Job description
Job Description
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing company data. The ideal candidate should be adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. He/She must possess strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/She must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities
At least 5 years of experience leading teams or large projects with research experience in AI, Machine learning, Deep learning, Analytics, Optimisation, IoT, and Automation
Solid experience in building products/product lines
A strong background in Mathematics and building AI algorithms
Extensive experience in processing large scale and complex data specifically for ML/DS/AI projects
Statistical Modelling of Data
Understanding of ML life cycle, including,training, testing, validating ,deploying and updating of models periodically
Analyse and improve algorithms to meet the demand of customers and sustain the market edge in AI/ML
Support Internal and External Clients with the understanding of Data Science design and methodology
Translate business requirements into technical requirements
Work with the C-Suite to define clear priorities and communicate it to the functional teams for design, development and production roll out
Work with stakeholders to identify opportunities for leveraging the company’s AI to drive business solutions
Building tools to help businesses derive the maximum insights from data
Successfully identify and develop emergent technologies to lead the path for future programs in AI and R&D to align required capabilities for multiple projects and business requirements
Developing and mentoring teams of R&D scientists and software engineers towards our common goal of creating better experience
Solid written and verbal communication skills to document and explain complex systems
Demonstrated deep domain knowledge in research and development of advanced AI/ML applications
Experience with Supervised, unsupervised machine learning, regression,classification, time series analysis
Understanding creation of business values from data
Model deployment and serving using Flask,Django, web services
Good to have Skillset
Experience with Pandas, Scikit-Learn, boosted trees, Pytorch, Tensorflow
Dockers knowledge
AWS* Micro services development
Java/C#
RnD and publications
Knowledge of Python, C/C++, Linux, Windows, CMake, QT creator, VS-Studio, Pycharm, Spyder
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.