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B2B Data Science Jobs (NOW HIRING)

B2B Sales Representative

Kuna, ID · On-site

$70K - $90K/yr

B2B Sales Representative Do you thrive on new experiences, enjoy building strong relationships, and value both freedom and responsibility. At Devine Business Group, we are seeking a motivated and ...

B2B Sales Representative

Lacey, WA · On-site

$70K - $90K/yr

B2B Sales Representative Do you thrive on new experiences, enjoy building strong relationships, and value both freedom and responsibility. At Devine Business Group, we are seeking a motivated and ...

B2B Sales Representative

Redmond, OR · On-site

$70K - $90K/yr

B2B Sales Representative Do you thrive on new experiences, enjoy building strong relationships, and value both freedom and responsibility. At Devine Business Group, we are seeking a motivated and ...

B2B Sales Representative

Phoenix, AZ · On-site

$70K - $90K/yr

B2B Sales Representative Do you thrive on new experiences, enjoy building strong relationships, and value both freedom and responsibility. At Devine Business Group, we are seeking a motivated and ...

B2B Sales

Chicago, IL · Hybrid

$750/wk

We are an outsourced, Business to Business, Face to Face, Direct Sales and Social Media Management Company. We compete against the Hootsuites and Tweetdecks of the world. What's special about the ...

We are seeking a Business Data Analyst to support a major system and data platform modernization ... Required Qualifications: • Bachelor's degree preferably in Actuarial Science, Data Science ...

... B products serving agents, brokerages, and partners. We build scalable data products, infrastructure, and insights spanning data science, data engineering, platforms, and product analytics ...

Due to nature of the job, we can consider only US citizen and Green Card * Experience: Should have ... Business and data analysis for strategic projects and enhancements across financial products and ...

This opportunity will require the qualified candidate to consistently prospect potential B2B clients and close new business. Qualifications We would like to hear from people who have: * Proven sales ...

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Showing results 1-20

B2B Data Science information

What is B2B data science?

B2B Data Science refers to the use of data analysis, machine learning, and statistical methods to solve business challenges and optimize operations in business-to-business (B2B) companies. This field focuses on leveraging large datasets to improve sales forecasting, customer segmentation, pricing strategies, and marketing effectiveness between businesses. Professionals in B2B Data Science often work with CRM data, transaction records, and market trends to generate actionable insights for business growth. Their work enables companies to make data-driven decisions, improve client relationships, and gain a competitive edge in their industry.

What are some typical challenges B2B data scientists face when working with business clients?

B2B Data Scientists often encounter challenges related to integrating data from multiple business systems, ensuring data privacy and security, and translating complex analyses into actionable insights for clients. Additionally, aligning technical solutions with unique business goals and managing expectations across non-technical stakeholders can be demanding. Close collaboration with sales, product, and customer success teams is essential for ensuring that data-driven solutions are both technically robust and practically valuable for clients.

What are the key skills and qualifications needed to thrive as a B2B data scientist, and why are they important?

To thrive as a B2B Data Scientist, you need a strong background in statistics, data analysis, and programming (often with Python or R), supported by a relevant degree in data science, mathematics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), machine learning libraries, and cloud platforms (such as AWS or Azure) is typically required, along with knowledge of CRM and ERP systems. Strong business acumen, problem-solving abilities, and effective communication skills help you translate complex data insights to non-technical stakeholders. These skills are crucial for delivering actionable intelligence that drives business decisions and growth in B2B environments.
Infographic showing various B2B Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Manager, Data Science B2B Marketing Analytics

Dow Jones

New York, NY • Hybrid

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago


Dow Jones rating

8.7

Company rating: 8.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

3rd of 19 rated publishing


Job description

Job Description:

About the Team

Leads the evolution of Dow Jones' B2B data science and analytics capabilities in support of our B2B business function.

About the Role

Reporting to the Vice President of B2B Marketing Data Science, the Senior Manager of B2B Marketing Analytics is responsible for driving data-driven strategies that optimize opportunity generation, accelerate revenue growth, improve acquisition , and enhance retention performance.

The Senior Manager will design and implement advanced analytics frameworks, robust revenue measurement methodologies that inform capital allocation across demand generation, account-based marketing (ABM), pricing, and customer lifecycle initiatives.

Three days a week (typically Monday, Tuesday, and Thursday) in our Midtown Manhattan office is required.

You Will:
  • Strategic Leadership: Develop and execute analytics projects driving key insights that drive pipeline growth and revenue

  • Build Capabilities and Drive Insights: Support development of propensity models, attribution models, market mix models and customer segmentation models to drive insights that facilitate business planning, forecasting and optimization

  • Executive Reporting and Opportunity Analysis: Develop executive level reports in BI tools (Looker , Tableau) to develop E2E customer journey insights and identify opportunity areas to drive future growth

  • Data Story Telling: Articulate clear, actionable insights derived from model results and effectively communicate complex technical concepts to a non-technical audience

  • Data Infrastructure and Technology: Collaborate with data engineering teams to establish and maintain robust data infrastructure, ensuring data quality, accessibility, and security. Evaluate and implement appropriate data science tools, platforms, and technologies to streamline processes and enhance data-driven marketing

  • Stakeholder Collaboration: Engage proactively with cross-functional teams, including marketing, sales, product development, and finance, to comprehend their specific business requirements and translate them into effective, data-driven solutions

You Have:
  • 9+ years of experience in marketing analytics and/or data science

  • Degree in a quantitative field such as Data Science, Statistics, Mathematics, or related disciplines; or equivalent experience

  • Experience supporting B2B or enterprise go-to-market models, ideally within media, information services, SaaS, or subscription-based businesses

  • Strong expertise in advanced analytics, predictive modeling, forecasting, and funnel analysis

  • Understanding of B2B marketing and sales funnels, account-based marketing (ABM), CRM systems, and pipeline management

  • Proficiency in BI tools, Python, R, SQL, and experience working with large-scale, cloud-based data environments

  • Strong commercial acumen and ability to communicate complex analytics to non-technical, executive stakeholders

  • Proven ability to influence strategic decisions through data-driven insights

  • Familiarity with marketing automation platforms, CRM platforms (e.g Salesforce), and digital analytics tools is a plus

#LI-HYBRID

Our Benefits
  • Comprehensive Healthcare Plans

  • Paid Time Off

  • Retirement Plans

  • Comprehensive Insurance Plans

  • Lifestyle programs & Wellness Resources

  • Education Benefits

  • Family Care Benefits & Caregiving Support

  • Commuter Transit Program

  • Subscription Discounts

  • Employee Referral Program

Learn more about all our US benefits...

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.

Business Area:

Dow Jones - Marketing

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union roleBase Pay Range: 140,000.00 - 160,000.00

We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors.

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.


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