Senior Data Scientist

This role resides within the Marketing Decision Science department.

Responsibilities

Modeling & Analytics:

• Develop, validate, and implement predictive models and algorithms to optimize channel performance and improve campaign performance.
• Use statistical techniques and machine learning algorithms to segment audiences, forecast trends, and evaluate impact.
• Communicate model outputs to both technical and non-technical partners.
• Continuously monitor model performance and update models as necessary.

Data Collection & Integration:

• Capture and integrate large, sophisticated datasets from multiple sources including internal CRM systems, advertising platforms, website analytics, and third-party vendors.
• Develop and maintain data pipelines to ensure timely and accurate data availability.
• Ensure data integrity and accuracy by performing routine data audits and validations.
• Clean, pre-process, and transform raw data into structured formats suitable for analysis and machine learning models.
• Collaborate with data engineers and business collaborators to produce source-of-truth datasets.

Data Analysis & Interpretation:

• Analyze datasets to identify trends, patterns, and insights related to paid media performance.
• Develop key performance indicators (KPIs) and metrics to measure the efficiency of paid media campaigns.
• Perform exploratory data analysis (EDA) to uncover insights and advise strategic decisions.
• Establish and carry out a plan to regularly communicate insights to partners.
• Use statistical and machine learning techniques to identify trends, anomalies, and predictive insights.
• Perform ad hoc analysis to support urgent business questions and needs.

Quality Assurance & Best Practices:

• Collaborate with data engineers to establish and implement data governance and standard methodologies for data management.
• Conduct regular reviews of data processes to identify areas for improvement.
• Stay updated with industry trends and advancements in data science and analytics.

Dashboard Development:

• Build and coordinate the development of sophisticated dashboards that provide insights into channel performance.
• Collaborate with data visualization experts and analysts to ensure dashboards are user-friendly and accessible.

Partner Collaboration:

• Collaborate closely with partner Marketing teams to understand campaign objectives.
• Communicate complicated technical concepts to data engineering teams, third-party consultants and contractors, and be able to simplify them for non-technical audiences as needed.
• Collaborate with data engineers and business partners to produce source-of-truth datasets.

Leadership and Mentorship:

• This role will be an individual contributor role that will work closely with a team of analysts, engineers, consultants, technical contractors, product and marketing teams. As the work and remit grows, there is a future potential to build out a team under this leader.

Qualifications

• Bachelor’s or Master’s degree in a technical field.
• 8-10+ years experience in data science and data analytics.
• Expertise with Web analytics platforms, metrics and data models required. Google Analytics preferred. Certification is a plus.
• Strong understanding of SQL and data modeling.
• Proven understanding of common machine learning methodologies such as regression, classification, clustering, and forecasting.
• 3+ years of experience in training, evaluating, testing, and deploying machine learning models.
• Experience with Snowflake or other data warehousing platforms such as Google BigQuery or Amazon Redshift.
• Proficiency in programming languages such as Python or R.
• Proficiency in data visualization and reporting tools such as Tableau.
• Proven experience in analyzing sophisticated, ambiguous problems and presenting the results to both technical and non-technical audiences.

Preferred Qualifications

• Understanding of B2B (business-to-business) sales process and datasets.
• Experience in lead technical roles.
• Salesforce product knowledge.
• Experience with dbt or other ETL platforms.

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.