Data Scientist

  • Competitive
  • New York, NY, États-Unis
  • CDI, Plein-temps
  • S&P Global
  • 19 janv. 19

Data Scientist

JobDescription :
Data Scientist At S&P Global, we hire talented people and give them the autonomy and support needed to build amazing technology and products. To do this, we look for people who insist on a bias towards action to minimize unhelpful hierarchy and process. We collaborate using our teammates' diverse perspectives to take on, hard problems. Our communication with one another is open, transparent and efficient. We dedicate time and resources to explore new ideas and, as a result, we produce technology that is scalable, robust, and useful. A data scientist at S&P Global is passionate about one thing: data. You will have extensive experience applying a range of econometrics/statistics models to a diverse set of data. You should enjoy moving beyond the theoretic confines of academia to applying your tradecraft in the real world and producing data driven products that will be used by decision makers throughout the global banking industry and beyond. The ideal candidate is precise and detail oriented. Most meaningfully, at S&P Global, our data scientist are excited at the opportunity to work in a lean, tight-knit startup bringing transparency to some of the hardest problems in the world.
Location: New York, NY or Boston, MA What You'll Do:

  • Conduct creative research on some of the most interesting datasets - both proprietary and open source
  • Identify, research, prototype, and build predictive products
  • Analyze, transform, structure, and crunch financial data that is growing in size, diversity, and complexity
  • Write production-ready code to identify interesting outliers, anomalies, correlations, and associations
  • Write tests to ensure the robustness and reliability of the team's productionized models
What We Look For:
  • Advanced degree in Computer Science, Statistics, Economics, or related quantitative field
  • 2+ years of experience in data analysis or similar role
  • At least one core programming expertise, such as python (iPython, NumPy, SciPy, Pandas) or R
  • Experience with advanced machine learning, natural language process, and statistics model
  • Strong statistical knowledge and intuition, especially for applying analysis to real data
  • Strong interest on capital market & economics theory
How to Really Get Our Attention:
  • Major contributor at a top company with big data
  • Individual research
  • Significant experience at a top financial analytics company or hedge fund
  • Your github account showing ambitious yet practical initiative
Technologies We Like:
  • Advanced statistics & statistical programming language like python, R, and MATLAB
  • Python and specifically Numpy, SciPy & Pandas, scikit-learn, TensorFlow, Theano
  • Data stores like Postgresql, ElasticSearch, and various NoSQL alternative

At S&P Global, we don't give you intelligence-we give you essential intelligence. The essential intelligence you need to make decisions with conviction. We're the world's foremost provider of credit ratings, benchmarks and analytics in the global capital and commodity markets. Our divisions include S&P Global Ratings, S&P Global Market Intelligence, S&P Dow Jones Indices and S&P Global Platts. For more information, visit

S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local law. Only electronic job submissions will be considered for employment.