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About Us
JustAnswer is the leading AI + Human professional services platform, on a mission to revolutionize how people access expert help. Since 2003, we’ve connected millions of customers across 196 countries with verified professionals in real time—anytime, anywhere. With a powerful combination of human expertise and cutting-edge AI, we’re transforming the future of professional services.
Rooted in boldness, humility, and innovation, we take a data-driven approach to solving complex problems and continuously improving through Lean principles.
About the Role
We are seeking a talented Data Scientist to join our AI and Data Science team. This role involves leveraging analytical expertise and machine learning skills to develop predictive models and innovative data-driven solutions. Your contributions will have a direct impact on critical areas such as pricing optimization, customer segmentation, and expert matching. If you are passionate about applying AI to solve real-world challenges and driving meaningful business outcomes,
What You’ll Do
- As an individual contributor, provide analytical thought leadership to drive strategy, suggest new analyses, statistical/ML frameworks, testing methods and infrastructure improvements to drive value for the business.
- Collaborate with stakeholders to define problem statements, develop new signals using JA data incl. conversational data, develop hypotheses and translate them into analytical solutions and actionable insights presented to wider audiences.
- Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), implement and track trends in business metrics that will help drive the business
- Own outcomes of deep dive analyses, by covering problem definition, metrics development and implementation, data extraction, visualization and presentation to the stakeholders
- Develop machine learning models to solve business problems related to customer segmentation, customer retention, conversation quality, and revenue optimization.
- Become a go to AI/ DS expert who directly and indirectly oversees the model development and advanced statistical work of other analysts.
- Test, validate, and optimize models to ensure performance and scalability.
What We’re Looking For
- Education: Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, Econometrics, or Statistics.
- Experience: 2-5 years in data science, machine learning, or product analytics roles focused on model development.
- Technical Skills:
- Proficiency in SQL and Python; experience with BigQuery preferred.
- Strong programming abilities, including familiarity with ML libraries such as TensorFlow, PyTorch, or Keras.
- Hands-on experience with statistical methods and machine learning techniques, including regression, classification, clustering, time series analysis, and frameworks like Naive Bayes, XGBoost, and neural networks.
- Basic knowledge of NLP, computer vision, or reinforcement learning.
- Analytical Expertise: Strong foundation in descriptive and inferential statistical analysis, as well as advanced experimental design.
Preferred Qualifications
- Experience in e-commerce, product, or retail analytics.
- Proficiency in NLP and text analytics techniques.
- Familiarity with large language models (LLMs) and prompting.
- Understanding of CI/CD pipelines for machine learning model deployment.
Core Competencies
- Strategic Thinking: Ability to frame business problems, define hypotheses, and translate them into analytical solutions.
- Technical Proficiency: Expertise in statistical analysis, machine learning, and programming tools.
- Collaboration: Strong interpersonal skills to work effectively with cross-functional teams and stakeholders.
- Communication: Ability to convey complex analytical insights clearly to technical and non-technical audiences.
- Innovation: A forward-thinking mindset to identify new opportunities for applying AI and data science techniques to business challenges.
- Ownership: Accountability for delivering high-quality, impactful solutions.
Why Join Our Team
At JustAnswer, we blend the best of AI and human expertise to make a real impact. Our mission-driven culture values bold ideas, continuous learning, and global collaboration. We offer a flexible, remote-first environment with equitable rewards, career growth opportunities, and a supportive community where your contributions truly matter. Join us and be part of something bigger, helping people, one answer at a time.
Our JustAnswer Promise
We strive together to make the world a better place, one answer at a time. JustAnswer's mission is to help people. We do this by connecting our members with verified Experts to help answer life's questions and solve problems. It’s not every day in your life that you get to be a part of a simple yet powerful mission. We pride ourselves in doing things the JA Way.
• Data driven: Data decides, not egos
• Courageous: We take risks and challenge the status quo
• Innovative: We're constantly learning, creating, and adapting
• Lean: We focus on customers, using lean testing to learn how to serve them best
• Humble: Past success is not a guarantee of future success
If these things matter to you, come join the team here at JustAnswer!
Our Commitment to an Inclusive Workplace
We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. JustAnswer is committed to an inclusive workplace. JustAnswer is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.
AI Disclosure & Informed Consent
Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.
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