: Remote:: Need Experience with Banking clients

Hii,

Greetings from DS Technologies,
I am Sravani Kotha, a Staffing Specialist at DS Technologies Inc. I am reaching out to you on an exciting job opportunity with one of our clients. Kindly share the resume to [email protected] 

Title: Data Scientist
Client: Banking Client
Location: Pittsburgh, PA (Remote)

Job Description:

Our esteemed Banking Client is seeking an experienced Data Scientist to join their innovative team. This role will focus on designing, building, and optimizing cutting-edge machine learning and natural language processing (NLP) models, with a strong emphasis on large language models (LLMs). The ideal candidate will possess deep technical expertise and a strong understanding of data science principles to drive impactful solutions.

Responsibilities:

  • Apply advanced data science principles to solve complex business challenges.
  • Design, build, and optimize large language models (LLMs) and complex machine learning models tailored for banking use cases.
  • Leverage natural language processing (NLP) techniques to analyze and process unstructured text data.
  • Collaborate with cross-functional teams to implement models in production, ensuring scalability and reliability.
  • Conduct data preprocessing, feature engineering, and model evaluation using industry best practices.
  • Provide insights and recommendations by translating data into actionable solutions.
  • Stay updated with the latest advancements in data science, machine learning, and NLP technologies.

Required Skills:

  • Strong experience in Data Science Principles, including statistical modeling, predictive analytics, and machine learning.
  • Proven expertise in building large language models (LLMs) and complex machine learning models.
  • Hands-on experience with NLP frameworks and libraries such as TensorFlow, PyTorch, spaCy, Hugging Face, etc.
  • Proficiency in programming languages like Python or R and data manipulation libraries (e.g., Pandas, NumPy).
  • Knowledge of cloud platforms such as AWS (preferred but not mandatory).
  • Strong analytical, problem-solving, and communication skills.

Nice to Have:

  • Experience with AWS services such as S3, Lambda, SageMaker, and Redshift.
  • Familiarity with distributed computing frameworks like Spark or Hadoop.
  • Experience working in the banking or financial services domain.

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