Job Description:
We are seeking an experienced and innovative Senior Data Scientist to lead the development of advanced analytical models and data-driven strategies that drive key business decisions. As an expert in the field, you will work on high-impact projects involving predictive modeling, machine learning, statistical analysis, and data experimentation.
In this role, you will collaborate with cross-functional teams—engineering, product, marketing, and leadership—to solve complex problems and uncover actionable insights that directly influence business outcomes.
Key Responsibilities:
- Design, develop, and implement machine learning models and statistical algorithms to solve real-world business challenges.
- Lead end-to-end data science projects—from data discovery and cleaning to model deployment and performance monitoring.
- Translate complex data findings into clear, actionable recommendations for non-technical stakeholders.
- Mentor junior data scientists and analysts, fostering a culture of analytical excellence and continuous learning.
- Collaborate with data engineers to optimize data pipelines and ensure data quality and integrity.
- Conduct A/B testing and causal inference studies to evaluate business strategies and product features.
- Communicate findings through impactful data visualizations, dashboards, and presentations.
- Stay current with the latest techniques, tools, and research in machine learning and data science.
Requirement :
- Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of professional experience in a data science or applied machine learning role.
- Proven expertise in Python or R, with strong skills in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
- Deep knowledge of statistics, machine learning algorithms, and data modeling techniques.
- Experience with cloud platforms (AWS, Azure, or GCP) and big data tools (e.g., Spark, Hive).
- Proficiency in SQL and experience working with large-scale relational and non-relational databases.
- Strong communication and storytelling skills to present technical concepts to non-technical audiences.
- Demonstrated ability to lead complex analytical projects from conception to delivery.
