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 Demandbase is seeking a Data Scientist to join our Central Data Science team, where you'll contribute to impactful machine learning projects that shape the B2B buyer journey. This role is ideal for someone with solid experience in data analysis and foundational machine learning, ready to apply their skills in a high-growth environment. You will work on a range of projects, from account ranking to ad optimization, developing data-driven models that deliver actionable insights and improve business performance. In this role, you'll collaborate with experienced data scientists, product managers, and engineers, offering opportunities to develop your machine learning skills and gain experience deploying models in production. A background in data science, with analytical proficiency and interest in practical ML applications, is ideal. The base compensation range for this position, not including the company bonus, is: $128,000 - $174,000
What you'll be doing:
Data Exploration and Preparation : Analyze and preprocess large datasets to support machine learning models, identifying key insights to guide data-driven decision-making.
Feature Engineering and Model Building : Develop and refine features, assist with model selection, and build foundational machine learning models to optimize business outcomes.
Model Performance and Validation : Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.
Cross-functional Collaboration : Work with data engineering, product, and UX teams to integrate models into workflows, ensuring solutions align with business needs.
Communication of Findings : Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.
Project Examples Account Prioritization : Support projects to rank accounts based on their journey stage, helping drive targeted sales and marketing efforts.
Intent Signal Analysis : Contribute to identifying intent signals from behavioral data to improve targeting and personalization.
Campaign Optimization : Assist in optimizing ad campaigns by analyzing engagement metrics and supporting model improvements for ad targeting and click-through rate predictions.
What We're Looking For:
Experience : 2-3 years of experience in data science or analytics, with hands-on experience in data processing, exploratory analysis, and some exposure to machine learning.
Education : Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Technical Skills :
Proficiency in Python and data analysis libraries (Pandas, Numpy)
Strong SQL skills for data extraction and manipulation
Experience with machine learning libraries (e.g., Scikit-Learn) and model evaluation techniques
Data visualization skills (e.g., Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn)
Familiarity with Machine Learning Concepts : Experience in building and validating models, with an interest in developing more advanced skills.
Nice to Have Experience with Cloud Platforms : Familiarity with Google Cloud Platform or AWS is a plus.
Scala Experience : Knowledge of Scala is beneficial, or a willingness to learn it for data processing and pipeline optimization.
Personal Attributes :
Analytical thinker with a detail-oriented approach to problem-solving
Effective communicator, able to explain complex findings to diverse audiences
Self-motivated with a strong interest in continuous learning and improvement
Eager to take ownership of projects and contribute meaningful insights Benefits: BenefitsWe offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025-including a three-day break around July 4th and a full week off for Thanksgiving-and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind. 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. Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

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. Its flexible, scalable ABM built for you.As a company, were as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, 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 living out our mission to transform how B2B goes 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:We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. In this role, you will be responsible for turning raw data into valuable insights that will help guide our strategic decisions. Your main tasks will include data mining, machine learning, and statistical analysis. You will work closely with our product and engineering teams to recommend and implement ways to improve our products, services, and data collection processes.What youll be doing:Collecting and analyzing large sets of structured and unstructured data.Designing and implementing advanced predictive models and analytics solutions.Collaborating with engineering and product teams to implement analytics solutions.Staying up-to-date with the latest technology trends in data science and LLMs.Participating in the design and development of APIs and utilizing AWS services for data science projects.Applying NLP, LLM (good to have), and prompt engineering skills in various data science projects.Ensuring clean, maintainable, and efficient code practices.Developing and testing APIs for functionality, reliability, performance, and security.What were looking for:Proven experience as a Data Scientist or in a similar role.Strong knowledge of Python programming (mandatory), data structures, and algorithms.Experience with API development and familiarity with AWS services.Proficiency in Natural Language Processing (NLP), Large Language Models (LLM), and prompt engineering.Excellent communication and teamwork skills, with a strong commitment to continuous learning and ethical behavior.Experience in structured coding practices and a knack for writing clean, maintainable code.Our Commitment to Diversity, Equity, and Inclusion at DemandbaseAt 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 require 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.#J-18808-Ljbffr

