Job Details

Senior Data Scientist

New York, NY | Full time

Job ID:



Long Term


5-7 years

Career Level:

Senior Level




Financial Services

Job Description

Job Responsibilities:

· Process and analyzing large volumes of (customer) data.

· Build predictive models with advanced machine learning algorithms such as Neural Networks, Decision Trees, Boosting/Ensemble methods, Clustering, Online learning, etc.

· Interact with customers from the data analysis stage to the final report presentation.

· Assist in technical sales support as needed.

· Innovate by building new variables; improving modeling techniques to boost model performance; maintaining and refining the processes and procedures for building high-end analytic modeling solutions.

· Write coherent reports and making presentations on high-end analytical projects.

Required Qualification and Experience

· Master's degree in statistics, mathematics, computer science, engineering, the physical sciences, or any other quantitative field.

· 5 years related experience such as analyzing data and/or building analytical models; in either an academic or professional setting.

· Knowledge of multiple operating systems (e.g. Windows, Unix/Linux).

· Proficiency with 1 or more of the following Programming or Scripting languages: R, SAS, Bash, Perl, Python, MatLab.

· Thorough knowledge of at least some supervised and unsupervised modeling techniques such as Logistic/Linear Regression, SVMs, Neural Networks / Deep Networks, Boosting/Ensemble methods, Decision Trees, Clustering, etc.

· Ability to manage very large amounts of data.


· Experience working for or with government contracts and deliverables.

· Industry experience in mathematical/statistical modeling, pattern recognition, or data mining/data analysis.

· Extensive experience specifying and building advanced analytic solutions for the financial services and related industries with large-scale transaction data.

· Extensive experience in data management, deployment and product support for advanced analytic solutions.

· Excellent programming skills and knowledge of SAS and scripting languages.

· Ability to translate model performance to financial benefit for the business by incorporating knowledge of customer business practices.

Additional Knowledge, Skills, And Abilities Needed

· Excellent written and verbal communication skills.

· Ability to think analytically, write and edit technical material, and relate statistical concepts and applications to technical and business users.

· Ability to work both independently and in a team environment.

· Ability to travel as business requirements dictate.