Mid Level Chicago Startup and Tech Jobs

5

Data Scientist

Rewards Network
Chicago
2 weeks ago
+29
Drive actionable insights from data and present them to external and internal clients in a compelling manner. Collaborate across departments to understand business objectives and identify novel data-opportunities. Develop machine learning algorithms that support our three-way marketplace: Eg. recommendation engines, marketplace segmentation, behavioral analysis, customer retention, network optimization. Contribute to the development and maintenance of our data infrastructure to enhance the cleanliness and effectiveness of our data sources. Create well documented coding and analytics packets to ensure reusability as the team expands. Collaborate with Marketing in the design, implementation, and analysis of marketplace research.

Lead Data Science Analyst

Discover
North Suburbs
4 weeks ago
+30
Responsible for working closely with management to execute analytical intiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.  Leverages extensive and deep technical knowledge skills to drive the development of data science solutions and implement data driven recommendations.

Senior Data Scientist, NLP

Ascent
Chicago
3 months ago
+28
As a Senior Data Scientist working on NLP at Ascent, your day-to-day work will include working closely with business users, our regulation content team, and the rest of our data scientists and engineers to: a) use state-of-the-art NLP to automate significant sections of the workflow involved in onboarding and managing regulations; b) uncover novel features and information from text to enable new product features (e.g. finding related groups of regulation across regulators); c) deploy, monitor, and maintain models to actually solve problems in production; and d) experiment with creative solutions to problems that use new research and tools and disseminate new knowledge to the team. We primarily use the Python data ecosystem, including both scikit-learn and Keras+Tensorflow, but we are open to all tools. We use all kinds of models, including deep learning and non-deep learning; we prefer to use the simplest tool that accomplishes the goal. 

Machine Learning Data Scientist

Wolverine Trading
Chicago
4 months ago
+38
We are looking for a Statistical Machine Learning expert to be a member of our Quantitative Research team.  You will be using large data sets to create trading strategies, improve trading, quantitative research and data mining. This work will be challenging, fast-paced, and competitive. You will collaborate with quants and traders to develop and improve trading strategies.

Database Developer

Kalderos
Chicago
5 months ago
+24
Build and maintain relational database artifacts and analytic tools that are high-performance, maintainable and flexible. Assist the Database Developer in planning for and acting on requirements for constant growth and expansion of Kalderos’ database environment. Quickly gain expertise with Kalderos’ existing database and business models and provide input on how to continually enhance both. Be the first line of support for questions about data quality and status.  Adhere to and promote software development standards and align them with changing technologies. Continually research and analyze new database frameworks and tools that Kalderos can bring to bear in its continuous improvement journey.

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