Data Scientist

What You Will Get To Do: 

Manage and execute entire project from start to finish (problem solving, data gathering, data manipulation, predictive modeling, and key stakeholder engagement)

Demonstrate technical knowledge on feature engineering, effective exploratory data analysis, and building statistical models

Implement code (Python, R, Scala, SQL, etc.) for analyzing data and building machine learning and econometric models to solve specific business problems

Translate analytic insights into actionable recommendations

Contribute to the scientific roadmap

Research, learn, and adapt new modeling techniques and procedures to solve complex business problems

Build a common data science infrastructure that will house statistical models and enable scientists to run experiments on a large variety of project

Produce and maintain technical documents

What You Will Bring: 

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; or data science practitioner for 3+ years

Solid experience in descriptive analytics (reporting, querying, scorecards, dashboard building, visualization, presentations, etc.)

Experience in data mining and data engineering techniques (gathering, preparing, cleansing, and transforming data) to find patterns and build models

Experience in predictive analytics (statistical data modeling, predicting what customers would do, how customers would respond to marketing campaigns, how client experience would improve, etc.)

Experience in supervised methods (classification, regression, causal modeling) and unsupervised methods (clustering, co-occurrence grouping, profiling)

Experience programming in R, Scala, Python (Django, Flask, Pyramid, etc.), or similar languages and maintaining code repositories

Experience formulating and testing hypotheses using tools like Jupyter notebooks, R, Julio, etc.

Create prototype machine learning or statistical models using open-source packages, such as SciKit Learn, PyTorch, Tensorflow, Stan, or equivalent

Excellent verbal and written communication skills

Preferred Qualifications

Experience in building prescriptive analytics (optimization, randomized test, designing experiments, simulations, finding optimum price, etc.)

Experience in building business intelligence automation using platforms such as Snowflake, Salesforce, QuickSight, Tableau, or similar

Working knowledge of optimizers (i.e. Gurobi) or solvers (GLPK, LP_Solve)

Previous experience integrating multiple applications and data APIs

Knowledge of software development life cycle (coding standards, code reviews, source control, build processes, testing, and operations)

Familiarity with front-end technologies such as HTML5 and JavaScript

Leadership skills and ability to work well with others