Amass · 1 week ago
Principal Data Scientist (Onsite in Houston)
Houston, TX 77002
Full-time
Onsite
Lead/Staff
$40/hr - $40/hrAmass is looking for a proactive Data Scientist with strong AI/ML and Large Language Model (LLM) expertise, particularly in time-series modeling. The ideal candidate should have experience analyzing diverse datasets, building machine learning models, and deploying AI solutions for business value.
ConsultingHuman ResourcesRecruitingStaffing Agency
Responsibilities
Collect, process, and analyze structured and unstructured data, engineering relevant features to improve model performance
Develop, train, and optimize machine learning and deep learning models for time-series analysis and anomaly detection
Build AI solutions using LLMs, emphasizing prompt engineering, multi-agent systems, fine-tuning, and inference optimization
Translate complex data science methodologies into actionable insights, collaborating with stakeholders to drive business value
Develop clear, compelling presentations and dashboards to communicate findings to non-technical stakeholders
Qualification
Required
Strong background in time-series modeling is essential
Excellent communication skills are highly valued
A solid foundation in time-series modeling and anomaly detection is required
Proficiency in Python and experience with time-series modeling techniques such as linear regression, random forest, and support vector machines are required
Strong communication abilities and a track record of collaborating with stakeholders and business owners are important
Curious & Innovative: Passionate about solving complex business problems using data and AI
Ownership & Initiative: Proactively drive projects from conception to deployment
Business Acumen: Understand how AI/ML solutions impact business goals and decision-making
Effective Communication: Ability to explain technical models and AI methodologies to non-technical audiences
Preferred
Graduate degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics)
Experience with time-series modeling and abnormal detection
Familiarity with deep learning and generative AI
Company
Amass
At Amass Solutions, we help your company develop and maintain its unique competitive advantage by devising and implementing strong human capital systems that attract, motivate, and manage your organization’s most valuable asset—its workforce.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase