Data Science Professional
1 month ago
Job Overview
IQVIA RDS (India) Private Limited is seeking a skilled Data Scientist to join our Bangalore team. As a Data Scientist at IQVIA, you will work on advanced data analytics, visualization, and predictive modeling to drive insights and decision-making in the healthcare and life sciences sectors.
Key Responsibilities
- Analyze large and complex datasets to extract meaningful insights and patterns.
- Develop predictive models and apply machine learning algorithms to solve business problems.
- Visualize data and analytical results using Matplotlib and other visualization tools to present insights in a clear and impactful manner.
- Collaborate with cross-functional teams to translate business problems into data science solutions.
- Continuously improve existing models and develop new ones to meet evolving business needs.
- Use Python, R, and other analytical tools for data manipulation, processing, and analysis.
- Document, present, and communicate findings to both technical and non-technical audiences.
Qualifications
- For Freshers:
- Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields.
- Technical Skills:
- Proficiency in Matplotlib is mandatory.
- Familiarity with Python and other data visualization libraries such as Seaborn or Plotly.
- Basic understanding of machine learning techniques and statistical analysis.
- For Experienced Candidates (1-5 years):
- Experience: 1-5 years of hands-on experience in data science, machine learning, or related fields.
- Technical Skills:
- Strong expertise in Matplotlib for data visualization.
- Proficiency in Python and experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, etc.).
- Experience in working with data visualization libraries such as Seaborn, Plotly, and Tableau.
- Familiarity with SQL, data manipulation techniques, and ETL processes.
Why Work with Us
IQVIA RDS (India) Private Limited offers a collaborative and innovative environment with diverse teams, access to cutting-edge technologies and tools in data science, and continuous learning and growth opportunities through structured training and career development programs.
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