Tixy Tech ยท 2 days ago
Data Scientist
United States
Contract
Remote
Mid LevelTixy Tech is seeking a proactive Data Scientist with strong AI/ML and Large Language Model expertise, particularly in time-series modeling. The role involves developing models from business data and deploying AI solutions to drive business value.
Information Technology & Services
Hiring Manager
Sumit Tiwari
Responsibilities
Data Analysis & Feature Engineering: 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
LLM and Agent-based Application: Build AI solutions using LLMs, emphasizing prompt engineering, multi-agent systems, fine-tuning, and inference optimization
Business Impact & Decision Support: Translate complex data science methodologies into actionable insights, collaborating with stakeholders to drive business value
Data Storytelling & Visualization: Develop clear, compelling presentations and dashboards to communicate findings to non-technical stakeholders
Qualification
Required
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 boosting are required
Strong communication abilities and a track record of collaborating with stakeholders and business owners are important
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
Deep learning, Generative AI, computer vision, data engineering, and ML Ops experience is helpful but not required
Company
Tixy Tech
Tixy Tech is a reputable consulting and staffing firm that operates across the nation, committed to delivering exceptional resources to cater to our clients' diverse hiring needs in technology, assessment, management, logistics, and accounting/finance.
Founded in 2020
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase