Data Scientist Health CareAI BB1001

Job Description

Data Scientist (Health Care/AI) – BB1001

Duration: 6+ Months

Location: Remote (NJ)

Major Duties & Responsibilities

• Develop data science solutions: Business problem understanding, data processing, algorithms to discover trends & patterns, data visualization, generation of key insights and communication to senior stakeholders.
• Write production-level and scalable code in Python or R programming languages.
• Implement machine learning and statistical models for Predictive, Time series forecasting, Decision Support, Gen AI, NLP etc.
• Execute Data Science projects from an end-to-end perspective: From data acquisition, data pre-processing, modeling, visualization and full integration with end-user systems and processes.
• Develop data processing and modeling pipelines for large datasets from finance and ERP systems such as SAP HANA.
• Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/dashboarding tools for interactive presentations.
• Deploy analytical models into production. Take accountability for requirements, procedures and standards such as version control and documentation.
• Automation of data pipelines and orchestration of workflows.
• Leverage and advance robust data architecture and cloud-based technology stack to support production-level work.
• Partner with cross-functional teams: Technology, Finance Systems and Data, Group Finance and CFOs, Compliance, Data Engineering, and other Data Scientists to ensure project success.
• Keep up to date to apply latest technology trends in the areas of data science and artificial intelligence, including Generative AI.
• Flexibility to work in a global team (spanning across multiple time zones), with a culture of continuous innovation, teamwork, collaboration, and inclusion among team members.
• Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines.
• Advocate and facilitate the use of data-driven insights and data science methods across CLIENTs Global Finance organization.
• Understanding CLIENTs business as well as Global Finance function to better apply Data Science solutions.

TechData is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.