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Data Scientist

Posted 2 months ago

Terrific 12+ month contract opportunity (with strong potential to convert to perm) in Irving, TX for a Data Scientist. Will work on critical dashboards and automation tools for pulling customer feedback from digital surveys, chat, and voice to be able to help digital teams address major pain points proactively to effectively and quickly address customers biggest pain points and help to reduce significant costs and call volumes in operations. 

Responsibilities include:
•    Analyze and understand data sources & APIs. 
•    Design and develop methods to connect & collect data from different data sources, as well as methods to filter/cleanse the data. 
•    Design and develop SQL, Hive queries, and APIs to extract data from the store. 
•    Work closely with other data scientists to ensure source data is aggregated and cleansed. 
•    Work with product managers to understand the business objectives. 
•    Work with cloud and data architects to define robust architecture in cloud setup pipelines and workflows. 
•    Work with DevOps to build automated data pipelines.
•    Mine and analyze data from company 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.
•    Develop company A/B testing framework and test model quality.
•    Coordinate with different functional teams to implement models and monitor outcomes.
•    Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications
•    5+ years of experience as a Data Scientist manipulating data sets and building statistical models
•    Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations
•    Experience working with and creating data architectures
•    Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
•    Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
•    Experience with pipelines, job scheduling and workflow management
•    Experience managing work with distributed teams
•    A drive to learn and master new technologies and techniques
•    Confident, takes ownership, willingness to get the job done
•    Excellent written and verbal communications and cross group collaboration skills
•    Strong problem-solving skills with an emphasis on product development

Technical Skillset:
•    R, Python, SLQ, etc. to manipulate data and draw insights from large data sets
•    Coding knowledge in C, C++, Java, JavaScript, etc.
•    Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
•    Redshift, S3, Spark, DigitalOcean, etc.
•    Advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
•    Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
•    Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
•    Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
•    HTTP and invoking web-APIs Exposure to machine learning engineering
•    Understanding of NLP and text processing
•    Experience with pipelines, job scheduling and workflow management
•    Experience managing work with distributed teams
•    Agile/SCRUM methodology experience
•    Confident, takes ownership, willingness to get the job done
•    Excellent written and verbal communications and cross group collaboration skills
•    Strong problem-solving skills with an emphasis on product development
 
If this is a perfect fit, Apply now!