Digital Data Scientist Oil And Gas Production

Duties & 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 improve product development marketing techniques and business strategies.

Assess the effectiveness and accuracy of new data sources and data gathering techniques. Drive establishment of high-integrity data sources and processes.

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 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.

Support digital transformation efforts and link data sources to useful dashboard monitoring systems and KPI tracking.
 
Minimum Requirements:

Bachelor's degree in Statistics Mathematics Computer Science or another quantitative field from a recognized and approved institution. An advanced degree is preferred.

7+ years of experience in manipulating data sets and building statistical models.

Strong problem-solving skills with an emphasis on product development.

Strong experience using statistical computer languages (i.e., R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

Strong experience working with and creating data architectures.

Good knowledge of a variety of machine learning techniques (i.e., clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (i.e. regression properties of distributions statistical tests and proper usage etc.) and experience with applications.

You will have excellent written and verbal communication skills for coordinating across teams. Able to explain the "so what" of data findings in a clear manner.

Coding knowledge and experience with several language C C++ Java script

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 Pytho 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 mneural networks etc.

Experience analyzing data from third 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 ggplo etc.