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Senior Python Data Science Jobs in New York (NOW HIRING)

SVP Marketing Data Science

Manhattan, NY · On-site

$163.60 - $245.40/hr

The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger ... Proficiency in programming languages such as Python and R, and experience with relevant data ...

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Role: Sr Python Developer Position : Contract / Full Time Accepts H1B transfers Location: Jersey ... A degree in Computer Science or an equivalent engineering foundation. * 5+ years of building and ...

Partner with senior leaders across Product, Engineering, Program, and Operations to understand ... Deep expertise in Python, SQL, and modern data science/ML tooling (Pandas, NumPy, TensorFlow, etc.

New

About the Role This is a senior leadership role on the Global Product Management Data Science team ... Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ...

About the Role This is a senior leadership role on the Global Product Management Data Science team ... Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ...

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Role: Sr Python Developer Position : Contract / Full Time Exp: 10+ years only Accepts H1B transfers ... A degree in Computer Science or an equivalent engineering foundation. * 5+ years of building and ...

Overview The VP, Marketing Data Science is a highly experienced and senior role, part of the larger ... Proficiency in Python and R and experience with relevant data science libraries and frameworks.

Showing results 41-60

Senior Python Data Science information

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

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SVP Marketing Data Science

Citigroup Inc.

Manhattan, NY • On-site

$163.60 - $245.40/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks


Job description

The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the Head of Media Science. This role will primarily perform advanced analytics on data from the clean room, marketing data analytics, audience analytics, creative analysis, consumer journey, attribution and scenario planning. This pivotal role will be responsible for leading advanced analytics initiatives and developing sophisticated measurement models to optimize marketing spend and drive demonstrable business impact. The successful candidate will be a strategic thinker with deep expertise in data science, marketing analytics, and a proven track record of translating complex data into actionable insights for senior stakeholders. This role will involve leading a team of data scientists, providing technical guidance, and fostering a culture of innovation and data-driven decision-making within the marketing function.

The Media Sciences team leads the transformation of Citi’s media investment and measurement, while delivering positive return on marketing investment and future‑proofing our business. The team works in close partnership with US and Global Digital Media, Analytics, Acquisitions, Advertising and Product Management teams.

Key responsibilities
  • Advanced Analytics: Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, cross-channel attribution, audience analytics and user journey analytics.
  • Hands on implementation: Leverage multiple analytical approaches, tools and techniques, working on multiple data sources (media channel data, acquisitions data, revenue data, digital data,) A/B testing, incrementality studies addressing business questions through marketing lens.
  • Utilize predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
  • Strategic Leadership: Lead the development and execution of the marketing advanced analytics roadmap, aligning with overall business objectives and marketing strategies. Provide thought leadership in the application of data science to marketing challenges, identifying new opportunities for leveraging data and analytics to drive growth and efficiency.
  • Lead, mentor, and manage a team of data scientists, fostering their professional growth and technical capabilities, and guide the team in developing appropriate data-driven solutions.
  • Stakeholder communication: Communicate complex analytical concepts and data driven insights clearly and concisely to diverse audiences, including senior leadership, marketing teams, and cross-functional partners.
  • Operational Excellence: Oversee the end-to-end model development lifecycle, from data collection and preprocessing to model building, validation, and deployment. Experience in commercialization and go-to-market for analytics project is a plus.
  • Accountability: Ensure the team adheres to best practices in data science, model governance, and ethical data usage and ensure timely and effective deployment of models.
  • Thought Leadership: This role will serve as a subject matter expert in analytics – ability to understand complex business problems, develop analytical approaches to solve them and simplify outcomes for stakeholders. Drive ideation on analytical projects and present actionable recommendations based on data insights to influence strategic marketing decisions.
Qualifications
  • 10 plus years’ experience within media measurement and analytics, preferably in financial services, client side, agency side or publisher side.
  • Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks.
  • Experience with big data technologies, cloud platforms, and data visualization tools (e.g., SQL, Tableau, Power BI, Dataiku).
  • Hands on experience working with complex structured and unstructured marketing data Experience leading predictive modeling using Machine Learning, Deep Learning/ Neural Networks across multiple projects.
  • Strong understanding of core AI/ML concepts (e.g., RNN, LSTMs, LLMs, NLP) and ability to identify the optimal solution for any business case.
  • Should be able to independently own and project manage workstreams involving multiple stakeholders, show strong sense of accountability and decisiveness in strong work ethic.
  • Must be ready for hands on involvement in measurement to identify roadblocks and uncover solutions, operate with curiosity and is hypothesis driven.
  • Must be process oriented and organized, operate efficiently to deliver high-quality work in a fast paced and dynamic environment across different teams.
  • Extensive experience working closely with legal, compliance, and procurement teams on technology contracting and approvals in a highly regulated environment.
  • Tools and Platforms:
    • Proficient in Python / R, Hive / SQL
    • Experience on machine learning frameworks like TensorFlow, PyTorch etc.
    • Good to have: Experience on Gen AI platforms and tools

Masters or Bachelor’s degree in Business Analytics, Finance, Statistics. Advanced degree preferred.

Primary Location Full Time Salary Range: $163,600.00 - $245,400.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

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What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US