Data Scientist Senior – IM Enterprise Data Full Time NEW

JOB SUMMARY

The Data Scientist Senior is responsible for discovering information hidden in vast amounts of data through design, development and implementation of optimal Prescriptive, Predictive and Descriptive analytics solutions.

Individual must have extensive knowledge of Statistical Models, Data Mining, Machine Learning and proven experience in building custom algorithms to deliver insights. Individual must have proven programming competency in advanced Data Science toolkits such as Python, R, Google Cloud ML Vertex AI, Azure ML, AWS SageMaker.

Major Job Responsibilities

• Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders.

• Provides technical development expertise for designing, coding, testing, debugging, documenting, and supporting all types of applications consistent with the established specifications and business requirements in order to deliver business value.
• Contributes to the execution of CHRISTUS’ overall information systems strategy as it pertains to their vision of the organization in both strategic and tactical plans.
• Involved in team adoption, execution and integration of strategy to achieve optimal and efficient delivery.
• Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance.
• Integrates software components, subsystems, facilities and services into the existing technical systems environment; assesses impact on other systems, and works with cross functional teams within information management to ensure positive project impact.
• Installs, configures, and verifies the operation of software components.
• Must have the communication skills and ability to develop and present solutions to all levels of management (including executive levels).
• Must have demonstrated the ability to solve complex problems with minimal direction.
• Must be able to interact effectively and patiently with customers especially while under pressure.
• Must have the ability to work on multiple projects/tasks simultaneously to meet project deadlines for self and others as required.
• Must have the ability to establish and maintain positive working relationships with other Associates.

Job Standard Qualifications

• Education/Skills
• Master’s degree required
• Knowledge of NoSQL databases, such as HBase, Cassandra, MongoDB
• Advanced level of SQL programing and query performance tuning techniques for Data Integration and Consumption using design for optimum performance against large data asset within an OLTP, OLAP and Massive Parallel Processing architecture
• Experience
• 6+ years of experience in Machine Learning, Statistical Modeling, Data Mining techniques, Python, R required
• 10+ years of experience with design, architecture and development of Enterprise scale advanced analytics required
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks required
• Proficiency with Big Data querying tools, such as Hive, and Impala required
• Experience with Big Data Machine Learning toolkits, such as SparkML required
• Experience with Cloud Machine Learning platforms such as Google Cloud ML/Vertex AI, Azure ML, AWS SageMaker required
• Experience with Machine Learning Operations, develop processes and tools to monitor and analyze model performance and data accuracy required
• Experience with techniques for processing, cleansing, and verifying the integrity of data used for analysis required
• Licenses, Registrations, or Certifications
• Certifications in Cloud ML platforms or Advanced Analytics platforms (such as Data Robot, Alteryx) preferred

In accordance with the CHRISTUS Health License, Certification and Registration Verification Policy, all Associates are required to obtain the required certifications for their respective positions within the designated time frame.