Direct message the job poster from PTR Global

Technical HR Recruiter || Sourcing Specialist Attracting Top-Tier Professionals to Innovative roles!

Job Title: Data Scientist

Location: Tampa, FL/ Irving, TX (2-3 days onsite – Hybrid)

Pay range: $70-$75 hourly on w2

Description:

Need local to Irving/Tampa and only w2

As a Data Scientist Lead, you will be involved in:

1. Developing plans and coordinating with teams for all analytical efforts.
2. Managing deliverables in an agile environment and maintaining clear communication with all model stakeholders.
3. Presenting status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc.
4. Data modeling and cleaning from internal and external sources.
5. Building predictive and prescriptive models by manipulating and cleaning results.
6. Developing, managing, and deploying analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using technology SDLC process.
7. Implementing features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability.

Qualifications:

• PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.
• 5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
• 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
• Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.
• Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
• Proficiency with tools and LLMs.
• Ability to work independently and collaboratively within a team.

Preferred Skills:

• Experience in GenAI/LLMs projects.
• Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
• Background in financial business-like banking, risk management.
• Should be familiar with capital markets and financial instruments and modeling.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology and Engineering