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’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “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 living out our mission to transform how B2B goes 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:
We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. In this role, you will be responsible for turning raw data into valuable insights that will help guide our strategic decisions. Your main tasks will include data mining, machine learning, and statistical analysis. You will work closely with our product and engineering teams to recommend and implement ways to improve our products, services, and data collection processes.
What you’ll be doing:
Collecting and analyzing large sets of structured and unstructured data.
Designing and implementing advanced predictive models and analytics solutions.
Collaborating with engineering and product teams to implement analytics solutions.
Staying up-to-date with the latest technology trends in data science and LLMs.
Participating in the design and development of APIs and utilizing AWS services for data science projects.
Applying NLP, LLM (good to have), and prompt engineering skills in various data science projects.
Ensuring clean, maintainable, and efficient code practices.
Developing and testing APIs for functionality, reliability, performance, and security.
What we’re looking for:
Proven experience as a Data Scientist or in a similar role.
Strong knowledge of Python programming (mandatory), data structures, and algorithms.
Experience with API development and familiarity with AWS services.
Proficiency in Natural Language Processing (NLP), Large Language Models (LLM), and prompt engineering.
Excellent communication and teamwork skills, with a strong commitment to continuous learning and ethical behavior.
Experience in structured coding practices and a knack for writing clean, maintainable code.
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 require 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.

#J-18808-Ljbffr

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 RoleDemandbase is seeking a Data Scientist to join our Central Data Science team, where you’ll contribute to impactful machine learning projects that shape the B2B buyer journey. This role is ideal for someone with solid experience in data analysis and foundational machine learning, ready to apply their skills in a high-growth environment. You will work on a range of projects, from account ranking to ad optimization, developing data-driven models that deliver actionable insights and improve business performance.In this role, you’ll collaborate with experienced data scientists, product managers, and engineers, offering opportunities to develop your machine learning skills and gain experience deploying models in production. A background in data science, with analytical proficiency and interest in practical ML applications, is ideal.The base compensation range for this position, not including the company bonus, is: $128,000 - $174,000What you'll be doing:<ol><li>Data Exploration and Preparation: Analyze and preprocess large datasets to support machine learning models, identifying key insights to guide data-driven decision-making.</li><li>Feature Engineering and Model Building: Develop and refine features, assist with model selection, and build foundational machine learning models to optimize business outcomes.</li><li>Model Performance and Validation: Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.</li><li>Cross-functional Collaboration: Work with data engineering, product, and UX teams to integrate models into workflows, ensuring solutions align with business needs.</li><li>Communication of Findings: Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.</li></ol>Project Examples<ol><li>Account Prioritization: Support projects to rank accounts based on their journey stage, helping drive targeted sales and marketing efforts.</li><li>Intent Signal Analysis: Contribute to identifying intent signals from behavioral data to improve targeting and personalization.</li><li>Campaign Optimization: Assist in optimizing ad campaigns by analyzing engagement metrics and supporting model improvements for ad targeting and click-through rate predictions.</li></ol>What We’re Looking For:<ol><li>Experience: 2–3 years of experience in data science or analytics, with hands-on experience in data processing, exploratory analysis, and some exposure to machine learning.</li><li>Education: Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.</li><li>Technical Skills:</li><ol><li>Proficiency in Python and data analysis libraries (Pandas, Numpy)</li><li>Strong SQL skills for data extraction and manipulation</li><li>Experience with machine learning libraries (e.g., Scikit-Learn) and model evaluation techniques</li><li>Data visualization skills (e.g., Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn)</li></ol><li>Familiarity with Machine Learning Concepts: Experience in building and validating models, with an interest in developing more advanced skills.</li></ol>Nice to Have<ol><li>Experience with Cloud Platforms: Familiarity with Google Cloud Platform or AWS is a plus.</li><li>Scala Experience: Knowledge of Scala is beneficial, or a willingness to learn it for data processing and pipeline optimization.</li><li>Personal Attributes:</li><ol><li>Analytical thinker with a detail-oriented approach to problem-solving</li><li>Effective communicator, able to explain complex findings to diverse audiences</li><li>Self-motivated with a strong interest in continuous learning and improvement</li><li>Eager to take ownership of projects and contribute meaningful insights</li></ol></ol>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.Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our <a href="#">Privacy Policy</a> explains how we collect and use personal information.
#J-18808-Ljbffr

