Data Scientist Sme (Remote)

Data Scientist SME/Architect:

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.

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:

Ö Collecting data through means such as analyzing business results or by setting up and managing new studies

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

Ö Built tools to automate data collection

Ö Compare and analyze provided statistical information to identify patterns, relationships and problems

Ö Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering

Ö Prepare detailed reports for management and other departments by analyzing and interpreting data

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

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

Ö Refer to previous instances and findings to determine the ideal method for gathering data

Requirements

• The ideal candidate should have 6 to 7 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

· Proficiency on Machine Learning libraries and frameworks like TensorFlow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc.

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

· 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