Develop and implement big data strategies to address business challenges and opportunities.

Design and build scalable data pipelines to ingest, process, and store large datasets.

Apply machine learning techniques to extract insights and build predictive models.

Collaborate with cross-functional teams to understand data requirements and deliver data-driven solutions.

Perform data analysis and visualization to identify trends, patterns, and anomalies.

Evaluate and recommend big data technologies and platforms to meet business needs.

Ensure data quality and integrity by implementing data validation and cleansing processes.

Stay up-to-date with the latest advancements in big data and machine learning.

Communicate findings and recommendations to stakeholders through reports and presentations.

Develop and maintain documentation for data pipelines, models, and processes.

Analyze large datasets to identify trends, patterns, and insights relevant to business objectives.

Design and implement machine learning algorithms for predictive modeling and data-driven solutions.

Manage and optimize big data infrastructure, including Hadoop, Spark, and cloud-based solutions.

Extract, clean, and transform data from various sources to ensure data quality and reliability.

Apply statistical techniques to build models that explain data relationships and predict future outcomes.

Create compelling visualizations to communicate complex data insights to stakeholders.

Develop predictive models to forecast trends and support strategic decision-making.

Implement and deploy machine learning models into production systems.

Ensure data governance policies and compliance standards are followed.

Work with business stakeholders to understand their needs and deliver data-driven solutions.

Conduct research to explore new data science techniques and technologies.

Evaluate model performance and fine-tune parameters for optimal results.

Collect and analyze large datasets from various sources to identify trends and patterns.

Develop and implement machine learning models for predictive analytics and data-driven insights.

Design and build scalable data pipelines for efficient data processing and storage.

Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.

Communicate findings and recommendations to stakeholders through clear visualizations and reports.

Stay updated with the latest advancements in big data technologies and methodologies.

Ensure data quality and integrity by implementing data validation and cleansing processes.

Optimize data infrastructure for performance and cost-effectiveness.

Conduct research and experimentation to improve existing data models and algorithms.

Develop and maintain documentation for data processes and systems.

Implement data security measures to protect sensitive information.

Provide technical guidance and mentorship to junior data scientists and analysts.