Sr Associate-Data Science

Job Summary

The Sr Associate-Data Science role is pivotal in driving data-driven decision-making processes within our organization. With a focus on analysis and design the candidate will leverage their extensive experience in data science to develop innovative solutions. This hybrid role offers the flexibility of working both remotely and on-site ensuring a balanced work-life dynamic. The day shift schedule supports collaboration with cross-functional teams to enhance business outcomes.

Responsibilities

• Lead the development and implementation of data science models to optimize business processes and outcomes.
• Oversee the analysis and design of data-driven solutions that align with organizational goals.
• Provide insights and recommendations based on comprehensive data analysis to support strategic decision-making.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
• Develop and maintain scalable data pipelines and systems to support ongoing data analysis and reporting needs.
• Ensure data quality and integrity by implementing robust data validation and cleansing processes.
• Utilize advanced statistical and machine learning techniques to analyze large datasets and extract meaningful insights.
• Communicate complex data findings in a clear and concise manner to stakeholders at all levels of the organization.
• Stay updated with the latest trends and advancements in data science to continuously improve analytical capabilities.
• Mentor and guide junior data scientists to foster a culture of learning and development within the team.
• Contribute to the development of data governance policies and best practices to ensure data security and compliance.
• Support the design and execution of experiments to test hypotheses and validate data-driven strategies.
• Collaborate with IT and engineering teams to integrate data science solutions into existing systems and workflows.

Qualifications

• Possess a strong background in analysis and design with a focus on data science methodologies.
• Demonstrate expertise in statistical analysis and machine learning techniques.
• Exhibit proficiency in programming languages such as Python or R for data manipulation and analysis.
• Have experience with data visualization tools to effectively communicate insights.
• Show a track record of successfully leading data science projects from conception to implementation.
• Display excellent problem-solving skills and the ability to work independently and collaboratively.
• Hold a degree in a relevant field such as Computer Science Statistics or Data Science.

Certifications Required

Certified Data Scientist (CDS) Advanced Analytics Professional (AAP)