Applied Scientist

Introduction to Demandbase:

Demandbase helps B2B companies hit their revenue goals using fewer resources. How? By using the power of AI to identify and engage the accounts and buying groups most likely to purchase. Our account-based technology unites sales and marketing teams around insights that you can understand and facilitates quick actions across systems and channels to deliver big wins. It’s flexible, scalable ABM built for you.

As a company, we prioritize both the advancement of careers and the development of world-class technology. We invest heavily in people, our culture, and the communities around us. We have offices strategically located in San Francisco and New York in the US, and Hyderabad, in India and we embrace a hybrid work model in these regions. Outside of these areas we offer a remote work option and boast a significant presence in Austin, TX, Atlanta, GA, and London, UK. Continuously lauded as a great place to work, we are Great Place to Work Certified, and have earned distinctions such as "Fortune's Best Workplaces in the Bay Area,"Best Workplaces in Technology," "Best Workplaces for Millennials," and "Best Workplaces for Parents"!

We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of achieving our mission to transform the way B2B companies go to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!

About the Role:

Join Demandbase’s Central Data Science team as an Applied Scientist, where you’ll use machine learning to enhance every stage of the B2B buyer journey. In this role, you will design, implement, and productize data-driven models to deliver insights, optimize ad targeting, and personalize experiences across our platform. This position combines practical ML/AI application with cross-functional collaboration to ensure models are both impactful and seamlessly integrated into our offerings.

As an Applied Data Scientist, you’ll work closely with product managers, engineers, and designers to build and refine ML models, with a preferred focus on Scala for supporting and optimizing data pipelines.

The base compensation range for this position is: $160,000-$218,000

What you’ll be doing:

• Model Development and Implementation: Develop and apply machine learning algorithms to optimize key performance indicators across the customer journey.
• Data Analysis and Feature Engineering: Extract actionable insights from large datasets and engineer features that enhance model accuracy and relevance.
• Cross-functional Collaboration: Partner with data engineering, product management, and UX teams to translate data-driven models into production-ready solutions.
• Model Productization: Work alongside engineers to operationalize ML models, ensuring performance consistency and effectiveness in production environments.
• Continuous Learning and Improvement: Stay current with ML research and adapt new methodologies to solve complex business problems.

Project Highlights:

• Account Intelligence & Scoring: Use ML to rank and prioritize accounts within the B2B buying journey.
• Real-Time Intent Detection: Develop models to capture intent signals that drive real-time sales and marketing actions.
• Ad Optimization and Personalization: Build models to predict engagement and optimize ad campaigns using data from tens of billions of daily auctions.

What We’re Looking For:

• Experience: 5+ years in data science or applied machine learning roles, with demonstrated experience in building and deploying models.
• Education: Degree in Statistics, Computer Science, Machine Learning, or a related field (e.g., Mathematics, Physics).

• ML Expertise: Proven experience applying ML to at least one area:

  • Ranking & Recommendation Systems
  • Ad Optimization, Real-Time Bidding Algorithms
  • Reinforcement Learning
  • A/B Testing and Experimentation

• Technical Skills:

  • Strong proficiency in Python and ML libraries (e.g., Scikit-Learn, Pandas, Numpy)
  • Familiarity with ML frameworks such as TensorFlow, Keras, PyTorch, and SparkML
  • Experience with Scala (preferred) to optimize data workflows and pipelines
  • Solid SQL and No-SQL skills

• Cloud & Data Tool Familiarity: Experience with Google Cloud Platform or AWS preferred, with BQML or Spark as a plus.

Nice to Have:

• Leadership Experience: Experience leading projects or mentoring within data science teams.
• Industry Experience: Prior work in Martech or Adtech environments is advantageous.

• Personal Attributes:

  • Self-motivated and capable of independent project management
  • Analytical mindset with a focus on creating impactful solutions
  • Passionate about metrics and data-driven decision-making
  • Committed to end-to-end ownership of machine learning products

Benefits:

Our benefits include options for up to 100% paid Medical and Vision premiums for employees, a flexible PTO policy, no internal meetings Fridays, as well as access to Modern Health and other mental wellness resources. Additionally, we offer eight paid holidays and two additional week-long breaks when all Demandbase employees in the US take time off simultaneously (the week of July 4th and the week of Thanksgiving). We also provide 401(k), short-term/long-term disability, life insurance, and other great benefits.

Our Commitment to Diversity, Equity, and Inclusion at Demandbase:

At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis.

We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply!

We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.

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