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

Position:

• Job Title: Data Scientist

Company:

• Name: Siemens Healthineers
• Legal Entity: Siemens Healthcare Private Limited

Location:

• City: Chennai
• State: Tamil Nadu
• Country: India

Job Type:

• Employment Type: Full-time
• Contract Type: Permanent

Job Mode:

• Work Model: Onsite

Job Requisition ID:

• ID: 445897

Years of Experience:

• Experience Level: Early Professional (0-3 years)
  

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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.

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Profile Overview

• 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.

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Qualifications

• 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.

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Additional Info

• 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.

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