Responsibilities:

Collect, process, and analyze large datasets from multiple sources to support business decisions.
Develop predictive models, machine learning algorithms, and statistical analyses.
Communicate findings and insights to stakeholders through visualizations, reports, and presentations.
Collaborate with cross-functional teams including engineering, product, and marketing to identify opportunities for data-driven improvements.
Optimize and maintain data pipelines, ensuring data quality and integrity.
Stay updated with latest trends and technologies in data science and machine learning.


Qualifications / Requirements:

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
Proven experience as a Data Scientist, Data Analyst, or similar role.
Strong proficiency in programming languages such as Python, R, or SQL.
Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Solid understanding of statistics, probability, and data modeling.
Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn.
Ability to work independently in a remote environment with excellent time management skills.
Strong problem-solving skills and attention to detail.
Excellent communication skills in English, both written and verbal.