Senior Data Scientist (225-731)

We are seeking a skilled and highly motivated Senior Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data science, advanced statistical analysis, and machine learning. As a Senior Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights to drive business growth and innovation. You will collaborate with cross-functional teams to understand business needs and deliver data-driven solutions that support strategic decision-making. This position provides an exciting opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions in a fast-paced environment.

Responsibilities

• Conduct detailed analysis of large datasets to extract actionable insights.
• Develop and implement advanced predictive models and machine learning algorithms.
• Collaborate with product managers and engineers to understand business needs and goals.
• Provide technical leadership and mentorship to junior data science team members.
• Utilize statistical tools to interpret data sets, paying particular attention to trends and patterns.
• Create and manage data pipelines to support data analysis and visualization efforts.
• Communicate complex analytics results in a concise manner to non-technical stakeholders.
• Design and prototype new algorithms for real-time data processing and analytics.
• Ensure data quality and integrity in mining procedures and statistical analysis processes.
• Stay abreast of emerging technologies, tools, and best practices in data science field.
• Prepare reports and presentations that effectively communicate analytical findings.
• Work with various data formats and data stores, such as SQL and NoSQL databases.

Requirements

• Master’s degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience in advanced statistical analysis and predictive modeling.
• Strong proficiency in programming languages such as Python, R, or Java.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Exceptional problem-solving skills and attention to detail in data analysis tasks.
• Ability to communicate complex analyses and results clearly to stakeholders.
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch.