Senior Data Scientist

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Participate in building out and maintaining a world class finance reporting and analytics environment to provide data-based insight into key financial reporting. Work creatively on a variety of projects across a global organization with a diverse set of people. Collaborate with internal stakeholder to provide data-driven solutions to complex strategic and tactical challenges. Combine problem-solving, data-analysis, and technical skills to identify, quantify, and solve business problems. Build accurate time series, optimization, and machine learning models. Perform advanced statistical analysis. Develop and deploy end-to-end data science solutions from idea generation phase, PoC development to full productization. Drive actions and business impact through effective data presentation and data story telling. Communicate to share knowledge and findings, presenting results in a manner that the finance team and business partners can understand. Show track record of using machine learning for predictive modeling and forecasting. Demonstrate ability to take ambiguous problems and solve in a structured, hypothesis-driven, data-supported way. Use in-depth data science expertise to influence the data science lifecycle.

May telecommute from home part-time.

Employer will accept a Master's degree in Business Analytics, Statistics, Computer Science, or related field and 36 months of experience in the job offered or in a Senior Data Scientist -related occupation.

Position also requires experience in:

1. Knowledge in concepts and implementation of AI, ML, optimization algorithms, statistics, modelling and simulation;

2. Experience with tacking and ensembling methods, model performance analysis, explainability methods, parameter search and optimization;

3. Knowledge in feature engineering, dimensionality reduction for labeled and unlabeled data sets, handling imbalance, intelligent representative sampling, data augmentation methods for numerical/image data and continuous learning;

4. Python or R;

5. ML frameworks such as TensorFlow, Keras, PyTorch, or Sci-kit learn;

6. Big data, cloud platforms and ML Ops tools and methods; and

7. SQL.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future.  We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget.  Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave.  Additionally, Micron benefits include a robust paid time-off program and paid holidays.  For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at  hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

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