Data Scientist / Applied AI Scientist

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. 

About Us

We are a San Francisco based company founded in 2003. Our mission is simple: we help people.  We have democratized professional services by connecting customers with verified and vetted Experts who provide reliable answers at any hour and on any budget. JustAnswer members enjoy round-the-clock access to 12,000+ doctors, lawyers, tech support, mechanics, vets, home repair pros, and more. In the last 20 years, we have helped 10 million customers in 196 countries by answering more than 16 million questions. Our investors are Charles Schwab, Crosslink Capital, and Glynn Capital Management. 

Why Join the Team

With 1,000+ employees, we are growing at an amazing pace. Our hiring criteria: Smart. Fun. Get things done. We love what we do and celebrate our success together, best of all, you get to work at a hot company that’s (drum roll, please) profitable! 

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!

Work Environment

JustAnswer, India has adopted a remote-first/hybrid work environment in most locations. Some teams occasionally have the option to meet in person for teaming, collaboration, or social events. With employee well-being as a top priority, where legally permissible, employees must be fully vaccinated against Covid-19 to attend these optional in-person events.

Our Commitment to Diversity

At JustAnswer, we embrace workplace diversity. We believe diversity drives richer insights, fuels innovation, and creates better outcomes. We are committed to attracting and developing an engaged and inclusive workforce. Team members from diverse backgrounds and unique perspectives are crucial to the JustAnswer mission of helping all people. Individuals seeking career opportunities at JustAnswer are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity, or any other protected status under all applicable laws, regulations, and ordinances.

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