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Jobs or company...
D

Data Scientist

Salary undisclosed

Apply on

Dice
Original
Simplified

Location : Dallas TX

Duration: 6 months with possible extension

Hybrid with 2-3 time onsite


Who you are:

As a Data Scientist, you are responsible for managing hands-on data extraction and data wrangling from internal and external systems. You will manipulate and clean results to build predictive and prescriptive models and present the findings to business partners and leaders. You believe in effective communication and will have the opportunity to address potential problems and solutions to complex issues. More than that, this role is about constant improvement and doing so with our signature all-win approach in mind.

What you ll do:

  • Collaborate with internal stakeholders (including executive management, risk, and compliance) to consult on business requests and explain model benefits, limitations, assumptions, and requirements.
  • Develop project plans and coordinate information flow with teams upstream and downstream from analytical efforts.
  • Manage deliverables in a deadline-driven environment and maintain clear communication with all model stakeholders.
  • Present project status, issues, and analytical findings to various audience groups (business management, risk review, model governance, etc.).
  • Data ETL and wrangling from internal and external sources.
  • Build predictive and prescriptive models by manipulating and cleaning results.
  • Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs).
  • Implement features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability.

Requirements:

  • 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.
  • 2+ years of hands-on 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 (or R), SQL, Spark, PyTorch, TensorFlow, Keras, or other analytical/model-building programming languages.
  • Familiarity with cloud tools and LLMs.
  • Ability to work independently and collaboratively within a team.

Additional 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, insurance or mortgage
  • Passion for cross-functional collaboration and team leadership.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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