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    Medical Records Consultant - Toronto, ON, Canada - Tiger Analytics Inc.

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    Description
    We are an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are looking for someone with a good blend of business consulting skills and a data analytics background.
    Design and develop state-of-the-art data science and analytics solutions:
    Discuss key business objectives with the stakeholders and suggest data exploration strategies
    Work with business executives to understand business constraints that may impact data science or machine learning models
    Build Analytics frameworks to understand and predict customer behavior, sales forecasting, inventory, labor planning, pricing, etc.
    Plan Data Collection Methods (E.g. Market Research, Internal Data, 3rd Party Data Vendors) & determine sample sizes.
    Suggest new data sources and advise team on how to simulate market scenarios to enhance data assets.
    Perform exploratory analysis and preliminary modeling to build hypotheses and document the solution approach
    Explore various Data Science, Machine Learning, Artificial Intelligence techniques to find the best fit for the solution

    Build end-to-end Analytics frameworks and models to understand and predict customer behavior, sales forecasting, inventory, labor planning, pricing, etc.

    An example problem in the area of Marketing, would be to identify the optimal targeting mechanism for business prospects such that we know which prospects could be targeted through email, which ones through social media and which ones through Display or Paid Search, to customize the message and offer, thereby saving costs and increase conversion for the client.

    Work on implementing data science and analytics solutions:
    Validate results of the model by benchmarking against historical data collected by the business users
    Propose repeatable testing strategies for measuring and fine-tuning results produced by analytics models
    Consult the client on adoption of big data frameworks and educate business stakeholder on traditional data systems vs big data systems by preparing a cost-benefit analysis
    Extract, transform and organize the data into datasets using tools like SQL. Write complex SQL queries to retrieve data with low latency.
    Contribute to Org building activities as described below:
    Support business development team in winning new data analytics projects by providing proof-of-concept solutions
    Recruiting interviews to hire new employees to build world-class analytics talent
    Make prototypes and templates for frequently used modeling scenarios in open-source tools, such as R and Python
    Write data science project proposals and make case study presentations to showcase company capabilities
    Bachelor's in Mathematics, Statistics, Engineering, Business Administration, Data Science, or other closely related fields. Previous background in a quantitative field (engineering, statistics, mathematics, economics, etc.) SQL, R & Python


    Language:
    English

    Full Time

    Annual Compensation:
    CAD 130K-190K
    Dental, Health and Vision care
    Disability benefits
    Pension plan
    #


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