• Vice President, Data Science

    Job Locations US-MO-Kansas City
    Posted Date 2 months ago(2/4/2019 2:00 PM)
    Job ID
    # of Openings
    Information Technology
  • Overview

    SMG is looking for a Vice President, Data Science!


    SMG (Service Management Group) partners with more than 500 brands around the globe to create better customer and employee experiences, which drive loyalty and performance. SMG uniquely combines technology and insights to help clients listen better, act faster, and outperform the competition. Strategic solutions include omniCXTM, Brand Research, and Employee Engagement. SMG evaluates 250 million surveys annually, across 130 countries. 


    • Author of the company’s data science innovation strategy, innovation path, and promoter of key market-place capability differentiators
    • Serves as development lead and recognized technical authority on major company initiatives associated with data science including the development of any and all machine learning and artificial intelligence projects.
    • Designs and develops data sources/algorithms/visualizations for the use in the company’s lab, internal and external products and systems. The development is intended to improve existing business performance and enable future competitive advantage.
    • Conducts systems/process analysis to understand opportunities and diagnose issues having significant potential impact on business performance
    • Discovers relevant data sources (internal and external), develops new tools and products for data mining/data analysis using a variety of tools, models. Algorithms to enrich current products and solve difficult business problems
    • Recruit and grow data science and engineering talent by serving as a mentor who strengthens the team’s core technology capabilities and enforces data science best practices across the organization.
    • Collaborates with product managers, business stakeholders, infrastructure stakeholders, engineers, and IT managers to create strategic, innovative software solutions
    • Assists software architect in identifying emerging trends, driving use cases and identify scalable solutions associated with data science and promising new technologies
    • Represent the company as the scientific expert for patent applications, data privacy and marketing thought-leadership campaigns
    • Understands client decision-making and able to present information in a way that drives clarity in senior leader action

    *This position reports to the Chief Product and Technology Officer. 


    Major accountabilities and end-results of the position:

    • Collaborate with Chief Technology/Product, Chief Client Officer and key customers to establish the strategic technical direction and innovations to deliver compelling insight tools and services
    • Hands-on innovation lead responsible for machine learning and AI prototypes, which optimize client operational performance and create new business value.
    • Delivery of mature, select software services and tools as enterprise-level capabilities that reveal actionable business insights and enable profit
    • Shares deep expertise and mentors future leaders in design, development and fielding of highly valuable new systems and internal tools.
    • Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions.
    • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
    • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
    • Develop company A/B testing framework and test model quality
    • Develop processes and tools to collect and analyze data-accuracy, prediction-model and workflow performance data in the business context.
    • Audit and review current research methods employed by the company. Seek to identify and implement improvements to the insights service offered to clients.
    • Provides risk-reduction guidance and feedback ensuring emerging platform capabilities meet current and future company research needs.
    • Oversight of the company’s patent portfolio and data privacy advocate



    • PHD in data science or related field
    • Additional degrees in data science or related field (Computer Science, Engineering, Information Technology, statistics or the equivalent through a combination of education and related work experience)
    • Subject matter expertise prototyping applications in modern computer languages and database technologies like: R, Python, SQL, Tableau, Spotfire, etc.
    • Expertise in a variety of machine learning techniques (unsupervised clustering, deep learning, natural language processing, etc.) and their real-world advantages/drawbacks
    • Demonstrated decision-making and problem solving skills in the context of tough engineering problems where risks are high or time is short
    • Technical judgment to identify strategic trends and deliver solutions through analysis, experiment design, and a methodical test and learn refinement approach
    • Experience with a diverse set of platforms and software technologies, as well as, experience with structured methods and the software development life cycle
    • Proven ability to develop innovative and creative system solutions. Possess a drive to learn and master new technologies and techniques
    • Mentor and coach within the organization
    • Ability to work with limited direct supervision, translating initially ambiguous objectives into structured roadmaps and innovation plans
    • Effective oral, written and interpersonal communication skills
    • Demonstrated success in leading a diverse cross-functional team, managing multiple deadlines


    • Experience building application programming interface (API’s) platforms for business to business integration
    • Project management skills including ability to manage and prioritize multiple and conflicting priorities
    • Effective presentation skills
    • Experience designing and building BI solutions using data warehouses
    • Experience with distributed computing, such as Hadoop MapReduce, Spark and big-data data technologies such as Hive, MongoDB, Elastic Search, Redshift, Mahout
    • Experience with master data management and data quality services or equivalent
    • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
    • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, Spotfire, etc.
    • Ability to expertly negotiate complex and sensitive data-management issues, formulate policies, and to present and defend polices, programs, and activities
    • 7+ years of experience developing accurate ML/AI software applications for integration into high-availability business platforms


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