Data Scientist

Reporting to the Senior Director, Engineering, the Data Scientist will be a senior individual contributor responsible for advancing the company's AI/ML strategy and delivering high-impact data-driven solutions. This role will design and implement state-of-the-art machine learning models, set technical standards, and collaborate with Engineering, Product, and customer teams to ensure AI products are scalable, secure, and responsible. As one of the most senior technical experts on the team, this person will own end-to-end model development while influencing broader data science practices across the organization.

Essential Duties/Responsibilities

• Research, prototype, and deliver advanced machine learning and deep learning models for real-world production applications.
• Own the full lifecycle of AI models: data acquisition, feature engineering, model design, evaluation, deployment, monitoring, and continuous improvement.
• Establish and enforce best practices for MLOps, model governance, and responsible AI, ensuring compliance with enterprise and regulatory standards.
• Partner with engineers to integrate models into production systems with an emphasis on performance, reliability, and explainability.
• Collaborate with Product teams to translate business requirements into AI/ML technical roadmaps and deliverables.
• Produce high-quality technical documentation, design artifacts, and knowledge transfer materials.
• Evaluate and introduce new methods, frameworks, and technologies that keep the company at the forefront of AI innovation.
• Represent the Data Science team in customer and executive discussions, articulating technical details clearly and persuasively.

Minimum Qualifications

• 3+ years of applied experience in data science, AI, or ML, with a strong record of delivering models into production.
• Expertise in one or more of: natural language processing, computer vision, multimodal AI, time-series analysis, or generative AI.
• Hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, or JAX
• Deep expertise in large language models (e.g., GPT, LLaMA, Claude, Falcon, Mistral, or custom transformer architectures).
• Proven experience infine-tuning, prompt engineering, evaluation, and deploymentof LLMs inproduction environments.
• Strong knowledge of cloud-based ML infrastructure (AWS, GCP, or Azure) and distributed data systems.
• Familiarity with data security, privacy, and compliance (CJIS, GDPR, SOC2, etc.).
• Proven ability to influence product and engineering teams through technical authority without direct management.
• Excellent communication and presentation skills, including the ability to explain complex AI concepts to non-technical stakeholders.
• Master's or PhD in Computer Science, Data Science, Statistics, or a related field strongly preferred.

Travel: up to 10%

Location: Fremont, CA, Headquarters
Hybrid Workplace
SoundThinking follows a hybrid schedule for employees who live equal to or less than 50 miles from one of our office locations, which include Fremont, CA, Tucson, AZ, Washington, D.C., or Iselin, NJ. Employees are expected to work onsite 3 days per week – the specific days are dependent on the office location.

Note: The Company reserves exclusive right in its sole discretion to modify, adjust, delete, add or otherwise change the above at any time.
SoundThinking provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, SoundThinking complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. SoundThinking maintains a drug-free workplace policy.

SoundThinking expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of SoundThinking's employees to perform their job duties may result in discipline up to and including discharge. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact SoundThinking at for assistance.

The above salary is based on a good faith estimate made at the time of publication and may be modified in the future. The pay offered to a candidate may vary within this range depending on factors such as education, experience, and geographic location.