Generative AI Data Scientist

Posted 5 Days Ago
Be an Early Applicant
Atlanta, GA
134K-200K Annually
Senior level
Healthtech
The Role
The Generative AI Data Scientist will analyze complex datasets, develop GenAI applications and statistical models, and provide actionable insights. Responsibilities include collaborating with teams, monitoring model performance, executing experiments, and mentoring junior team members, all while staying current with advancements in data science and machine learning.
Summary Generated by Built In

We anticipate the application window for this opening will close on - 24 Feb 2025


 

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the LifeDo you have a passion to transform organizations from data driven to value driven? Would you like to work in an environment where your technical abilities will be challenged on every project? If so, you will be a great addition to Medtronic Diabetes Data and Analytics team. We are seeking a highly skilled and experienced Data Scientist to join our team. As a GenAI Data Scientist, you will be responsible for analyzing complex datasets, developing GenAI applications, and providing actionable insights to drive business decisions. You will work closely with cross-functional teams to identify opportunities for data-driven solutions, contribute to the development of innovative data products and develop advanced analytical models and actionable insights that fuel our growth and optimize our operations.

As a Generative AI Data Scientist, you will play a critical role in our data and ML operations. The primary responsibility will be to apply Generative AI and advanced machine learning and computer science techniques to develop, validate, modify, and test ML systems for specific business needs at an advanced level.

Our mission drives the need to be a highly skilled, flexible, extremely efficient, versatile, and agile in software product development for the benefit of our patients with Type 1 and Type 2 diabetes in need of intensive insulin therapy.

Diabetes impacts over 500 million people around the world — that’s roughly one in 10 adults. That means you probably know someone affected by this disease. At Medtronic, our Diabetes Operating Unit focuses on improving the lives of those within the global diabetes community. As a business, we strive to empower people with diabetes to live life on their terms by delivering innovation that truly matters and providing support in the ways they need it. We’re committed to meeting people with diabetes where they are in their journey, always with an aim to make their lives easier. Our portfolio of innovative solutions is designed to provide customers greater freedom and better health, helping them achieve

better glucose control, while spending less time managing their disease.

What you will do:

Responsibilities may include the following and other duties may be assigned.

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

- Analyze large, complex datasets to identify trends, patterns, and insights.

- Develop and implement statistical models, machine learning algorithms, GenAI applications to solve business problems.

- Develop processes and tools to monitor and analyze model performance and data accuracy.

- Use software design principles to develop production ready code.

- Collaborate with cross-functional teams to define project objectives and deliverables.

- Design and execute experiments to test hypotheses and validate models.

- Communicate findings and insights to stakeholders in a clear and concise manner.

- Stay up-to-date with the latest advancements in data science and machine learning techniques.

- Mentor and provide guidance to junior data scientists.

Required Knowledge and Experience: Requires advanced knowledge of job area combining breadth and depth, typically obtained through advanced education combined with experience.
May have practical knowledge of project management.
Requires a Baccalaureate degree and minimum of 4 years of relevant experience, or advanced degree with a minimum of 2 years relevant experience.

Preferred Qualifications:

Strong understanding of ML algorithms and techniques: supervised and unsupervised learning, deep learning. Deep knowledge in NLP, Computer Vision, and GenAI, including GANs, VAEs, and deep learning architectures like Transformers, BERT, GPT, etc.

- Strong programming skills in languages such as Python. Must be an expert in writing ML code.

- Working experience with full-stack web development (Flask, Panel).

- Proficiency in data manipulation and analysis using SQL and Spark. Can build vector DB.

- Hands-on experience in state-of-the-art ML and DL as applied to large-scale datasets.

- Hands-on experience with ML frameworks and libraries (PyTorch, Scikit-learn, NLTK, llama-index, Langchain).

- Solid understanding of statistical concepts and techniques. Strong Math background.

- Solid understanding of feature engineering, model evaluation techniques, vector DB, and RAG applications.

- Working experience with cloud computing platforms (AWS).

- Working experience with deploying, monitoring, and finetuning ML models, LLM models.

- Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Mathematics, or related field).

- Proven experience as a GenAI Data Scientist or Machine Learning Engineer. Minimum of 5 years of relevant experience

- We’re looking for someone with 5-10 years of experience manipulating data sets and building ML models/GenAI applications, has a PhD in a quantitative or engineering field.

- Hands-on experience with big data technologies, vector database, LLMs, RAG applications.

- Knowledge of data visualization tools (Panel, Plotly, or similar opensource data apps tool).

- Working knowledge of cloud computing platforms (AWS, Databricks).

- Experience with cloud ML platforms (Bedrock or Databricks ML).

- Hands-on experience with data orchestration tools and CI/CD (Databricks Workflow, MLFlow, GitHub Action)

- Working experience with FastAPI, Flask, CSS, JavaScript.

- Expert in deploying and monitoring ML models, LLM models.

- Ability to drive projects.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.

Benefits & Compensation
 

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create.  We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
 

Salary ranges for U.S (excl. PR) locations (USD):$133,600.00 - $200,400.00

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).

The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program).

 

The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).

 

Regular employees are those who are not temporary, such as interns.  Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico.

 

Further details are available at the link below:

Medtronic benefits and compensation plans

About Medtronic

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 90,000+ passionate people. 
We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here.

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.

If you are applying to perform work for Medtronic, Inc. (“Medtronic”) in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Top Skills

Python
SQL
The Company
HQ: Minneapolis, MN
80,303 Employees
On-site Workplace

What We Do

Medtronic is a global healthcare solutions company operating in approximately 160 countries. We are committed to improving lives through our medical technologies, services, and solutions.

Since our beginning, 60 years ago, our Mission has remained the same: to alleviate pain, restore health, and extend life for people around the world. The Mission is our ethical framework and inspirational goal guiding our day-to-day work. It reminds us that our efforts are transforming millions of lives each year.

To meet the needs of patients and healthcare professionals around the globe, we operate from more than 370 locations in approximately 160 countries.

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