Senior Data Scientist

### Who you are
- Bachelor's degree required; advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Econometrics, Computer Science, or related field strongly preferred
- 5+ years of professional experience as a Data Scientist, preferably in a software or SaaS environment
- Strong programming skills in Python and SQL, including familiarity with advanced analytics libraries and frameworks
- Experience working within both traditional SDLC and agile development environments
- Expertise in a wide array of statistical methods, econometrics, machine learning algorithms, artificial intelligence, and predictive analytics
- Proven experience developing scalable analytic data strategies and robust analytic products
- Proficiency with visualization tools such as Tableau and experience in business analytics platforms like Alteryx
- Familiarity with data pipelines, ETL processes, cloud databases, data warehouses (e.g., Snowflake), and data lakes
- Experience deploying analytics solutions in cloud environments (GCP, AWS & Azure)
- Strong communication skills, with the ability to clearly articulate complex analytic concepts and results to business stakeholders
- Excellent problem-solving and interpersonal skills, capable of independently managing multiple projects in a dynamic environment
- If you meet some of the requirements and you share our values, we encourage you to apply

### What the job involves
- You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible
- Responsible for designing, developing, and deploying intelligent agents using LangChain and LangGraph frameworks to optimize conversational AI workflows
- Build, deploy, and optimize data models focused on generative AI and large language models
- Create and refine methods to measure AI model performance and impact
- Collaborate with product and engineering teams to integrate AI solutions (e.g., Gemini, OpenAI, Azure AI)
- Stay current on advances in data science, machine learning, and generative AI
- Mentor junior data scientists and engineers
- Communicate clearly with stakeholders, presenting insights and recommendations
- Apply statistical, econometric, and machine learning methods to generate actionable insights and support decision-making
- Identify, integrate, and leverage key data sources to enhance analytics
- Develop scalable data structures and analytic products
- Lead end-to-end analytics projects including data gathering, feature creation, modeling, deployment, and monitoring
- Provide insights to encourage data-driven decision-making throughout the organization
- Mentor teams on data science best practices and contribute thought leadership through blogs or articles
- Develop and deliver training on analytics tools and data science techniques (e.g., Alteryx, Tableau)
- Explore and apply new data science tools and methodologies to maintain innovation