Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Lead the Global Data Science & Analytics Product Development team, leveraging data science expertise to build market-leading data products and analytic solutions.
Top Skills:
AWSC/C++GCPJavaPythonRSparkSQL
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Commerce Data Analyst will analyze consumer spend data, develop methodologies to integrate commerce data, create reports, and support marketing solutions. This role requires collaboration with product and engineering teams and emphasizes data-driven decision-making.
Top Skills:
AWSPythonSQL
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead and manage a team of Resellers, driving sales growth and strategy for SMB services. Collaborate cross-functionally, manage KPIs, and build a strong sales culture.
Top Skills:
Financial ServicesSaas Applications
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, Artificial Intelligence, or a related field.
- Strong foundation in machine learning concepts, algorithms, and applications.
- Proficiency in programming languages commonly used in machine learning such as Python, R, or Julia.
- Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Knowledge of data management and visualization tools.
- Ability to preprocess data, choose appropriate models, train models, and evaluate their performance.
- Strong mathematical background, especially in statistics, probability, and linear algebra.
- Good organizational and project management skills, with the ability to handle multiple tasks and complex projects.
- Effective communication and interpersonal skills, essential for working collaboratively in a research or development team.
- Eagerness to learn new techniques and stay updated with the latest advancements in the field of machine learning.
RippleMatch New York, New York, USA Office
The RippleMatch office is conveniently located in the Flatiron District, often referred to as the main hub of the NYC tech scene.
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
