IBM Lead Data Scientist in NEW YORK, New York

Job Description

Discover what you can do at IBM.

Data Science is a critical team within the Marketing Analytics & Data organization. The team builds first-of-a-kind capabilities using advanced statistical modeling techniques that scale across all of IBM’s business units and geographies. The team’s ultimate mission is to create cutting-edge analytics that achieves measurable business outcomes for IBM.

The Marketing Data Scientist is an important, integral part of the IBM Marketing Analytics team. This position is responsible for uncovering meaningful data patterns and transforming them into actionable insights by leveraging predictive modeling, data mining, and machine learning algorithms. This includes customer segmentation and profiling, churn, Customer Lifetime Value, marketing mix modeling, propensity models, uplift models, and other methodologies. This individual will be responsible for developing scalable analytical solutions to provide data-driven and optimization insights to IBM Marketing and digital business. He/she should have vast experience in statistical and data mining algorithms and demonstrated ability to innovate and customize when necessary. He//she will be passionate about learning and deploying leading technologies in the analytics space specific to the business needs to drive results and identify opportunities. As a Marketing Data Scientist, he/she will drive business impact by solving unique problems through advanced analytics, continuous improvement methodologies, and change management in a fast-paced environment.

The Marketing Data Scientist is located in IBM offices in New York City or Armonk, NY.

Must have the ability to work in the US without current/future need for IBM sponsorship.

Do work that matters.

Discover your true potential.

Be yourself.


Required Technical and Professional Expertise

  • Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or closely related disciplines.

  • 5+ years of experience with advanced analytics techniques (e.g., decision tree, logistic regression, hierarchical regression, neural network, random forest, etc.)

  • 5+ years expert level SPSS, SAS, R, or Python analytics experience with a proven track record in advanced analytics as well as hands-on experience with digital and CRM data (structured and unstructured)

  • 4+ years of experience in analytics consulting

  • Proven ability to understand, cleanse, and integrate massive disparate data sets and demonstrated familiarity with data modeling workflow

  • Recognized for analytical rigor and ability to identify actionable insights from ambiguous and sometimes limited information

  • Strong communication; ability to effectively connect/translate complex analytics findings to business insights and recommendations

Preferred Tech and Prof Experience

  • Ph.D. preferred

  • Familiarity with developing and industrializing scalable analytical solutions

  • 1+ years of experience with programmatic marketing

  • 1+ years of experience with latest content marketing/SEO strategy trends

  • Ability to gain consensus

  • Ability to lead change and transformation

  • Passionate about data science and self-motivated to stay abreast of advances in data science techniques

  • Desire to work in a team based dynamic and fast-paced business culture

  • Business Acumen

EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.