Head of Data Science
Company Description
SettleTop provides Software Intelligence Solutions that give visibility into the health and risk within an organization's software supply chain. The company's solutions provide risk insights and strategies into software elements from across an organization's software supply chain. SettleTop's Agentic AI tools help uncover anomalies in key software metrics and potential threat impact from known threat actors. The company focuses on the health, risk, and threats of software assets, providing best practices on software resilience.
Role Description
This is a contract hybrid role for a Head of Data Science at SettleTop located in Boston, MA area. The Head of Data Science will oversee the day-to-day data science operations, including statistical modeling, data analysis, and strategic decision-making. Some remote work is acceptable.
The Head of Data Science will lead and scale our data science function, driving innovation and data-driven decision-making across the organization. This role requires a strategic thinker with strong technical expertise and leadership capabilities to oversee data science initiatives, optimize AI/ML models, and enhance data-driven business strategies.
Key Responsibilities
• Develop and execute the company’s data science strategy to drive business value and innovation.
• Lead and mentor a high-performing team of data scientists, machine learning engineers, and analysts.
• Build and optimize predictive models, machine learning algorithms, and AI-driven solutions to improve business processes and customer experiences.
• Collaborate with engineering, product, and business teams to integrate data science solutions into core products and services.
• Ensure best practices in data governance, model interpretability, and ethical AI development.
• Develop scalable data science frameworks and infrastructure to support analytical capabilities.
• Stay abreast of industry trends, emerging technologies, and advancements in AI/ML to maintain a competitive edge.
• Drive experimentation, A/B testing, and advanced analytics to optimize decision-making.
• Communicate complex data insights and recommendations to non-technical stakeholders and executive leadership.
Qualifications and Experience
• Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 8+ years of experience in data science, with at least 3-5 years in a leadership or managerial role.
• Proven experience in developing and deploying machine learning models at scale.
• Strong programming skills in Python, R, or similar languages.
• Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, etc.).
• Expertise in statistical modeling, deep learning, NLP, and predictive analytics.
• Strong business acumen with the ability to translate data insights into actionable business strategies.
• Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications:
• Experience in a fast-paced startup or technology-driven environment.
• Familiarity with MLOps, model monitoring, and continuous integration pipelines.
• Knowledge of regulatory compliance and data privacy laws (GDPR, CMMC, CCPA, etc.).
What We Offer:
• Competitive salary and performance-based incentives.
• Comprehensive benefits package, including health, dental, and vision.
• Opportunity to work on cutting-edge AI and data science projects.
• A collaborative and innovative work environment.
• Professional development and continuous learning opportunities.
Company Description
SettleTop provides Software Intelligence Solutions that give visibility into the health and risk within an organization's software supply chain. The company's solutions provide risk insights and strategies into software elements from across an organization's software supply chain. SettleTop's Agentic AI tools help uncover anomalies in key software metrics and potential threat impact from known threat actors. The company focuses on the health, risk, and threats of software assets, providing best practices on software resilience.
Role Description
This is a contract hybrid role for a Head of Data Science at SettleTop located in Boston, MA area. The Head of Data Science will oversee the day-to-day data science operations, including statistical modeling, data analysis, and strategic decision-making. Some remote work is acceptable.
The Head of Data Science will lead and scale our data science function, driving innovation and data-driven decision-making across the organization. This role requires a strategic thinker with strong technical expertise and leadership capabilities to oversee data science initiatives, optimize AI/ML models, and enhance data-driven business strategies.
Key Responsibilities
• Develop and execute the company’s data science strategy to drive business value and innovation.
• Lead and mentor a high-performing team of data scientists, machine learning engineers, and analysts.
• Build and optimize predictive models, machine learning algorithms, and AI-driven solutions to improve business processes and customer experiences.
• Collaborate with engineering, product, and business teams to integrate data science solutions into core products and services.
• Ensure best practices in data governance, model interpretability, and ethical AI development.
• Develop scalable data science frameworks and infrastructure to support analytical capabilities.
• Stay abreast of industry trends, emerging technologies, and advancements in AI/ML to maintain a competitive edge.
• Drive experimentation, A/B testing, and advanced analytics to optimize decision-making.
• Communicate complex data insights and recommendations to non-technical stakeholders and executive leadership.
Qualifications and Experience
• Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 8+ years of experience in data science, with at least 3-5 years in a leadership or managerial role.
• Proven experience in developing and deploying machine learning models at scale.
• Strong programming skills in Python, R, or similar languages.
• Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, etc.).
• Expertise in statistical modeling, deep learning, NLP, and predictive analytics.
• Strong business acumen with the ability to translate data insights into actionable business strategies.
• Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications:
• Experience in a fast-paced startup or technology-driven environment.
• Familiarity with MLOps, model monitoring, and continuous integration pipelines.
• Knowledge of regulatory compliance and data privacy laws (GDPR, CMMC, CCPA, etc.).
What We Offer:
• Competitive salary and performance-based incentives.
• Comprehensive benefits package, including health, dental, and vision.
• Opportunity to work on cutting-edge AI and data science projects.
• A collaborative and innovative work environment.
• Professional development and continuous learning opportunities.
