Senior Data Scientist

Job Summary:

We are seeking a highly skilled and experienced Senior Data Scientist to lead complex data science projects and drive strategic insights. This role requires expertise in statistical modeling, machine learning, and data storytelling to influence business decisions and product strategy. The ideal candidate should have strong collaboration skills, the ability to independently solve problems, and a self-driven approach to continuous learning.

Key Responsibilities:

• Design, develop, and implement advanced statistical models and machine learning algorithms to solve business problems.

• Collaborate with cross-functional teams (Product, Engineering, Marketing, etc.) from different lines of business to understand requirements and deliver actionable insights.

• Execute analytics projects, including data extraction, cleaning, modeling, and interpreting results, while collaborating with senior team members on data-driven solutions.

• Translate complex analytical outcomes into clear, business-friendly insights and recommendations.

• Mentor and provide technical guidance to junior data scientists and analysts.

• Evaluate and recommend new tools, techniques, and technologies to improve analytical capabilities.

• Ensure the integrity, accuracy, and usability of data sources and models.

Qualifications:

• MSc in Computer Science, Statistics, Mathematics, Data Science, or a related field.

• 3+ years of hands-on experience in data science or applied machine learning roles.

• Proficiency in Python, R, or similar languages; experience with SQL is essential.

• Deep knowledge of machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).

• Experience working with large datasets and cloud platforms (AWS, GCP, or Azure).

• Having statistical background with experience in A/B testing, regression, time series analysis, etc.

• Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.

Preferred Skills:

• Familiarity with version control tools like GitLab.

• Knowledge of model deployment in AWS, GCP, or Azure and experience with data engineering tools (e.g., Spark, Airflow, or dbt).

• Domain experience in fintech, e-commerce, healthcare, hospitality and/or estate/property management is a plus.

• Exposure to data privacy, governance, and responsible AI practices.