Data Analyst​/Data Scientist

and the job listing Expires on January 1, 2026

Location: [Insert Location]

Job Type: Full-time

Education Requirement: Master’s degree or higher

We are looking for a highly motivated individual with strong analytical skills to join our team as a Data Analyst / Data Scientist
. The ideal candidate should have a solid foundation in data processing, statistical analysis, and machine learning, along with the ability to derive actionable insights from complex datasets. While a degree in a related field (e.g., Computer Science, Statistics, Engineering) is a plus, we welcome applicants from diverse academic backgrounds who have acquired relevant technical skills.

• Collect, clean, and analyze large datasets to identify trends and patterns.
• Develop and implement machine learning models for predictive and prescriptive analytics.
• Collaborate with cross‑functional teams to translate business problems into data‑driven solutions.
• Create visualizations and reports to communicate findings to stakeholders.
• Optimize data pipelines and workflows for efficiency and scalability.
• Stay updated with the latest advancements in data science and analytics.

• Master’s degree (PhD is a plus) in any discipline, with coursework or hands‑on experience in data‑related fields.
• Proficiency in Python/R for data analysis and modeling.
• Experience with SQL for database querying and manipulation.
• Familiarity with machine learning frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Strong problem‑solving skills and ability to work independently.
• Good communication skills to present technical findings to non‑technical audiences.

• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure).
• Background in statistics, optimization, or operations research
  .

• Opportunity to work on high‑impact projects with real‑world applications.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.
• Continuous learning and professional development support.

If you are passionate about data and eager to apply your skills in a dynamic setting, we encourage you to apply!

Please submit your resume (CV), cover letter (optional), and any relevant project portfolios or Git Hub links to [Insert Email/Application Link].