Consulting Technical Manager - Applications Developer (Clearance Required)

Oracle•Reston, VA

12h•Onsite

About The Position

Oracle Government, Defense & Intelligence has an exciting opportunity for a talented Cloud Data Science Engineer with a strong background in artificial intelligence, data analytics, and cloud technologies. The ideal candidate will have hands-on experience with cloud data-focused technology stacks and be proficient in Python, JupyterLab, and modern AI methods. Successful candidate will be responsible for building, deploying, and optimizing machine learning and analytics solutions. This position requires full time on site work ( 5 days/week) in the Reston VA area Must possess or have the ability to obtain and maintain a TS/SCI with Poly Responsibilities Key Responsibilities: Design, build, and deploy machine learning models and analytics solutions. Develop and automate data-driven pipelines, integrating end-to-end in-database machine learning solutions. Use advanced Python programming to implement data preprocessing, modeling, and evaluation in JupyterLab environments. Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI/ML solutions. Optimize and monitor model performance, ensuring security and compliance with Oracle best practices. Contribute to the adoption of AI/ML best practices and innovative analytics strategies within the organization. Create thorough documentation and provide knowledge transfer sessions related to OCI-based machine learning workflows. Required Qualifications: Experience working with cloud infrastructure service stacks, including Database, Compute, Object Storage, Identity and Access Management, and Key Management. Demonstrated expertise in using database technologies in conjunction with AI/ML and data science frameworks. Strong proficiency in Python for data science, including frameworks such as scikit-learn, pandas, numpy, etc. Experience working in JupyterLab environments for collaborative AI and analytics work. Solid background in AI/ML algorithms and workflows. Experience with complex data analysis and data science tasks using SQL, including data model design. Excellent problem-solving and communication skills. Preferred Qualifications: Oracle Cloud certifications (OCI Data Science, ADB, etc.). Experience with MLOps practices and DevOps in cloud environments. Familiarity with secure cloud architectures and enterprise compliance standards. Prior experience working in a global enterprise setting. Join us to be part of a forward-thinking team that’s pushing the boundaries of what’s possible in enterprise data engineering. Your expertise will help shape a scalable, reliable, and efficient data platform supporting mission-critical business decisions. Qualifications 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: $97,500 to $199,500 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 Oracle's 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 generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4

Requirements

Experience working with cloud infrastructure service stacks, including Database, Compute, Object Storage, Identity and Access Management, and Key Management.
Demonstrated expertise in using database technologies in conjunction with AI/ML and data science frameworks.
Strong proficiency in Python for data science, including frameworks such as scikit-learn, pandas, numpy, etc.
Experience working in JupyterLab environments for collaborative AI and analytics work.
Solid background in AI/ML algorithms and workflows.
Experience with complex data analysis and data science tasks using SQL, including data model design.
Excellent problem-solving and communication skills.
Must possess or have the ability to obtain and maintain a TS/SCI with Poly

Nice To Haves

Oracle Cloud certifications (OCI Data Science, ADB, etc.).
Experience with MLOps practices and DevOps in cloud environments.
Familiarity with secure cloud architectures and enterprise compliance standards.
Prior experience working in a global enterprise setting.

Responsibilities

Design, build, and deploy machine learning models and analytics solutions.
Develop and automate data-driven pipelines, integrating end-to-end in-database machine learning solutions.
Use advanced Python programming to implement data preprocessing, modeling, and evaluation in JupyterLab environments.
Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI/ML solutions.
Optimize and monitor model performance, ensuring security and compliance with Oracle best practices.
Contribute to the adoption of AI/ML best practices and innovative analytics strategies within the organization.
Create thorough documentation and provide knowledge transfer sessions related to OCI-based machine learning workflows.

Benefits

Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
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.
11 paid holidays
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.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance