Description
You will analyze large-scale datasets to derive actionable business insights and deploy machine learning models.
Responsibilities
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Develop and deploy machine learning models and statistical solutions for business problems.
- Build scalable data pipelines and leverage big data technologies for data processing.
- Collaborate with engineering and business teams to define problem statements and model objectives.
- Communicate findings through data storytelling, reports, and dashboards.
Required Skills
- 10+ years of experience in data science and analytics.
- Proficiency in Python, R, and SQL.
- Hands-on experience with Spark, PySpark, Hadoop, and Hive.
- Experience with cloud-based data platforms such as AWS or GCP.
- Solid understanding of machine learning algorithms, statistics, and data modeling.
- Experience using Tableau for data visualization.
- Ability to work with large-scale datasets and big data platforms.