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Concrete Mixer Truck Driver - Goldsboro, NC

Flexion

Concrete Mixer Truck Driver - Goldsboro, NC

Minneapolis, MN
Paid
  • Responsibilities

    Flexion Inc. a Midwest based IT Consulting and Services firm is currently seeking a Senior Data Scientist experienced in Predictive Models, Machine Learning, Predictive Analytics working within Data Science to build Data Engineering pipelines for a long-term contract opportunity located in Minneapolis, MN

    Required Skills

    • Serve as an advocate of our data-driven culture, work closely with Product and Engineering, helping them use insights that will direct their efforts towards initiatives with the highest impact.
    • Develop advanced statistical models and data science methods to drive lean and efficient analysis practices
    • Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, and machine learning techniques and statistics
    • Analyze and explore data in our Hadoop ecosystem, work with the product manager to design in-product experiments, analyze the results, and provide strategic recommendations. Utilize recommender systems, collaborative filtering techniques, propensity modeling to drive our client's priorities
    • Synthesize analysis and results in compelling storylines and communicate to key stakeholders. You should have the ability to tell a story around the problem, the solution and the impact and value of implementing a solution
    • Partner closely with our Product Managers to identify gaps in product offering by conducting comprehensive data analysis, and accelerating the analytics maturity (predictive & prescriptive) in key product areas
    • Define data to be collected for measuring the success of new product features, define KPIs, and work with engineering on tracking and instrumentation of data.
    • Conquer query optimization problems on large data sets.
    • Design and build self-service dashboards using a mixture of analytical and visualization techniques to derive actionable insight from data to influences business and product decisions
    • Democratize data and insights as you strive to deliver self-service tools to your partners and enable them to make better decisions quicker

    Required Experience

    • Strong background in Data Science with at least six years of experience
    • Machine learning experience is key
    • Experience building predictive models
    • Experience working with Deep Learning tools
    • Experience creating algorithms for predictive models, SickIT, NLTK, Nimpy

     

     

    _Equal Employment Opportunity/Affirmative Action Employer  _

  • Qualifications
    • Serve as an advocate of our data-driven culture, work closely with Product and Engineering, helping them use insights that will direct their efforts towards initiatives with the highest impact.
    • Develop advanced statistical models and data science methods to drive lean and efficient analysis practices
    • Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, and machine learning techniques and statistics
    • Analyze and explore data in our Hadoop ecosystem, work with the product manager to design in-product experiments, analyze the results, and provide strategic recommendations. Utilize recommender systems, collaborative filtering techniques, propensity modeling to drive our client's priorities
    • Synthesize analysis and results in compelling storylines and communicate to key stakeholders. You should have the ability to tell a story around the problem, the solution and the impact and value of implementing a solution
    • Partner closely with our Product Managers to identify gaps in product offering by conducting comprehensive data analysis, and accelerating the analytics maturity (predictive & prescriptive) in key product areas
    • Define data to be collected for measuring the success of new product features, define KPIs, and work with engineering on tracking and instrumentation of data.
    • Conquer query optimization problems on large data sets.
    • Design and build self-service dashboards using a mixture of analytical and visualization techniques to derive actionable insight from data to influences business and product decisions
    • Democratize data and insights as you strive to deliver self-service tools to your partners and enable them to make better decisions quicker