Sr. Data Scientist (225-1007)

As a Senior Data Scientist, you will play a crucial role in transforming complex data into actionable insights, driving strategic decision-making for our organization. You will be responsible for leveraging advanced statistical models and machine learning algorithms to analyze large datasets and deliver predictive models that solve business challenges. Your expertise will guide the deployment of data-driven solutions that enhance company operations and contribute to our growth. This position requires a collaborative mindset to work alongside multi-disciplinary teams, including data engineers, product managers, and business analysts, ensuring the alignment of data science initiatives with overall business goals. A deep understanding of data trends, patterns, and algorithms is essential, as is the ability to communicate findings effectively to both technical and non-technical stakeholders.

Responsibilities

• Develop and implement advanced predictive models to address complex business challenges.
• Leverage machine learning algorithms to uncover trends and insights from large datasets.
• Collaborate with cross-functional teams to integrate data science solutions into business operations.
• Lead the design and testing of new methodologies for data processing and analysis.
• Provide guidance and mentorship to junior data scientists and analysts.
• Communicate complex analytical results to non-technical stakeholders in an understandable manner.
• Ensure data integrity and quality by deploying robust validation and testing techniques.
• Utilize data visualization tools to present findings and recommendations effectively.
• Engage in continuous research to stay updated with industry trends and best practices.
• Collaborate with IT teams to ensure the availability and performance of data resources.
• Participate in strategic planning and contribute to the development of data strategy roadmaps.
• Evaluate and implement new tools and technologies to enhance data analysis capabilities.

Requirements

• Master’s degree or Ph.D. in Data Science, Statistics, or a related field.
• At least five years of experience in data science or a related role.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong experience with machine learning frameworks and tools like TensorFlow or PyTorch.
• Excellent problem-solving skills and the ability to work independently.
• Effective communication skills to explain complex concepts to a broad audience.
• Experience with data visualization tools, such as Tableau or Power BI, preferred.