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 Demandbase is seeking a Data Scientist to join our Central Data Science team, where you'll contribute to impactful machine learning projects that shape the B2B buyer journey. This role is ideal for someone with solid experience in data analysis and foundational machine learning, ready to apply their skills in a high-growth environment. You will work on a range of projects, from account ranking to ad optimization, developing data-driven models that deliver actionable insights and improve business performance. In this role, you'll collaborate with experienced data scientists, product managers, and engineers, offering opportunities to develop your machine learning skills and gain experience deploying models in production. A background in data science, with analytical proficiency and interest in practical ML applications, is ideal. The base compensation range for this position, not including the company bonus, is: $128,000 - $174,000
What you'll be doing:
Data Exploration and Preparation : Analyze and preprocess large datasets to support machine learning models, identifying key insights to guide data-driven decision-making.
Feature Engineering and Model Building : Develop and refine features, assist with model selection, and build foundational machine learning models to optimize business outcomes.
Model Performance and Validation : Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.
Cross-functional Collaboration : Work with data engineering, product, and UX teams to integrate models into workflows, ensuring solutions align with business needs.
Communication of Findings : Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.
Project Examples Account Prioritization : Support projects to rank accounts based on their journey stage, helping drive targeted sales and marketing efforts.
Intent Signal Analysis : Contribute to identifying intent signals from behavioral data to improve targeting and personalization.
Campaign Optimization : Assist in optimizing ad campaigns by analyzing engagement metrics and supporting model improvements for ad targeting and click-through rate predictions.
What We're Looking For:
Experience : 2-3 years of experience in data science or analytics, with hands-on experience in data processing, exploratory analysis, and some exposure to machine learning.
Education : Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Technical Skills :
Proficiency in Python and data analysis libraries (Pandas, Numpy)
Strong SQL skills for data extraction and manipulation
Experience with machine learning libraries (e.g., Scikit-Learn) and model evaluation techniques
Data visualization skills (e.g., Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn)
Familiarity with Machine Learning Concepts : Experience in building and validating models, with an interest in developing more advanced skills.
Nice to Have Experience with Cloud Platforms : Familiarity with Google Cloud Platform or AWS is a plus.
Scala Experience : Knowledge of Scala is beneficial, or a willingness to learn it for data processing and pipeline optimization.
Personal Attributes :
Analytical thinker with a detail-oriented approach to problem-solving
Effective communicator, able to explain complex findings to diverse audiences
Self-motivated with a strong interest in continuous learning and improvement
Eager to take ownership of projects and contribute meaningful insights 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. Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

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
Demandbase is seeking a  Data Scientist  to join our Central Data Science team, where you’ll contribute to impactful machine learning projects that shape the B2B buyer journey. This role is ideal for someone with solid experience in data analysis and foundational machine learning, ready to apply their skills in a high-growth environment. You will work on a range of projects, from account ranking to ad optimization, developing data-driven models that deliver actionable insights and improve business performance.
In this role, you’ll collaborate with experienced data scientists, product managers, and engineers, offering opportunities to develop your machine learning skills and gain experience deploying models in production. A background in data science, with analytical proficiency and interest in practical ML applications, is ideal.
The base compensation range for this position, not including the company bonus, is: $128,000 - $174,000
What you'll be doing:
Data Exploration and Preparation : Analyze and preprocess large datasets to support machine learning models, identifying key insights to guide data-driven decision-making.
Feature Engineering and Model Building : Develop and refine features, assist with model selection, and build foundational machine learning models to optimize business outcomes.
Model Performance and Validation : Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.
Cross-functional Collaboration : Work with data engineering, product, and UX teams to integrate models into workflows, ensuring solutions align with business needs.
Communication of Findings : Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.
Project Examples
Account Prioritization : Support projects to rank accounts based on their journey stage, helping drive targeted sales and marketing efforts.
Intent Signal Analysis : Contribute to identifying intent signals from behavioral data to improve targeting and personalization.
Campaign Optimization : Assist in optimizing ad campaigns by analyzing engagement metrics and supporting model improvements for ad targeting and click-through rate predictions.
What We’re Looking For:
Experience : 2–3 years of experience in data science or analytics, with hands-on experience in data processing, exploratory analysis, and some exposure to machine learning.
Education : Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Technical Skills :
Proficiency in Python and data analysis libraries (Pandas, Numpy)
Strong SQL skills for data extraction and manipulation
Experience with machine learning libraries (e.g., Scikit-Learn) and model evaluation techniques
Data visualization skills (e.g., Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn)
Familiarity with Machine Learning Concepts : Experience in building and validating models, with an interest in developing more advanced skills.
Nice to Have
Experience with Cloud Platforms : Familiarity with Google Cloud Platform or AWS is a plus.
Scala Experience : Knowledge of Scala is beneficial, or a willingness to learn it for data processing and pipeline optimization.
Personal Attributes :
Analytical thinker with a detail-oriented approach to problem-solving
Effective communicator, able to explain complex findings to diverse audiences
Self-motivated with a strong interest in continuous learning and improvement
Eager to take ownership of projects and contribute meaningful insights
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.
Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our  Privacy Policy  explains how we collect and use personal information.

