Data Scientist 3

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 its constituents together. We are on a mission to support our customers with 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 power an unmatched Subscriber Network that use 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.

Position Overview

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.

Responsibilities

• Design, develop, and implement machine learning and deep learning models for various applications, such as customer churn prediction, recommendation systems, anomaly detection, and natural language processing.
• 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.

Qualifications - Must 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).
• Strong understanding of machine learning and deep learning algorithms and techniques.
• Experience with generative AI models, such as text generation, image generation, or other creative applications.
• 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 requirement above but are excited to learn more, we encourage you to apply. We might just be able to find another role that could be a perfect fit!

Security and Privacy Requirements

• Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program.
• Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies.

The Team

• We are a remote-first company with a globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand.

The Culture

• At Granicus, we are building a transparent, inclusive, and safe space for everyone who wants to be
  a part of our journey.
• A few culture highlights include – Employee Resource Groups to encourage diverse voices
• Coffee with Mark sessions – Our employees get to interact with our CEO on very important and
  sometimes difficult issues ranging from mental health to work-life balance and current affairs.
• Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more.
• We bring in special guests from time to time to discuss issues that impact our employee
  population
  
  

The Impact

• We are proud to serve dynamic organizations around the globe that use our digital solutions to make the world a better place — quite literally. We have so many powerful success stories that illustrate how our solutions are impacting the world. See more of our impact here.