Data Scientist
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Responsibilities
- Understanding complex business challenges, designing scientific solutions, manipulating large data sets, using cutting edge machine learning or statistical modeling techniques and synthesizing insights
- Architecting and Building scalable solutions that create great and immediate business impact
- Help build complex and interesting software applications for the Online Marketing and Digital Advertising space such as Real-Time Biddable Media platforms, Multi-Variate and A/B website testing tools and Analytics Attribution software.
- Extract, manipulate, and merge large databases to create analytical datasets.
- Implement comprehensive quality checking and validation process.
- Working with Engineering team to drive the implementation of new models, automating scripts to process data in near real-time, and output results in readable format for use by various software applications.
- Maintain and Troubleshoot software and data.
- Strong and effective communication (both written and verbal) with colleagues and business leaders
- Continuously advancing your skills and those of others In addition, the ideal candidate needs to be familiar with the following techniques and tools, with an expert-level experience in some.
Skills/Attributes Required
- Master’s degree in Statistics, Mathematics or related field
- 2+ years of relevant experience working with data in the private sector
- 2+ years of real world experience programming in R
- Excellent SQL knowledge
- Experience with a programming language such as C++, Java, Python or C# is huge plus
- A strong ability in statistical modeling and analysis to provide rigorous solutions that address the business needs
- Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forest)
- Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees )
- Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modelling)
- Time-series Modelling/Forecasting (e.g., AR, ARMA, GARCH, Exponential Smoothing)
- Statistical Analysis (e.g., Hypothesis Testing, Experiment Design, Hierarchical Modeling, Bayesian Inference)
- Strong problem solving skills, and an ability to apply them in the context of a fast-paced business environment
- Good written and oral communication skills to translate complex models and analysis results into layman terms
- Capable and motivated to collaboratively work with a diverse and innovative team of engineers, analysts, operations personnel and business management to deliver results.
- Knowledge about Big Data related techniques (e.g., Map-Reduce, Hadoop, Hive, NoSQL)
Why Centerfield?
- Competitive salary, and profit sharing bonus
- 401K match
- Take a break when you need it – unlimited PTO
- Award winning culture & unprecedented team spirit
- Fully stocked break rooms with drinks, snacks
- Toro the Bull Dog Mascot and Everyone’s Friend
- Paid volunteer days
- Monthly team games/competitions/catered lunches
- Team outings (Ball games, BBQ’s, Parties, etc.)
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