Senior Data Scientist

About Responsive

Responsive (formerly RFPIO) is the global leader in strategic response management software, transforming how organizations share and exchange critical information. The AI-powered Responsive Platform is purpose-built to manage responses at scale, empowering companies across the world to accelerate growth, mitigate risk and improve employee experiences. Nearly 2,000 customers have standardized on Responsive to respond to RFPs, RFIs, DDQs, ESGs, security questionnaires, ad hoc information requests and more. Learn more at responsive.io.

About the Role

Responsive is currently in search of a dynamic Data Scientist equipped with analytical, statistical, and programming prowess to harness significant volumes of data and craft tailored solutions that precisely align with organizational needs.

Your primary responsibility will involve delving into extensive unstructured datasets to identify trends that can drive business growth and yield substantial revenues. This role demands exceptional analytical skills coupled with a solid foundation in analysis, mathematics, and statistics. Critical thinking and problem-solving abilities are paramount for interpreting data effectively. Moreover, familiarity with AI tools is essential to automate processes and engineer intelligent solutions that empower the organization to thrive in a competitive market landscape.

Your overarching objective will be to facilitate trend analysis, enabling informed decision-making across the business.

What You’ll Be Doing

• Conducting large-scale data gathering, cleansing, and organization from diverse sources.
• Developing and applying statistical models and algorithms for data analysis and predictive purposes.
• Employing data visualization techniques as needed to present findings and insights clearly to stakeholders.
• Sound understanding and good experience in Generative AI and LLM.
• Managing both structured and unstructured data during preprocessing stages.
• Delivering concise and compelling presentations of results.
• Proposing innovative approaches and techniques to address corporate challenges.
• Designing and deploying machine learning models for various applications, including fraud detection, consumer segmentation, and predictive maintenance.
• Staying updated on the latest advancements in data science and embracing new methodologies as required in your role.

What We’re Looking For

Education

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• A Master’s or Ph.D. in a quantitative discipline is preferred.

Experience

• 5+ years of industry experience in data science, advanced analytics, and machine learning.
• Proven experience working with Large Language Models (LLMs), Natural Language Processing (NLP), and semantic search solutions.
• Strong hands-on experience with data wrangling, feature engineering, and model development.
• Exposure to deploying models in cloud environments (AWS, GCP, Azure) is a plus, but not mandatory.

Knowledge, Ability & Skills

• Expertise in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and strong SQL skills; familiarity with Java, Scala, or C++ is a plus.
• Strong foundation in statistics, algebra, probability, and operations research techniques.
• Proficiency in data mining, ETL pipelines, and working with large datasets.
• Familiarity with data visualization tools such as Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).
• Strong business acumen with the ability to align technical solutions to strategic objectives.
• Excellent problem-solving, critical thinking, and communication skills.
• Ability to mentor team members and collaborate effectively across cross-functional teams.
• Passion for staying at the forefront of AI/ML innovation.

Why Join Us?

• Impact-Driven Work: Build innovative solutions that redefine strategic response management.
• Collaborative Environment: Work with a passionate team of technologists, designers, and product leaders.
• Career Growth: Be part of a company that values learning and professional development.
• Competitive Benefits: We offer comprehensive compensation and benefits to support our employees.
• Trusted by Industry Leaders: Be part of a product that is trusted by world-leading organizations.
• Cutting-Edge Technology: Work on AI-driven solutions, cloud-native architectures, and large-scale data processing.
• Diverse and Inclusive Workplace: Collaborate with a global team that values different perspectives and ideas.