Senior Data Scientist (Contract)

Harris Fields Search Partners, N.A.; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A global professional services firm is seeking a highly skilled Senior Data Scientist for a 5-month contract in New York. This role involves analyzing complex data using advanced statistical and machine learning techniques. The ideal candidate will have extensive experience in data analysis, proficiency in Python, and a strong understanding of natural language processing. Join a team that values innovation and drive impactful decision-making processes in the organization.

Qualifications

• A minimum of ten years of proven experience in data analysis and machine learning.
• Strong understanding and experience with generative artificial intelligence and large language models.
• Familiarity with Agile frameworks and collaboration in cross-functional teams.

Responsibilities

• Analyze complex data using statistical and machine learning models.
• Utilize Python for data analysis and visualization.
• Develop solutions for NLP and generative modeling tasks.
• Communicate findings effectively to stakeholders.

Skills

Data analysis

Statistical modeling

Machine learning techniques

Proficiency in Python

Natural language processing

Communication skills

Business analysis

Education

Bachelor's degree in a quantitative field

Master's degree in a relevant field

Tools

Databricks

Spark

APIs

Linux operating systems

Job description

About the job Senior Data Scientist (Contract)

Our client, a global professional services firm, is seeking a highly skilled and motivated Senior Data Scientist to join their dynamic team for a 5-month contract engagement, with the possibility of an extension based on performance and project needs. As a Senior Data Scientist, you will be crucial in analyzing complex data using statistical and machine learning models. Your work will provide valuable insights and drive data-driven decision-making processes within the organization.

Position Requirements:

• A bachelor's degree in a quantitative field is required; a master's degree is preferred.
• A minimum of ten years of proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in Python for data analysis and visualization.
• Experience working with APIs, Linux operating systems, structured and unstructured databases, big data technologies such as Databricks and Spark, and cloud services.
• Strong understanding and experience with natural language processing, generative artificial intelligence, and large language models.
• Excellent communication skills, with the ability to convey complex findings to both technical and non-technical stakeholders.
• Experience in business analysis and familiarity with working in an Agile framework.

Responsibilities:

• Analyze complex data using statistical and machine learning models to derive actionable insights.
• Utilize Python for data analysis, visualization, and collaboration with APIs, Linux operating systems, databases, big data technologies, and cloud services.
• Develop innovative solutions for natural language processing and generative modeling tasks utilizing natural language processing, generative artificial intelligence, and large language models.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective data science solutions.
• Communicate findings and insights effectively to stakeholders, demonstrating strong communication skills and experience in business analysis.
• Participate in an Agile framework, engaging in sprint planning, daily stand-ups, and retrospectives.
• No relocation assistance will be provided.
• Visa sponsorship is not available for this position.

Why Join Us?
Join a forward-thinking team that values innovation and expertise in data science. This role offers the opportunity to make a significant impact within the insurance industry while working with cutting-edge technologies.

How to Apply:
All questions should be directed to [e-mail].