Data Scientist

Location: Tulsa Region
Category: Information Technology
Employment Type: Direct Hire

Our client is looking for a Data scientist for their growing team headquartered in Tulsa, Oklahoma. The company is growing technically with strategic initiates which have led to the opening for a Data scientist. If you have a keen eye for trends, a background in mathematics and statistics then let's set up a time to talk about this company, what they are doing and how you'd fit in their team.

•Interact 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
• Able to 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.

• 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

• 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

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