Data Scientist

Data Scientist

Job Title: Data Scientist
Contract Type: Permanent
Location: Oklahoma, USA
Salary: US$100000.00 - US$120000.00 per annum
Reference: HQ00064608_1525964338
Contact Name: Sam Evans
Contact Email:
Job Published: May 10, 2018 15:58

Job Description


Senior Data Scientist -Analytics
Tulsa, OK

I am currently recruiting for a leading provider of web-based monitoring and field automation services to the oil and gas industry. My client are looking for a sharp, disciplined, and highly quantitative individual who has a strong background for creating efficient algorithms in the areas of data optimization, anomaly detection, and predictive modeling. They are building a unique technology platform dedicated to the real-time discovery and manipulation of data; this is your chance to be a critical part of their analytics team where you will be reporting directly to the Chief Analytics Officer and Director of Data Science.
Success is measured in customer satisfaction, monetizing their services, customer retention, product usage and adoption.

*Ownership of several major work streams and the teams therein
*Collaborate with a team of passionate data engineers, developers, and domain experts from different functional areas to solve complex problems
*Help the organization shape new product directions as well as implement product vision within the context of the next generation of product architecture
*Develop statistical and machine learning algorithms, probabilistic models, and visualizations for client pilots and scaled solutions
*Establish and implement end-to-end proof of concept for data analyses
*Create innovative frameworks and solutions for extracting value from client data
*Establish strategic partnerships with technical leadership across functional areas
*Present to senior leadership, external audiences, and customers
Requirements for the Position:
*Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others
*Ability to effectively communicate technical concepts to both technical and non-technical staff members
*Proficiency in data analysis languages including Python (and analysis packages including but not limited to pandas, NumPy, scikit-learn) and SQL
*4-8 years hands-on experience in machine learning, statistics or experiment design
*Master's Degree required and PhD strongly preferred in Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Physics or a related field with focus on data analysis
*Expertise in machine learning, statistics, data analysis. Must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of problems
*Solid grasp of probability, statistical or mathematical modeling with analytical and quantitative problem-solving ability. Experience with time-series analysis strongly preferred
*Demonstrated experience in applying machine learning to real-world problems
*Familiarity with software development cycles, source control systems (including Git), databases, web servers, Microsoft and Linux platforms
*Experience with Jupyter notebooks
*Familiarity with big data and distributed computing technologies such as Apache Hadoop, Apache Spark, Hive, and Pig
*Knowledge of petroleum and process verticals, production automation, field automation and/or telemetry along with business, finance, economics would be a plus

*Candidates must be able to successfully pass a pre-employment background check and drug screen
*Candidates must be able to work for any US employer

Lawrence Harvey is acting as an employment agency in regards to this position.
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