Siemens Healthineers is hiring for a fresher entry level Data Scientist role in India

Company Description

Siemens Healthineers is a leading global healthcare organization dedicated to innovation in medical imaging, laboratory diagnostics, and healthcare IT.
With over 45,000 employees worldwide, Siemens Healthineers supports healthcare providers by offering advanced technology that improves patient outcomes and operational efficiency.
Known for its robust solutions across the patient care continuum—from prevention and early detection to diagnosis and treatment—the company ensures providers meet clinical, operational, and financial challenges in a rapidly changing healthcare environment.
As a trusted partner in healthcare, Siemens Healthineers combines state-of-the-art technology with deep expertise, empowering providers to deliver exceptional care with confidence.

The Data Scientist position at Siemens Healthineers involves spearheading cutting-edge analytics to derive actionable insights for business decision-making.
The role includes identifying opportunities through data exploration, developing high-quality analytical models, and implementing big data analytics projects.
A strong emphasis is placed on understanding business requirements, collaborating with IT and product teams, and deploying data visualization systems for optimal results.
The successful candidate will contribute to scalable data solutions, ensuring data accessibility, quality, and integrity while exploring innovative technologies to enhance analytics capabilities.

Educational Background:
- Degree in a quantitative discipline such as Mathematics, Computer Science, or Electrical Engineering.
Technical Skills:
- Proficiency in statistical and stochastic methods.
- Hands-on programming experience of at least one year.
- Strong command of programming languages like Python, R, SAS, MATLAB, Java, C, C++, JavaScript, or PHP.
- Experience with SQL coding for large datasets (minimum six months).
- Familiarity with data integration, transformation, quality evaluation, and cleansing.
- Hands-on experience in implementing analytical algorithms, including prediction models.
- Proficiency in MS Excel, Access, and PowerPoint.
Analytical and IT Expertise:
- Strong analytical skills with a knack for solving complex problems.
- IT-savvy with the ability to independently handle day-to-day technical challenges.
- Knowledge of SAS tools like Enterprise Guide, Enterprise Miner, Data Integration Studio, and Visual Analytics is advantageous.
Interpersonal and Project Skills:
- Excellent verbal and written communication skills.
- Strong time management, organizational, and project management capabilities.
- Willingness to travel for business purposes.

Responsibilities:
- Build and maintain a network of customers, business experts, and subject matter specialists to understand data analytics requirements and identify opportunities.
- Conduct thorough data exploration to identify relevant datasets and establish relationships within data.
- Integrate additional data sources as required and develop prototypes to validate insights in an industrial environment.
- Create marketable analytic models and configure algorithms to answer targeted business questions.
- Deploy optimal tools and visualization methods for displaying results based on cognitive science principles.
- Collaborate with enterprise IT and service/product teams to maintain and manage analytics models.
- Implement big data analytics projects and present results to internal and external stakeholders.
- Stay updated with and explore innovative technologies and open-source projects.
Key Deliverables:
- Scalable processes to manage growing data volumes while ensuring data quality and accessibility in collaboration with data architects.
- Development of effective visualization systems tailored to business needs.
Why Join Siemens Healthineers?
- Opportunity to work with cutting-edge technology in a global leader in the healthcare sector.
- A dynamic work environment that encourages innovation and professional growth.
- Engage in meaningful projects that directly impact patient outcomes and healthcare efficiencies worldwide.