Data Scientist
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Role: Data Scientist
Location: Remote however travel might be required as per business requirements
FTE Only
Where youre headed
Youll creatively use data to solve business challenges often uncovering new and transformative opportunities along the way. Applying advanced analytics quantitative tools and modeling techniques youll interpret and offer recommendations based on insights from the data.
Where youve been
Youre a problem solver data expert analyst and communicator who can create new algorithms from scratch. You have an advanced degree in a quantitative field such as computer science engineering physics statistics or applied mathematics and have:
Job Description:
- Familiarity with statistical techniques data mining hypothesis testing and exploratory data analysis
- Strong knowledge of programming languages with a focus on machine learning and advanced analytics (such as Python R Scala)
- Experience working with large datasets data pipelines and relational databases
- A collaborative mindset with the ability to communicate complex analytical concepts effectively to both technical and non technical stakeholders
- Excellent problem solving skills with the ability to analyze issues identify root causes and recommend solutions quickly
- Proven experience building validating and deploying machine learning models end to end in production environments
- Strong understanding of model performance evaluation experiment design and model lifecycle management
- Ability to translate business problems into analytical frameworks and measurable success metrics
- Experience working cross functionally with engineering product and business teams to deliver impact at scale
Good to Have:
- Experience with Generative AI including large language models (LLMs) prompt engineering fine tuning and retrieval augmented generation (RAG)
- Exposure to Agentic AI concepts such as autonomous agents tool usage planning memory and multi agent workflows
- Familiarity with modern ML/AI frameworks (e.g. PyTorch TensorFlow) and MLOps tools for deployment and monitoring
- Experience deploying AI solutions on cloud platforms (Azure AWS or GCP) with an understanding of scalability and cost considerations
- Knowledge of responsible AI practices including model explainability bias mitigation and governance
