Systems Analyst in Temple Terrace, FL at APEX Systems

Date Posted: 11/7/2019

Job Snapshot

Job Description

Job #:  1024962
Interested? Please send an updated resume to Nikki Chambers at
Job Title: Data Scientist
Location: Temple Terrace, FL
Contract: 12+ Months
Develop, install, maintain, and modify advanced scientific and/or engineering application programs, business application programs, or integrated programs. Identify and analyze user requirements and recommend appropriate applications or modifications. 5 to 7 years of experience.
The Data Scientist will perform various analysis to identify insights that drive actions within digital, assisted and across channels, increase customer digital conversion and revenue while also driving digital self-service, reducing overall business expense. This position is responsible for:
  • Analyzing large quantities of transactional data
  • Providing actionable insights and recommendations to the core business teams
  • Implementing high quality Machine Learning and AI algorithms in off-line and on-line environments
  • Providing adhoc need based analysis on customer data

  • Use data to identify opportunities/actions to drive new acquisition sales and optimize conversion and revenue/profitability within the Digital platforms (desktop website, mobile website, mobile apps, chat, social, web bots, etc.).
  • Develop advanced analytical models and computational solutions using large-scale data manipulation and transformation, statistical analysis, machine learning, visualization, mathematical optimization and related advanced analytical techniques.
  • Analyzing customer paths from Digital channels to call centers to help improve the online customer experience and reduce call volume and average handling time.
  • Become the Subject Matter Expert on performance of sales, service and support interactions / customer journeys across desktop/mobile site experiences, mobile app, social, web bots, and chat.
  • Completing the full analytics journey from stitching data together, analyzing data, creating powerful visualizations, and automating/implementing solutions that solve business problems.
  • Perform analyses that yield insights and drive actions on opportunities which improve business KPI performance.
  • Discover new opportunities to optimize the customer experience through analytics and statistical modeling using business analytical tools.
  • Design, develop, and deploy executive-level visualization based on key insights and outputs from analyses.

  • Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised), Artificial Neural Networks (CUDA, Keras, Tensorflow) or Combinatorics (Mixed Integer Programming).
  • Advanced SQL skills with Teradata, SQL Server, Hive and Spark experience.
  • Experience with scripting languages such as Python/R or compiling languages such as C/C++ or Java.
  • Familiarity with Git (Bash or command line).
  • Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
  • Experience automating data within Tableau/Qlik/ggplot/Shiny to tell an analytical story through interactive visualizations.

  • Problem-solving skills.
  • A methodical and logical approach.
  • The ability to plan work and meet deadlines
  • Accuracy and attention to detail

  • Master’s degree in Computer Science, Artificial Intelligence, Business Analytics, Operations Research, Engineering or Statistics.

EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178-6178.