Senior Data Scientist

Full time

Employment Information

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.

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