Lead Data Scientist Consultant
3 days ago
We are a technology consulting firm dedicated to building successful IT careers for our employees. Our expertise spans project support across various technologies, including Android and iPhone mobile development, AWS, Big Data, Data Science, Exchange, Cyber Security, and Azure.
Our company has approximately 500 clients globally and has built careers for thousands of employees over the past two decades. We're looking for a consultant who thinks big and can thrive in our high-energy culture.
Role Overview:
The ideal candidate should be a hands-on working data scientist with leadership experience. They should have a solid background in training and mentoring junior data scientists and machine learning engineers. The candidate should also be able to lead a data analytics project from definition to deployment.
Main Responsibilities:
- 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 team members on how to properly organize findings and read collected data.
- 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:
- Collecting data through means such as analyzing business results or setting up new studies.
- Transferring data into a new format to make it more suitable for analysis.
- Built 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 team members on how to properly organize findings and read collected data.
- 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:
- A minimum of 7 to 15 years of experience manipulating data sets and building statistical and machine learning models.
- A 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 Platform.
- Proficiency in 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 are 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.
Salary Estimate:
$140,000 - $160,000 per annum, based on location and experience.
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