Data Scientist Intern

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

**Data Scientist Intern**

ResMed powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You’ll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise.

**Let’s talk about the team and you**

The Data Science intern and AI/ML platform team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight our partners and customers, and improve the way we do business in an “AI First” fashion. On any given day, the team could be working on building sophisticated models to delivering personalized recommendations to patients to improve their sleep, identify optimal equipment and settings using our unparalleled store of billion+ nights of sleep data, proactively identify other health risk factors, or help optimize complex, global supply chain operations.

**Let’s talk about the Role**:
**Let’s talk about the Responsibilities**:

- Assist in **data collection, cleaning, and preprocessing**for various projects.
- Develop and deploy **machine learning models**to solve business problems.
- Perform **data analysis and visualization**to derive actionable insights.
- Collaborate with cross-functional teams, including engineering, product, and business teams.
- Stay updated on the latest **data science tools and technologies**and share knowledge with the team.
- Document and present your findings, models, and recommendations to stakeholders.

**Required Skills**:

- Research, customization, and development of statistical and machine learning algorithms to meet the project requirements; tasks include defining hypotheses, executing necessary tests and experiments, evaluating, tuning and optimizing algorithms and methods to specific situations.
- Proficient in statistical analysis methods, including analysis of variance, regression, time series analysis, survival analysis, etc.
- Proficiency in **Python**for data analysis and modelling.
- Good understanding of **statistics, probability, and machine learning algorithms**.
- Basic understanding of **data visualization tools**like Matplotlib, Seaborn, or Tableau.
- Familiarity with **SQL**and working with relational databases.
- Knowledge of **libraries/frameworks**such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Good analytical and problem-solving skills.
- Excellent communication and teamwork abilities.

**Preferred Skills**:

- Understanding **cloud platforms**(AWS).
- Familiarity with **big data tools**like Spark, Hadoop, etc.
- Understanding of **NLP, Computer Vision, or Time Series Analysis**.
- Knowledge of **version control systems**(Github).

**What We Offer**:

- **Mentorship and training**from experienced data scientists.
- Hands-on experience with **real-world projects**.
- Exposure to the **latest tools and technologies**in data science.
- A **collaborative and inclusive work environment**.