#J-18808-Ljbffr

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 RoleDemandbase is seeking a Data Scientist to join our Central Data Science team, where you'll contribute to impactful machine learning projects that shape the B2B buyer journey. This role is ideal for someone with solid experience in data analysis and foundational machine learning, ready to apply their skills in a high-growth environment. You will work on a range of projects, from account ranking to ad optimization, developing data-driven models that deliver actionable insights and improve business performance. In this role, you'll collaborate with experienced data scientists, product managers, and engineers, offering opportunities to develop your machine learning skills and gain experience deploying models in production. A background in data science, with analytical proficiency and interest in practical ML applications, is ideal. The base compensation range for this position, not including the company bonus, is: $128,000 - $174,000 What you'll be doing: <ul> <li>Data Exploration and Preparation: Analyze and preprocess large datasets to support machine learning models, identifying key insights to guide data-driven decision-making. </li><li>Feature Engineering and Model Building: Develop and refine features, assist with model selection, and build foundational machine learning models to optimize business outcomes. </li><li>Model Performance and Validation: Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments. </li><li>Cross-functional Collaboration: Work with data engineering, product, and UX teams to integrate models into workflows, ensuring solutions align with business needs. </li><li>Communication of Findings: Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively. </li></ul>Project Examples <ul> <li>Account Prioritization: Support projects to rank accounts based on their journey stage, helping drive targeted sales and marketing efforts. </li><li>Intent Signal Analysis: Contribute to identifying intent signals from behavioral data to improve targeting and personalization. </li><li>Campaign Optimization: Assist in optimizing ad campaigns by analyzing engagement metrics and supporting model improvements for ad targeting and click-through rate predictions. </li></ul>What We're Looking For: <ul> <li>Experience: 2-3 years of experience in data science or analytics, with hands-on experience in data processing, exploratory analysis, and some exposure to machine learning. </li><li>Education: Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. </li><li>Technical Skills: </li><ul> <li>Proficiency in Python and data analysis libraries (Pandas, Numpy) </li><li>Strong SQL skills for data extraction and manipulation </li><li>Experience with machine learning libraries (e.g., Scikit-Learn) and model evaluation techniques </li><li>Data visualization skills (e.g., Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn) </li></ul> <li>Familiarity with Machine Learning Concepts: Experience in building and validating models, with an interest in developing more advanced skills. </li></ul>Nice to Have <ul> <li>Experience with Cloud Platforms: Familiarity with Google Cloud Platform or AWS is a plus. </li><li>Scala Experience: Knowledge of Scala is beneficial, or a willingness to learn it for data processing and pipeline optimization. </li><li>Personal Attributes: </li><ul> <li>Analytical thinker with a detail-oriented approach to problem-solving </li><li>Effective communicator, able to explain complex findings to diverse audiences </li><li>Self-motivated with a strong interest in continuous learning and improvement </li><li>Eager to take ownership of projects and contribute meaningful insights </li></ul> </ul> 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. Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

Introduction to Demandbase:

Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The result? You spot opportunities earlier, engage with them more intelligently, and close deals faster.

As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and teams in the UK and India, and allow employees to work remotely.  We have also been   continuously recognized as one of the best places to work in the San Francisco Bay Area.

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 living out our mission to transform how B2B goes 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 Demandbase is seeking a  Machine Learning Engineer  to join our Central Data Science team, where you’ll play a key role in building and deploying scalable machine learning solutions that transform the B2B buyer’s journey. You’ll work at the intersection of data science and engineering, developing and operationalizing machine learning models that enhance product offerings across account ranking, intent detection, and ad optimization.

As a Machine Learning Engineer, you will collaborate closely with data scientists, product managers, and engineers to productize ML algorithms, optimize model performance, and ensure smooth deployment at scale. A strong proficiency in Scala is preferred, as many of our systems are built with Scala to support high-volume data processing.

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

What you'll be doing:

Model Deployment and Optimization : Develop and deploy machine learning models that drive real-time business insights and impact campaign KPIs.

Pipeline Development : Build robust data pipelines to support ML model training, testing, and deployment at scale, leveraging Python and Scala as core technologies.

Cross-functional Engineering Collaboration : Work closely with data engineering, product management, and UX design teams to ensure models integrate seamlessly into our platform.

Performance Monitoring and Tuning : Implement monitoring systems to evaluate model performance in production and develop strategies to optimize and retrain models as needed.

Drive ML Innovation : Stay updated on industry advancements and integrate new techniques to maintain cutting-edge capabilities.

Project Highlights

Account Intelligence : Design systems to map billions of IPs and cookies to companies for improved account ranking and personalization.

