Position: Data Scientist
Company: EDMS
Experience required: 2y
English level: upper

Responsibilities
- Contribute to EDMS's product roadmap by developing models to solve our customers' pressing problems
- Develop visualizations that make complex concepts intuitive to nontechnical marketers and stakeholders
- Develop forecasting models with a variety of requirements (large data sets, reinforcement learning, etc.)
- Automate analyses and data pipelines while building scalable data infrastructure
- Discover, understand, and apply cutting-edge statistical and machine learning techniques with novel applications to energy industry problems
- Assist product management and engineering in building full-featured products based on your research
- Assist sales, marketing, and client services in taking products based on your research to market and effectively communicating their value to clients and prospects

Qualifications
- Currently has or is in the process of obtaining their BA/BS or Masters in Computer Science, Mathematics, Economics, Statistics.
- Knowledge in basic probability, expectation, and conditional expectation, common statistics, exploratory data analysis, linear regression, hypothesis testing. Additional knowledge of probability is a plus.
- High level of English proficiency.
- Some Engineering experience and using large data systems on SQL, Hadoop, Spark, etc.
- Proficiency in using one or more programming or scripting languages to work with data such as Python, or R.
- Practical experience in building and maintaining forecasting models using qualitative and quantitative techniques.
- Some experience and or project course work performing data analysis and applying statistics working with tools such as Excel, Jupyter, or R.
- Proficiency in analytical and presentation tools such as Excel pivot tables, SQL queries.
- Experience in the financial industry with capital markets or wealth management portfolios is a plus.
- Passion to learn from your peers, manager, and other stakeholders in the Data Science domain.
- Ability to interact with peers and stakeholders to drive product and business impact.
- Strong interpersonal and communication skills.