Senior Data Scientist

Responsibilities

1. Data analysis and modeling, including: Designing and developing machine learning and predictive models and algorithms.

• Performing exploratory data analysis to identify patterns and trends.
• Developing and maintaining database and data systems to support business needs.
• Interpreting and communicating data analysis results to stakeholders.
• Collaborating with other teams to develop and implement data-driven solutions.

2. Data management and governance, including: Ensuring compliance with data privacy regulations and company data governance policies.

• Developing and implementing data access and security controls.
• Identifying and resolving data quality issues.
• Managing data migration and integration projects.

3. Provide subject matter expertise on data-related topics, including: Providing guidance and support to other teams on data-related issues.

• Developing and delivering training and education materials related to data analysis and modeling.
• Employing data science tools to improve data collection and accuracy.
• Identifying opportunities to utilize data science tools to streamline business processes and increase efficiency.
• Using data science tools to improve technical reports and the effectiveness of reporting databases and platforms.

4. Collaborate with stakeholders to identify and prioritize data-related initiatives, including: Partnering with business leaders to understand their data needs and goals.

• Contributing to the development of data strategies and roadmaps.
• Providing recommendations for data-related investments and initiatives.
• Leading or participating in cross-functional teams to execute data-related initiatives.

Qualifications:

• Minimum of 5 years of experience in data analysis/science and modeling, with a focus on machine learning and/or predictive analytics.
• Strong knowledge of data science tools, including data quality, governance, and security.
• Strong proficiency in data science tools such as R or Python. Experience with data visualization tools such as Tableau or Power BI. Experience with SQL and other database technologies.
• Ability to work independently and manage multiple projects simultaneously.