Assistant Data Scientist

We are seeking an enthusiastic Assistant Data Scientist to join our Education & Training Division team. In this role, you will work under the direct supervision of the Director of Education & Training Analytics and collaborate closely with the Data Engineer to support data-driven decision-making. This position is perfect for a recent graduate or someone with up to one year of experience who is eager to tackle real-world data problems and enhance their analytical skills.

The ideal candidate is an enthusiastic, data professional with a strong analytical foundation and a passion for learning. They enjoy working with data to solve practical problems, collaborating with cross functional teams, and clearly communicating insights through visualizations and reports. This role is well suited for someone eager to grow their skills in analytics, machine learning, and data engineering while contributing to data-driven decision-making.

MD Anderson offers employees:
* Paid employee medical benefits (zero premium) starting on first day for employees who work 30 or more hours per week.
* Group Dental, Vision, Life, AD&D and Disability coverage.
* Paid time off (PTO) and Extended Illness Bank (EIB) paid leave accruals.
* Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs.
* Tuition Assistance Program after six months of service.
* Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans.
* Employer paid life, AD&D and an illness-related reduced salary pay program.
* Extensive wellness, recognition, fitness, employee health programs and employee resource groups.
* Opportunities for professional growth through Career Development Center and Mentoring programs.

JOB SPECIFIC COMPETENCIES:
* Data Preparation & Exploration: Clean, preprocess, and explore structured and unstructured data sources while ensuring data integrity.
* Business Problem Translation: Partner with the analytics team to translate business needs and questions into data-driven problems and actionable solutions.
* Statistical Modeling & Machine Learning: Assist in developing, testing, and deploying machine learning models and performing statistical analyses to uncover insights.
* Data Visualization & Reporting: Create clear, insightful visualizations and reports using Power Bi or libraries like Matplotlib and Plotly to communicate findings effectively.
* Collaboration with Data Engineer: Work together with the Data Engineer to build well-structured data pipelines and utilize APIs for real-time data access.
* Documentation & Communication: Maintain thorough documentation of data workflows, methodologies, and results, and present key insights to stakeholders in a clear manner.
* Other duties as assigned.

EDUCATION:
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
Preferred: Master's Degree in a related field.

EXPERIENCE:
Required: None.
Preferred: Proficient in Python, SQL, and machine learning libraries, applying supervised and unsupervised models.

The University of Texas MD Anderson Cancer Center offers excellent benefits , including medical, dental, paid time off , retirement , tuition benefits, educational opportunities, and individual and team recognition.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.

Additional Information

• Requisition ID: 177192
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days
• Minimum Salary: US Dollar (USD) 68,500
• Midpoint Salary: US Dollar (USD) 85,500
• Maximum Salary : US Dollar (USD) 102,500
• FLSA: exempt and not eligible for overtime pay
• Fund Type: Hard
• Work Location: Remote (within Texas only)
• Pivotal Position: Yes
• Referral Bonus Available?: No
• Relocation Assistance Available?: No

#LI-Remote