Real-Time Intent Signals : Engineer models to trigger alerts based on real-time intent signals, enabling sales teams to act on high-value leads.

Ad Optimization : Optimize ad performance with real-time bidding, click-through rate, and engagement models using reinforcement learning algorithms.

What we're looking for:

Experience : 5+ years in machine learning engineering or a related field, with hands-on experience in deploying production-level models.

Education : Degree in Computer Science, Machine Learning, Engineering, or related fields (e.g., Mathematics, Statistics, Physics).

ML Engineering Proficiency : Demonstrated expertise in deploying and optimizing machine learning models in one or more areas:

Ranking & Recommendation Systems

Ad Optimization, Real-Time Bidding

Reinforcement Learning

Experimentation (A/B Testing)

Technical Skills :

Proficient in Python and ML libraries (Scikit-Learn, Pandas, Numpy, etc.)

Experience with Scala (preferred) for data pipeline and production optimization

Familiarity with ML frameworks like TensorFlow, Keras, PyTorch, and SparkML

Strong SQL and No-SQL database skills

Cloud & Data Engineering Tools : Google Cloud Platform or AWS experience preferred, along with Spark and BQML.

Benefits:

Our benefits include options for up to 100% paid Medical and Vision premiums for employees, flexible PTO policy, no internal meeting Fridays, Modern Health mental wellness platform, and 11 paid holidays and 2 additional weeks where all Demandbase employees take off (the week of July 4th and the week of Thanksgiving). Plus 401(k), short-term/long-term disability, life insurance, and all those good things.

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 require 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.

Personal information that you submit will be used by Demandbase for recruiting and other business purposes. OurPrivacy Policy explains how we collect and use personal information.

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 RoleDemandbase is seeking a Data Scientist to join our Central Data Science team, where you'll contribute to impactful machine learning projects that shape the B2B buyer journey. This role is ideal for someone with solid experience in data analysis and foundational machine learning, ready to apply their skills in a high-growth environment. You will work on a range of projects, from account ranking to ad optimization, developing data-driven models that deliver actionable insights and improve business performance. In this role, you'll collaborate with experienced data scientists, product managers, and engineers, offering opportunities to develop your machine learning skills and gain experience deploying models in production. A background in data science, with analytical proficiency and interest in practical ML applications, is ideal. The base compensation range for this position, not including the company bonus, is: $128,000 - $174,000 What you'll be doing: <ul><li>Data Exploration and Preparation: Analyze and preprocess large datasets to support machine learning models, identifying key insights to guide data-driven decision-making.</li><li>Feature Engineering and Model Building: Develop and refine features, assist with model selection, and build foundational machine learning models to optimize business outcomes.</li><li>Model Performance and Validation: Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.</li><li>Cross-functional Collaboration: Work with data engineering, product, and UX teams to integrate models into workflows, ensuring solutions align with business needs.</li><li>Communication of Findings: Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.</li></ul> Project Examples <ul><li>Account Prioritization: Support projects to rank accounts based on their journey stage, helping drive targeted sales and marketing efforts.</li><li>Intent Signal Analysis: Contribute to identifying intent signals from behavioral data to improve targeting and personalization.</li><li>Campaign Optimization: Assist in optimizing ad campaigns by analyzing engagement metrics and supporting model improvements for ad targeting and click-through rate predictions.</li></ul>What We're Looking For: <ul><li>Experience: 2-3 years of experience in data science or analytics, with hands-on experience in data processing, exploratory analysis, and some exposure to machine learning.</li><li>Education: Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.</li><li>Technical Skills:</li><ul><li>Proficiency in Python and data analysis libraries (Pandas, Numpy)</li><li>Strong SQL skills for data extraction and manipulation</li><li>Experience with machine learning libraries (e.g., Scikit-Learn) and model evaluation techniques</li><li>Data visualization skills (e.g., Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn)</li></ul><li>Familiarity with Machine Learning Concepts: Experience in building and validating models, with an interest in developing more advanced skills.</li></ul> Nice to Have <ul><li>Experience with Cloud Platforms: Familiarity with Google Cloud Platform or AWS is a plus.</li><li>Scala Experience: Knowledge of Scala is beneficial, or a willingness to learn it for data processing and pipeline optimization.</li><li>Personal Attributes:</li><ul><li>Analytical thinker with a detail-oriented approach to problem-solving</li><li>Effective communicator, able to explain complex findings to diverse audiences</li><li>Self-motivated with a strong interest in continuous learning and improvement</li><li>Eager to take ownership of projects and contribute meaningful insights</li></ul></ul> 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. Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

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