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Full Stack Developer

MATA Business Services Toronto

11 days ago

Job Description

Come and join a great team of developers, engineers, and data scientists). You’ll be a part of a fast-growing team helping businesses unlock the power of data, help and influence our customers, and accelerate the development of data-driven solutions. We’ve built a great team of fun, respectful, talented folks who do great work. Responsibilities: ● Lead the discovery process to identify business requirements and expected outcomes. ● Subject matter expert in structured, semi-structured, and unstructured data, ability to work with leadership to identify opportunities that leverage our data. ● Make strategic recommendations on data collection, integration, and retention. ● Design experiments, test hypotheses, and build models. ● Develop innovative and effective approaches to solving analytic problems. ● Communicate results and methodologies used to the leadership team in easy-to-understand terms. ● Apply advanced statistical and predictive modeling techniques to build, maintain and improve developed systems. ● Identify and create the appropriate algorithms to discover patterns and support predictive analysis. ● Ensure expected outcomes are understood and analysis strengthens use cases. ● Work closely with data engineers and developers to enhance data quality. ● Provide ongoing tracking and monitoring of the performance of decision systems and statistical models, recommending improvements to methods and algorithms.

Requirements

● Bachelor's degree in Software Engineering, or related fields; Master's degree is preferred. ● More than three years of relevant quantitative and qualitative research and analytics experience. ● Solid knowledge of statistical techniques. ● Ability to create solutions loosely defined by business problems by leveraging pattern detection over large datasets. ● Strong SQL and Python Scripting skills, NLP, and Image Processing. ● Experience using machine learning algorithms. ● High proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms. ● Strong communication and interpersonal skills.

Employment Type

  • Full Time

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