Siro Clinpharm

Job Description

- We are looking for a highly skilled Data Scientist/Statistical Programmer with strong expertise in R, Python, and SAS to join our team.

- This role involves leveraging your programming skills to analyze complex datasets, develop statistical models, and create insightful reports.

- The ideal candidate will have experience in data manipulation, statistical analysis, and data visualization, with a focus on delivering actionable insights and supporting data-driven decision-making processes.

- Utilize R, Python, and SAS to perform advanced data analysis, including data cleaning, transformation, and statistical modeling.

- Interpret complex datasets to generate actionable insights and support business objectives.

- Develop and implement statistical models using R and SAS to analyze trends, patterns, and relationships within large datasets.

- Ensure models are validated and reliable.

- Write efficient, well-documented, and reusable code in R and Python for data processing, analysis, and visualization.

- Develop and maintain SAS programs for data manipulation and reporting.

- Create clear, informative, and interactive visualizations to represent complex data insights.

- Utilize tools and libraries in R (e.g, ggplot2) and Python (e.g, Matplotlib, Seaborn) to present data effectively.

- Generate comprehensive reports and dashboards that effectively communicate findings and support decision-making.

- Ensure that reports are accurate, timely, and meet stakeholder requirements.

- Work closely with cross-functional teams, including data analysts, statisticians, and business stakeholders, to understand data needs and deliver solutions that meet project requirements.

- Perform rigorous testing and validation of data analysis processes and models.

- Identify and address any discrepancies, errors, or issues in the data or analysis.

- Stay current with industry trends, tools, and best practices in data science and statistical programming.

- Propose and implement improvements to enhance data analysis processes and methodologies.

Education :

- Bachelor's degree in Data Science, Computer Science or a related field.

- Experience in data analysis, statistical programming, and data visualization using R, Python, and SAS.

- Proven experience in handling large datasets, developing statistical models, and creating data-driven insights.

- Proficiency in R programming, including experience with data manipulation libraries (e.g, dplyr, tidyr) and visualization tools (e.g, ggplot2).

- Expertise in Python for data analysis, including libraries such as pandas, NumPy, and visualization tools (e.g, Matplotlib, Seaborn).

- Strong knowledge of SAS programming, including data management, statistical procedures, and report generation.

- Solid understanding of statistical methods, including regression analysis, hypothesis testing, and machine learning techniques.

- Familiarity with SQL and experience in querying databases.

- Excellent analytical and problem-solving abilities with strong attention to detail.

- Effective communication skills, with the ability to present complex data insights to both technical and non-technical stakeholders.

- Strong organizational skills with the ability to manage multiple projects and deadlines simultaneously.

- Ability to work both independently and collaboratively in a fast-paced environment