Data Scientist
- 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.
- 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,
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- JavaScript, etc.
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- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
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- Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
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- Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
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- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
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- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
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- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
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- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Romph & Pou Agency
We are an established integrated marketing agency with offices in Shreveport, Louisiana; Tyler, Texas; and Baton Rouge, Louisiana. We offer a comprehensive range of services with a high level of specialization in gaming and retail marketing. Co-owned by Jeffrey Romph and Robert Pou, R&P has grown through a commitment to providing excellent work and a reputation for going above and beyond for our clients.
At Romph & Pou, we see ourselves as your marketing partner. This approach allows us to understand your business and develop the most effective brand communications within an increasingly competitive marketplace.
After more than 30 years in the industry, we have established a full-service marketing agency that prides itself on outstanding client service. Our mission going forward is to consistently achieve desirable marketing results for our clients while aggressively pursuing new methods of marketing in the process.
We always accept resumes, even if no open jobs exist at the time. If you have a resume you would like to send to Human Resources, please reach out to Amy Davis adavis@rpagency.com
Company Website: RPagency.com
(if you already have a resume on Indeed)