As a (Senior) Data Scientist, you will play a key role in transforming data into actionable insights and driving strategic decision-making within the organization. You will use advanced analytics techniques—including statistical modeling, machine learning, and data mining—to extract valuable insights from large and complex datasets. Working closely with cross-functional teams, you will design and implement data-driven solutions that optimize processes, improve customer experiences, and contribute to company growth.

Key Responsibilities

- Model Development & Analysis: Build and refine predictive models, machine learning algorithms, and statistical analyses to address business challenges.
- Data Exploration & Cleaning: Collect, preprocess, and analyze large datasets from multiple sources to identify trends, patterns, and anomalies.
- Collaboration: Partner with product managers, engineers, and stakeholders to identify opportunities for leveraging data to drive business solutions.
- Data Visualization & Reporting: Present findings via compelling data visualizations and dashboards to both technical and non-technical audiences.
- Continuous Improvement: Stay updated on the latest data science methodologies, tools, and best practices. Proactively recommend improvements to enhance efficiency and effectiveness.
- Mentorship (Senior Level): Provide technical guidance and mentorship to junior data scientists and analysts, fostering a collaborative, knowledge-sharing environment.