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Senior Data Scientist

Next Level Business Services, Inc.

Dallas, TX

r machine-learning sql

Mar 13

Job Description

Position Title: Senior Data Scientist


Location : Dallas,TX


Full Time Position

Essential job functions:  
  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions
  • Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Strong Graph Theory including Graph Algorithms
  • Working Knowledge Azure HD Insight
  • Development, research, and exploration in the areas of statistics, machine learning, experimental design, optimization, simulation, and operational research
  • Interprets problems and develops solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics
  • Leverage big data to solve strategic, tactical, structure and unstructured business problems
  • Collaborate with client and Enterprise Data Products team to set analytic objectives, approaches and work schedule
  • Research and evaluate new analytical methodologies, approaches and solutions
  • Analyze customer and economic trends that impact business performance and recommend ways to improve outcomes
  • Developing advanced statistical models utilizing typical and atypical methodologies.
  • Developing and updating data models for statistical modeling purposes, tracking results against forecasts, and re-specifying when required.
  • Design and deploy data-science and technology based algorithmic solutions to address business needs for Mode Transportation. Identify, understand and evaluate new commerce analytic and data technologies to determine the effectiveness of the solution and its feasibility of integration with Mode Transportation s current platforms
  • Design large scale models using Logistic Regression, Linear Models Family (Poisson models, Survival models, Hierarchical Models, Naïve-Bayesian estimators), Conjoint Analysis, Spatial Models, Time-Series Models
  • Design large scale models using linear and mixed integer optimization; non-linear methods; and, heuristics
  • Design large scale discrete-event and Monte Carlo simulation models
  • Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers.
  • Develop, coach and mentor team members within the department they create
  • Displays strong teamwork and interpersonal skills with the ability to communicate to all levels of management.

Qualifications:

  • Must have at least 5+ years of actual working experience performing advanced quantitative analyses.
  • Must have the actual working knowledge of Matlab/Python/R/SQL/Tensorflow/Theano.
  • Experience and passion for simulations, optimization, neural networks, artificial intelligence (deep learning and machine learning)
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, GIT, SQL, etc.
  • Working knowledge of big data manipulation tools is required.
  • Working knowledge of IBM SPS Statistics & Modeler is plus.
  • Strong knowledge Long Short-Term Memory (LSTM) recurrent neural networks including architectures and the mathematical theory
  • Expert knowledge in Multilayer Perceptrons (MLPs) and Convolutional Neural Networks (CNNs)
  • Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, ARIMA, neural networks, and multinomial discrete choice. Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis.
  • Ability to apply advanced optimization methodologies such as linear and mixed integer optimization.
  • Ability to apply advanced simulation modeling methodologies and techniques.
  • Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.).
  • Must have relational database experience.
  • A strong passion for empirical research and for answering tough questions with data
  • Demonstrated experience in organizing, prioritizing, and coordinating complex team efforts
  • Experience in working with executives or strategic planning departments to set and/or manage to corporate level strategies a plus
  • Strong communication and organizational skills along with the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
  • Experience with business support software applications such as MS Office (Word, PowerPoint, Excel, Project) required
  • Familiar and comfortable with agile software development processes
  • Azure HD Insight certification is a plus
  • Previous experience in Transportation, Logistics and IT systems preferred


Education requirements:

  • M.S, or Ph.D. in math, statistics, operations research, computer science, engineering, econometrics, or other quantitative field.