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Senior Data Scientist

1 month ago

new york city, United States LHH Full time

LHH Recruiting Firm is seeking a highly skilled a Senior Data Scientist, you will play a pivotal role in driving data-driven decision-making by analyzing complex data and developing innovative solutions. You will leverage your expertise in machine learning, statistical modeling, and data analysis to extract valuable insights and support strategic initiatives. No C2C and No Sponsorship only W2 (US or GC) Ny, NY10036. Pay 70-75/hr

Responsibilities:

  • Data Analysis: Analyze complex data sets using statistical and machine learning models to uncover meaningful patterns and trends.
  • Data Science Tools: Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services.
  • Natural Language Processing: Develop innovative solutions for NLP, Generative AI, and LLM tasks, leveraging your expertise in these areas.
  • Cross-Functional Collaboration: Collaborate with teams across the organization to understand business requirements and translate them into effective data science solutions.
  • Communication: Communicate findings and insights clearly and effectively to both technical and non-technical stakeholders.
  • Agile Methodology: Work within an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives.

Qualifications:

  • Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science).
  • Proven experience in data analysis, statistical modeling, and machine learning techniques.
  • Proficiency in Python for data analysis and visualization, with experience in working with APIs, Linux OS, databases, big data technologies, and cloud services.
  • Strong understanding and experience with NLP, Generative AI, and LLMs.
  • Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to a variety of audiences.
  • Experience in business analysis and working in an Agile framework.
  • Prior experience in the financial industry is preferred.