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    Data Science Manager - Columbia, United States - Blend360

    Blend360
    Blend360 Columbia, United States

    4 weeks ago

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    Description
    Job Description

    People are everything here at BLEND360.

    We are inspired by advancing our Client's most critical initiatives, products and projects by matching our clients with the right talent.

    BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we're very proud of our World Class NPS score.

    Our success is a direct result of our passion for advancing the careers of the talented people we work with every day.


    When you work at BLEND360, you will:
    Collaborate with a smart, passionate group of people who are invested in your success.


    You will work as part of our global Data Science team to provide data driven solutions for our customers using state-of-the-art methods and tools.


    Partner with an impressive list of clients, who value Blend360's services and the world class experience we deliver with every engagement.

    Thrive with a company and leadership team who are committed to growth.


    We spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients' business problems.

    We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms.

    We validate and cross validate our recommendations to make sure our recommendations will perform well over time.

    Main Responsibilities

    The role will also include significant consulting / client facing work comprised of:

    Working with practice leaders and clients to understand clients' business problem, industry context, data sources, potential risk and constraints.

    Problem solve with practice leaders to translate the business program into a solvable Data Science problem, formulate different approaches, outline pros and cons for each approach

    Work with practice leaders to get client feedback, get alignment on approaches, deliverables, and overall timeline

    Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform

    Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings

    Create insightful and/or predictive summary variables from granular-level data

    Develop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and tools

    Document predictive models / machine learning results that can be incorporated into client-deliverable documentation

    Document key insights, recommend actions client could take, and quantify business impact

    Assist client to turn models and algorithms into implementable production codes


    Qualifications:
    Qualifications

    Master's degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering

    3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization

    Experience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)

    Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)

    Comfortable with cloud-based platforms (AWS, Azure, Google)

    Experience with Google Analytics, Adobe Analytics, Optimizely a plus

    Experience in digital marketing a plus

    Experience Leading a Team/Projects

    Strong communication skills

    Additional Information

    This is a full time position with our core data science team, we do offer Visa Sponsorship

    Qualifications


    • Master's degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering
    • 3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization
    • Experience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)
    • Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)
    • Comfortable with cloud-based platforms (AWS, Azure, Google)
    • Experience with Google Analytics, Adobe Analytics, Optimizely a plus
    • Experience in digital marketing a plus
    • Experience Leading a Team/Projects
    • Strong communication skills
    Additional Information

    This is a full time position with our core data science team, we do offer Visa Sponsorship

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