Design, build, and deploy machine learning and generative AI models (including LLMs and text-to-image). Analyze large datasets, run A/B and statistical tests, collaborate with data engineering and engineering teams, and create dashboards/visualizations to communicate insights. Optimize data pipelines and model performance to support data-driven decisions.
Position: Data Scientist
Job Summary
We are seeking a skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will be responsible for transforming complex datasets into actionable insights, leveraging advanced statistical techniques, machine learning models, and data visualization tools. You will collaborate closely with cross-functional teams to support data-driven decision-making and contribute to impactful business outcomes. They must possess knowledge of Python, and machine learning frameworks.
Responsibilities
• Analyze large and complex datasets to identify patterns, trends, and insights. Develop, test, and
implement machine learning models for predictive analytics.
• Develop and implement generative AI models, including LLMs, text-to-image and generative AI
models.
• Partner with data engineering teams to define data requirements and ensure data pipelines are
optimized for analysis.
• Conduct hypothesis testing, A/B testing, regression analysis, and other statistical methods to
validate business assumptions.
• Collaborate with engineering teams to deploy machine learning models into production and
ensure model performance meets business needs.
• Collaborate with other engineers, stakeholders and team members to develop innovative
solutions.
• Create compelling visualizations and dashboards using tools like Tableau, Power BI, or similar
to present insights to both technical and non-technical audiences.
• Ability to quickly identify opportunities for model improvement
Requirements
• Bachelor's or master's degree in computer science, Engineering, or a related field.
• 5+ years of experience in developing and training AI/ML models.
• Experience with data querying languages like SQL, scripting languages like Python, and/or
statistical/mathematical software e.g. R
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Knowledge of state-of-the-art generative AI models such as GPT, LLaMA, Gemini and DALL-E.
• Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of deep learning, natural language processing, and computer vision.
Preferred Qualifications:
• Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or
other Science related discipline with course work in AI/ML.
• Experience with version control systems like Git.
• Familiarity with cloud-based ML model deployment (e.g., Azure ML, AWS SageMaker).
Photon New York, New York, USA Office
New York, United States
Similar Jobs
Cloud • Information Technology • Internet of Things • Software
The Senior Data Scientist will manage end-to-end data science efforts, ensure stakeholder trust through timely analysis, and build systems for reproducibility while collaborating with various teams.
Top Skills:
Python
Fintech • Financial Services
As a Senior Data Scientist at Greenbox Capital, you'll build and scale predictive models, impact credit decisions, and collaborate across teams for data-driven solutions.
Top Skills:
DatabricksMlflowPythonSQL
Artificial Intelligence • Information Technology • Productivity • Software
The Senior Data Scientist will lead data science initiatives at Rundoo, translating business problems into actionable insights, building internal decision systems, and collaborating with various teams to enhance business operations.
Top Skills:
Python
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
