Job Description
Responsibilities for Data Scientist
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases/Outside Market to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Undertake preprocessing of structured and unstructured data (OR) Analyze large amounts of information to discover trends and patterns AND Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Develop company A/B testing framework and test model quality.
The ideal candidate is :
- Adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
- Ability to use predictive modeling for revenue generation, and other business outcomes.
- Proven ability to drive business results with their data-based insights. (S)He must be comfortable working with a wide range of stakeholders and functional teams.
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, Software tools such as R, Python, SAS, Excel VBA etc.
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra),
- Problem-solving aptitude
- Excellent communication and presentation skills
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.