Sr. Staff Data Scientist
Abbott Laboratories - San Diego, CA
posted 4 days ago
About the position
The Senior Data Scientist is within our Infectious Diseases business unit located in San Diego, California. This role is on-site daily, remote is not an option. This is from the division that developed at record time a molecular test within minutes for Covid-19 at the heights of the pandemic, we are looking for talented AI/ML and Data Scientists to develop the next breakthrough tools that will alter the way we work and expedite that time to result across various products in our division. This is a key technical role in our growing AI team contributing to the design and development of our instrument platforms within the Instrument Software & Systems organization. The right candidate for this position will be an experienced Data Scientist who has demonstrated success in leading AI projects and initiatives that support continuous improvement in R&D, Operations, and Commercial teams. Artificial Intelligence is a transformational technology that can bring revolutionary improvements to the internal functions of the enterprise as well as to our customers. This role will be key to driving the 'AI' projects to realize new efficiencies in all areas of the business.
Responsibilities
- Drive and develop AI technologies and solutions that provide transformational impact to the functions of our business.
- Develop statistical and machine learning algorithms to meet complex product requirements.
- Work closely with stakeholders from Product Management, Engineering, and other business stakeholders to create impactful, intelligent features and products.
- Collaborate closely with other team members including other Data Scientists, Machine Learning Engineers, and Data Engineers and 'own' the end-to-end process.
- Mentor and train more junior team members and serve as a go-to expert in your area of statistics and machine learning.
- Thoroughly and diligently document the model design, experiments, tests, validations, and live metrics and outcomes.
Requirements
- Bachelor's degree in Computer Science, Engineering (Mathematics/Physics), Information Systems, or related field.
- 8+ years' industry/academia experience in Data Science.
Nice-to-haves
- M.S. or Ph.D. in Computer Science, Engineering (Mathematics/Physics), Information Systems, or related field.
- Deep grounding in machine learning techniques including regression methods, classification, Neural Networks, Deep Learning, as well as knowledge of clustering and unsupervised learning, time series forecasting and optimization methods.
- Knowledge and experience in developing RAG systems using Azure or other platforms.
- Develop and maintain a web portal for user interaction.
- Technical experience in building intelligent data products, prediction models and recommendation engines using ML/AI.
- Proficient with programming in Python, and other languages such as R, Java, and C++.
- Hands-on experience handling large and distributed datasets.
- Strong database skills and experience, including experience with SQL programming.
- Experience with Azure or other cloud-based tools and technologies for data pipelining, model development, and deployment.
- Excellent skills in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies.
Benefits
- Career development with an international company.
- Free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
- An excellent retirement savings plan with a high employer contribution.
- Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit.
- Recognized as a great place to work in dozens of countries worldwide.
- Best place to work for diversity, working mothers, female executives, and scientists.
