Location: New York, NY
We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. This person will be responsible in shaping the future of data science ML / AI within the firm.


  • Selecting features, building and optimizing classifiers using machine learning techniques
    Data mining using state-of-the-art methods
    Extending company’s data with third party sources of information when needed
    Enhancing data collection procedures to include information that is relevant for building analytic systems
    Processing, cleansing, and verifying the integrity of data used for analysis
    Doing ad-hoc analysis and presenting results in a clear manner
    Creating automated anomaly detection systems and constant tracking of its performance
    Managing project timelines and executing to timelines

Skills and Qualifications

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
    Experience with common data science toolkits, such as NumPy, sparkML, scikitLearn, etc . Excellence in at least one of these is highly desirable
    Great communication skills
    Experience with data visualisation tools, such as D3.js, GGplot, etc.
    Proficiency in using query languages such as SQL, Hive
    Good applied statistics skills, such as distributions, statistical testing, regression, etc.
    Good scripting and programming skills (scala, python on a spark infrastructure)
    Data-oriented personality

Email resume to and include position for which you are applying.

2018 Benzinga Award Winner
M Science is proud to be named Benzinga's 2018 winner for the category of Finding Alpha Through Alternative Data. Read More