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Data Scientist I at Oracle in Boise, Idaho, United States Job Description Job Description The Data Scientist I, Advanced Methods role is a Commercial Research position contributing to the development of Oracle Life Sciences commercial offer, harnessing health databases, healthcare expertise, and knowledge of the commercialization needs of the life sciences industry. The role works directly with Senior/Client Leads, Research to determine the best methods and approaches to answer business questions utilizing real world data sources and primary market research. What you can expect from working with Oracle Life Sciences + A passionate and growing quantitative network comprising expertise in advanced methods, behavioral science, electronic health records, and digital methods. + A stead-fast and growth strategy focused on oncology, rare disease, and specialist healthcare / life-science + Work within a team (immediate and global) culture of growth-mindset and collaboration, focused on inclusivity, idea sharing and fun + A development framework, encompassing all levels of the career journey, to enhance knowledge and skills in this ever-evolving industry Responsibilities: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Also supports advanced analytics for primary market research. This position is critical to identifying insights from health data to answer life sciences commercial business questions and improve patient outcomes. Primary Responsibilities + Enable development of commercial syndicated and semi-syndicated offers from real world data + Provide internal and client support and education regarding health data sets + Support custom commercial business development discussions regarding real world data and participate in the creation of custom commercial proposals + Support execution and completion of custom projects involving real world data Technical Responsibilities + Access, extract, cleanse, compile and transform disparate data sets to conduct exploratory and pre-defined analyses using scientifically valid techniques to determine data quality and generate meaningful insights + Contribute to discovery of meaningful insights from the data that relate to important use-cases using scientifically valid techniques + Support iterative selection and application of modern statistical and machine learning techniques and evaluation methods to derive best candidate approaches and models + Interact with clinical and business teams and leaders to identify relevant questions and issues for data analysis and experimentation that support client clinical and business needs or problems. + Propose new uses for existing data sets or sources, algorithms, and predictive models Qualifications Basic Qualifications + Education: Masters (Ph.D. preferred) in Mathematics, Statistics, Economics, Information Systems, Information Technologies, Management Information Systems, Computer Sciences, Public Health, or Epidemiology or related area of study + Minimum of 3+ years industry experience in data science work including data management, transformation, and visualization + At least 3 years of work experience with SQL, Python, or PySpark + Proficient in communicating effectively with both technical and nontechnical stakeholders + Experience building complex data sets from multiple data sources, both internally and externally + Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R), experience with machine learning Preferred Qualifications + At least 1 year of work experience with Cloud technologies, like AWS, Azure, or OCI + At least 1 year of work experience with Big Data tools, like Databricks, Jupyter Notebooks + Advanced competency and expertise in Python, Databricks, and other platforms + Advanced competency with unstructured data and NLP techniques + Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline Responsibilities Primary Responsibilities + Enable development of commercial syndicated and semi-syndicated offers from real world data + Provide internal and client support and education regarding health data sets + Support custom commercial business development discussions regarding real world data and participate in the creation of custom commercial proposals + Support execution and completion of custom projects involving real world data Technical Responsibilities + Access, extract, cleanse, compile and transform disparate data sets to conduct exploratory and pre-defined analyses using scientifically valid techniques to determine data quality and generate meaningful insights + Contribute to discovery of meaningful insights from the data that relate to important use-cases using scientifically valid techniques + Support iterative selection and application of modern statistical and machine learning techniques and evaluation methods to derive best candidate approaches and models + Interact with clinical and business teams and leaders to identify relevant questions and issues for data analysis and experimentation that support client clinical and business needs or problems. + Propose new uses for existing data sets or sources, algorithms, and predictive models Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from $30.29 to $60.63 per hour; from: $63,000 to $126,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracles differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will ge To view full details and how to apply, please login or create a Job Seeker account