Data Scientist

About This Role

Manage and execute data science projects from start to finish, including data manipulation, predictive modeling, and stakeholder engagement. This role involves implementing code for data analysis and building machine learning models to solve business problems.

Responsibilities

• 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 projects
• Produce and maintain technical documents

Requirements

• 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

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
• 3+ years as a data science practitioner or 2+ years in predictive analytics

Nice to Have

• 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

Skills

* Required skills

Benefits