Sr Data Scientist

As a Data Scientist on this team, you will support a marketing analytics organization by using data to influence strategic business decisions and improve marketing performance.

You will work across initiatives including marketing attribution, customer segmentation, buyer group modeling, and ideal customer profile development. This includes querying and transforming large datasets, developing analytical models, identifying trends and insights, and translating findings into clear business recommendations.

This role requires someone who can independently work through data problems from initial question through analysis and recommendation, while understanding how their work connects to broader business objectives. You will partner closely with technical and business stakeholders and may present findings and recommendations to senior and executive-level audiences.

Success in this role requires a combination of strong hands-on SQL and Python capability, analytical thinking, business acumen, independence, and exceptional communication skills.

Skills and Requirements

6+ years of professional experience in Data Science, Advanced Analytics, or a related field, with demonstrated experience operating independently in an enterprise environment. Advanced, hands-on SQL skills, including querying and manipulating large datasets, working across multiple tables, joins, data validation, and troubleshooting data issues independently. Strong Python skills for data analysis, modeling, transformation, and automation. Experience working with complex, high-volume datasets within GCP or a comparable cloud data environment. Exceptional verbal communication and data storytelling skills, with the ability to clearly articulate technical approaches, individual contributions, business impact, and recommendations. Strong business acumen with the ability to understand the business strategy behind an analytics request and connect technical work to broader organizational objectives. Experience presenting analytical findings and recommendations to senior business and executive stakeholders. Proven ability to independently own analytics initiatives with limited day-to-day technical guidance while managing multiple priorities in a fast-paced environment. Experience with marketing analytics, attribution modeling, customer segmentation, buyer group modeling, or ideal customer profile development. Experience applying AI and machine learning techniques within analytics, modeling, or data science workflows. Familiarity with modern generative AI tools and their application to analytics or productivity workflows. Exposure to Teradata, PySpark, Scala, or similar big data technologies. Telecommunications industry experience.