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

• 2+ years of 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