Sr. Data Scientist/ ML

SymSoft is looking for a highly skilled and motivated  Senior Data Scientist  to join our advanced analytics team. The ideal candidate will be passionate about solving complex problems, building scalable data-driven solutions, and enabling the next generation of intelligent systems using cutting-edge technologies, including LLMs and machine learning.

You will work closely with data engineers, domain experts, data analysts, and business stakeholders to deliver actionable insights, predictive models, and intelligent automation. This role demands both technical expertise and strong communication skills to bridge data science with business impact.

This is an on-site position in Sacramento, CA.

Responsibilities:

• Integrate and analyze structured and unstructured data from multiple sources to generate actionable insights.
• Design and implement predictive models and advanced analytics techniques.
• Prepare, clean, and transform data for analysis and model development.
• Build intelligent data pipelines to support LLM-based applications, including text embeddings, SQL generation, and structured data integration.
• Develop solutions using Python, LLM frameworks, SQL/NoSQL databases, and cloud technologies.
• Apply machine learning, deep learning, and optimization algorithms to drive decision-making.
• Create and maintain Retrieval-Augmented Generation (RAG) workflows, prompt engineering methods, and vector-based search strategies.
• Collaborate with cross-functional teams and communicate effectively with stakeholders to align on goals and deliver value.
• Present findings through compelling data visualizations and storytelling using tools like Power BI or Tableau.
• Manage and deliver multiple projects independently in a dynamic, fast-paced environment.
• Contribute to a collaborative team culture focused on innovation and continuous learning.

Required Experience:

• PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
• Minimum of 10 years of hands-on experience in data science, statistical modeling, and applied machine learning.
• Strong programming skills in at least one data science language (e.g., Python, R, Scala).
• Expertise in working with large structured and unstructured datasets, including experience with big data platforms and data mining techniques.
• Proficiency in SQL, data wrangling, and building data pipelines.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• A strong understanding of LLMs, embeddings, and NLP techniques is a significant plus.
• Familiarity with healthcare data and clinical/business processes is highly desirable.
• Excellent verbal and written communication skills.
• Self-motivated, results-oriented, and capable of working both independently and collaboratively.

• Complimentary snacks, teas, and coffees.
• An opportunity to make a difference in people's lives.
• Salary Range: $85,000/Year to $110,000/Year (depends on experience and Negotiable)
• Open to Corp-corp also.