MaxJobsClub US Contractor
Duration: 6 months with extension
Responsibilities:
* Work with stakeholders throughout the organization to identify
opportunities for leveraging company 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.
* 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:
* Strong problem solving skills with an emphasis on product
development.
* Experience using statistical computer languages (R, Python, SLQ,
etc.) to manipulate data and draw insights from large data sets.
* 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.
* Excellent written and verbal communication skills for coordinating
across teams.
* A drive to learn and master new technologies and techniques.
* We’re looking for someone with 5-7 years of experience manipulating
data sets and building statistical models, has a Master’s or PHD in
Statistics, Mathematics, Computer Science or another quantitative field, and
is familiar with the following software/tools:
* Coding knowledge and experience with several languages: C, C++,
Java,
* JavaScript, etc.
* Knowledge and experience in statistical and data mining techniques:
GLM/Regression, Random Forest, Boosting, Trees, text mining, social network
analysis, etc.
* Experience querying databases and using statistical computer
languages: R, Python, SLQ, etc.
* Experience using web services: Redshift, S3, Spark, DigitalOcean,
etc.
* Experience creating and using 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.