7 to 15 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.
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 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 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

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