Senior Data Scientist - Veterans Sourcing Group
New York, NY 10001
About the Job
Senior Data Scientist
New York, NY
Prior experience in the financial industry is preferred.
Job Summary
• Analyze complex data using statistical and machine learning models to derive actionable insights.
• Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services.
• Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
• Communicate findings and insights effectively to stakeholders. Apply strong communication skills and experience in business analysis.
• Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives.
Requirements:
• Bachelor's or Master's degree in a quantitative field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in Python for data analysis and visualization, along 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, with the ability to convey complex findings to both technical and non-technical stakeholders.
• Experience in business analysis and working in an Agile framework.
PRESCREENING QUESTIONS:
1.) What is the candidate's full legal name?
2.) What is the candidate's Month and Day of DOB (required for submission to client as an unique identifier):
3.) What is candidate's desired hourly pay rate?
4.) Please provide the link to candidate's LinkedIn profile:
5.) Where is the candidate located? If candidate is not near the job location, please explain relocation plan in detail (e.g. timeline, relocating with family, selling/buying property)
6.) Is the candidate legally authorized to work in the US for any employer?
7.) Will the candidate now or in the future, require immigration sponsorship for work authorization (for example, H-1B status)?
8.) Can you describe your experience working with statistical models and machine learning algorithms? Which libraries or frameworks do you use most frequently in Python?
9.) Do you have experience with natural language processing (NLP), Generative AI, or large language models (LLMs)? Can you provide an example where you applied these techniques in a project?
New York, NY
Notes from the Hiring Manager:
- Education: Focus on candidates with a CS undergrad and a Master's in Math, Statistics, Data Science, or Machine Learning. If they do not have a graduate degree in STEM, they will not be considered.
- Experience: 8 to 12 years of relevant experience is required. Pay particular attention to the last 10 years of their work experience.
- Resume Length: Resumes should be short (2 pages). If the introduction section has over 20 bullet points, they likely lack the summarization skills needed for this role.
- Recent Experience: Candidates must have solid data science work in the last 5 years. If this is missing, they will not be considered.
- Role Focus: Resumes that list "full-stack data scientist" will not be reviewed.
Prior experience in the financial industry is preferred.
Job Summary
- We are seeking a highly skilled and motivated Senior Data Scientist to join our team. As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes. The ideal candidate will have a strong background in mathematics, statistics, and machine learning, along with proficiency in Python data analysis and visualization, API ecosystem, Linux OS, structured and non-structured databases, big data technologies (Databricks, Spark), and cloud services.
• Analyze complex data using statistical and machine learning models to derive actionable insights.
• Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services.
• Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
• Communicate findings and insights effectively to stakeholders. Apply strong communication skills and experience in business analysis.
• Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives.
Requirements:
• Bachelor's or Master's degree in a quantitative field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in Python for data analysis and visualization, along 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, with the ability to convey complex findings to both technical and non-technical stakeholders.
• Experience in business analysis and working in an Agile framework.
PRESCREENING QUESTIONS:
1.) What is the candidate's full legal name?
2.) What is the candidate's Month and Day of DOB (required for submission to client as an unique identifier):
3.) What is candidate's desired hourly pay rate?
4.) Please provide the link to candidate's LinkedIn profile:
5.) Where is the candidate located? If candidate is not near the job location, please explain relocation plan in detail (e.g. timeline, relocating with family, selling/buying property)
6.) Is the candidate legally authorized to work in the US for any employer?
7.) Will the candidate now or in the future, require immigration sponsorship for work authorization (for example, H-1B status)?
8.) Can you describe your experience working with statistical models and machine learning algorithms? Which libraries or frameworks do you use most frequently in Python?
9.) Do you have experience with natural language processing (NLP), Generative AI, or large language models (LLMs)? Can you provide an example where you applied these techniques in a project?
Source : Veterans Sourcing Group
