A hands-on data scientist who is passionate about data and want to apply machine learning techniques to solve real world problems which will make a lasting impact on society. You will work closely with the wider team to ensure high-quality algorithm is delivered in line with the project goals and delivery cycles. You will work on all aspects of the design development and delivery of machine learning enables solution including data acquisition from diverse sources, data exploration, feature engineering, evaluating algorithms and deploying the models iteratively to improve the final solution.
Job Specific Responsibilities
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Proactively advice on best practices.
Assist in budgeting process.
Education, Experience and Required Skills
Ph.D. or MS degree with industry experience as a Data Scientist
Minimum Ph.D. 2 or MS 4 years
Knowledge of Machine Learning (ML) algorithms and data mining techniques in one or more areas of predictive modelling, text mining, information retrieval and time series analysis.
Experience in developing pipelines for both structured and unstructured data.
Collaborate with a cross-functional team including data scientists and software engineers.
Knowledge of concepts within NLP, NLG, Chatbots and Knowledge Graphs.
Experience with Machine Learning frameworks e.g., Scikit-Learn, H2O.
Practice with Deep Learning libraries e.g., Theano, Tensorflow.
Programming skills in at least one of Python, Java, Scala.
Practice of writing papers and patents are appreciated
Exposure to Image processing and Speech Recognition are good to have.
Experience working with Educational, Finance or Health data sets.
Excellent communication skills.