C

Citi

Runs banking and payments for global clients

VP Marketing Data Science

Data ScienceConfirmed live in the last 24 hours
Full-timeNew York, NY, USAHybrid

About the Job

Requirements

  • Six to ten years of experience in media measurement and analytics, preferably in financial services, client-side, agency-side, or publisher-side settings.
  • Proficiency in Python and R, with experience using relevant data science libraries and frameworks.
  • Experience with big data technologies, cloud platforms, and data visualization tools such as SQL, Tableau, Power BI, and Dataiku.
  • Hands-on experience with complex structured and unstructured marketing data, and experience leading predictive modeling using machine learning and deep learning or neural networks across multiple projects.
  • Strong understanding of artificial intelligence and machine learning concepts, including recurrent neural networks, long short-term memory networks, large language models, and natural language processing, and ability to identify an appropriate solution for business cases.
  • Ability to independently own and project-manage workstreams involving multiple stakeholders, with accountability and decisiveness.
  • Readiness for hands-on involvement in measurement to identify roadblocks and uncover solutions, with a curious and hypothesis-driven approach.
  • Ability to work in a process-oriented and organized manner and deliver high-quality work efficiently in a fast-paced, dynamic environment across teams.
  • Extensive experience working closely with legal, compliance, and procurement teams on technology contracting and approvals in a highly regulated environment.
  • Proficiency in Hive and SQL, as well as Python and R.
  • Experience with machine learning frameworks such as TensorFlow and PyTorch.
  • Experience with generative AI platforms and tools.
  • A bachelor's or university degree in Business Analytics, Finance, or Statistics is required.

Responsibilities

  • Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, cross-channel attribution, audience analytics, and user journey analytics.
  • Use multiple analytical approaches, tools, and techniques across media channel, acquisition, revenue, and digital data; conduct A/B testing and incrementality studies to address business questions through a marketing lens.
  • Use predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
  • Translate complex business questions into analytical problems and guide the team in developing appropriate data-driven solutions.
  • Communicate complex analytical concepts and data-driven insights clearly to senior leadership, marketing teams, and cross-functional partners.
  • Oversee the end-to-end model development lifecycle, from data collection and preprocessing through model building, validation, and deployment.
  • Ensure the team adheres to data science best practices, model governance, and ethical data usage, and ensure timely and effective model deployment.
  • Serve as an analytics subject matter expert, understand complex business problems, develop analytical approaches, simplify outcomes for stakeholders, and drive ideation on analytical projects.
  • Assess risk in business decisions, consider the firm's reputation and safeguard the company, clients, and assets; comply with applicable laws, rules, regulations, and policies; apply sound ethical judgment; and transparently escalate, manage, and report control issues.

Desired Qualifications

  • A master's or bachelor's degree in Business Analytics, Finance, or Statistics is identified in the education section, with an advanced degree preferred.

About the Company

Citi

Runs banking and payments for global clients

Citi runs banking, investment and payment services for companies, governments and individuals around the world. Its global network connects institutions with local banking systems, while its US consumer business sells credit cards and deposit accounts. Corporate clients use Citi to manage cash, finance trade and raise capital, and investors use its trading, custody and wealth services to hold and manage assets. The bank earns interest on loans and fees from payments, securities transactions, financial advice and account services. Citi traces its banking roots to 1812; the Citigroup holding company was formed in 1998, and its headquarters are in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1812

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