ThinkMarkets is a global financial technology company, specializing in providing multi-asset trading solutions to thousands of clients around the world. With our flagship ThinkTrader platform, we make it available for our clients to trade the world 24-hours a day. Our mission is to bridge the gap between traders, investors, and platforms by allowing access to global markets and thousands of products thus providing our clients the ability to trade the world in the palm of their hand. We use the latest technologies to give traders seamless access to our proprietary trading platforms.
We are seeking a Marketing Data Science Intern to join our rapidly growing global workforce in Chicago. This position is tasked with establishing a reporting framework for our worldwide marketing and sales activities. You will guide growth in underserved areas such as building a reporting and visualization suite along with delivering insights on acquisition efforts. This role is based in our Chicago office and reports to the Head of Data Science.
Responsibilities:
- Measure the impact of our various sales channels and marketing campaigns, and how they interact with each other
- Assist in model development to harness large data sets to improve flexibility in automated marketing decision making
- Help with the development of modeling algorithms to analyze the customer, market, and trading data signals to influence marketing decision making
- Assist with the development and maintenance of dashboards and visualizations that inform both tactical and strategic decision making
- Assist in developing and implementing machine learning models for customer segmentation, churn prediction, lead scoring, and campaign targeting
- Process, cleanse, and verify the integrity of data used for analysis
- Deliver well-documented datasets, tools, and reports to key technical and business team members
- Help standardize the ThinkMarkets analytics approach for version controls, code sharing and improving operational efficiency
Requirements
:
- Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Marketing, or a related field.
- Foundational knowledge of analytics platforms, Excel, Tableau or other BI visualization software
- Experience with SQL and Python (e.g., Pandas, Scikit-Learn) for data manipulations, data aggregations, and statistical analysis
- Experience with data cleansing, from data preparation to analysis and deployment
Preferred Qualifications
- Experience with Linux
- Experience with marketing platforms such as Google Analytics
- Previous experience with marketing data analysis or internships in a related field
