Data Scientist Iii

**The Company**

**Serving the People Who Serve the People**
- Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and their constituents together. We are on a mission to support our customers by meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn.
- Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers powering an unmatched Subscriber Network that uses our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serve—driving meaningful change for communities around the globe.
- Want to know more? See more of what we do here.

We are seeking an experienced Data Scientist III to join our team. As a Data Scientist III, you will be responsible for the full data science lifecycle, from data acquisition and wrangling to model building, deployment, and monitoring. You will focus on utilizing advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to solve complex problems and develop impactful solutions for our customers. This role requires a strong blend of technical expertise, analytical thinking, and problem-solving skills. You will work collaboratively with cross-functional teams, including engineers, product managers, and data analysts, to ensure data-driven decision making across the organization.

**What your impact will look like here**:

- Leverage Python programming and its relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and iterate on models.
- Explore and experiment with cutting-edge techniques in generative AI to create innovative solutions for government and citizen engagement.
- Collaborate with product managers, engineers, and stakeholders to understand business requirements and translate them into data-driven solutions.
- Collaborate with software and data engineers to ensure seamless integration of models into Granicus products and platforms.
- Perform data analysis, cleansing, and feature engineering to prepare high-quality data for model training.
- Develop and maintain robust pipelines for data ingestion, transformation, and model training.
- Continuously monitor and evaluate model performance, identify areas for improvement, and iterate on models.
- Communicate complex technical concepts to stakeholders in a clear and concise manner.
- Contribute to the development of best practices, tools, and frameworks for data science and machine learning initiatives.
- Stay up to date on the latest advancements in data science and AI research.

**You will love this job if you have**:

- Bachelor’s or Master’s degree in computer science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, machine learning, or a relevant field.
- Proficiency in Python programming and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven delivery record of production ready AI/ML solutions.
- Strong understanding of machine learning and deep learning algorithms and techniques.
- Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib).
- Experience with cloud platforms and big data technologies (e.g., AWS)
- Excellent problem-solving, critical thinking, and analytical skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.

**Qualifications - Good to Have**:

- Knowledge of graph neural networks, reinforcement learning, or other advanced machine learning techniques.
- Familiarity with agile software development methodologies and DevOps practices.
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Contributions to open-source projects or published research in machine learning, deep learning, or generative AI.
- Experience with generative AI models (GANs, VAEs, etc.)
- Experience working with government or public sector data
- Experience with data visualization tools (Tableau, Power BI)
- Don’t have all the skills/experience mentioned above? At Granicus, we are trying to build diverse, inclusive teams. We do not have degree requirements for most of our roles. If you don’t meet every re