Mid Level Chicago Startup and Tech Jobs

11

Informatics Scientist - Cardiology AI

Tempus
Chicago
1 day ago
+34
We are seeking a highly motivated and capable informatics scientist with extensive experience and interest in healthcare statistical analysis to join our team and lead our efforts to secure regulatory approval for novel AI algorithms in cardiology. This position requires experience with algorithm validation, statistical analysis, scientific writing and algorithm validation. Top candidates will also have experience with cardiology. 

Statistical Geneticist

Senior Data & Machine Learning Scientist

Principal Bioinformatics Scientist

Applied Data Science Lead, Commercial

Civis Analytics
Chicago
3 days ago
+31
We are currently seeking an ADS Leads play a pivotal role in powering Civis’ growth within the Commercial sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.  The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science. ADS Leads manage, supervise and mentor a team of Data Scientists to deliver analytic solutions to our commercial clients that help inform some of their biggest decisions.

Senior Business Intelligence Consultant

Aptitive
Chicago
5 days ago
+37
Aptitive is a Chicago based modern data and analytics consulting firm that sets strategy and develops technology to automate the delivery of key information that our clients use to drive their business. Our consultants work directly with c-level executives on both the IT and business side of the organization to to understand their business goals, create a strategy and roadmap to address these goals, and architect and develop end-to-end

Senior Data Engineering Consultant

Aptitive
Chicago
5 days ago
+37
Aptitive is a Chicago based modern data and analytics consulting firm that sets strategy and develops technology to automate the delivery of key information that our clients use to drive their business. Our consultants work directly with c-level executives on both the IT and business side of the organization to to understand their business goals, create a strategy and roadmap to address these goals, and architect and develop end-to-end

Data Scientist

Maven Wave Partners
Chicago
1 week ago
+22
Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. 

Senior Data Scientist

Maven Wave Partners
Chicago
1 week ago
+22
Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. 

Principal Data Scientist

Strong Analytics
Chicago
2 weeks ago
Strong Analytics is seeking a Principal Data Scientist to join our growing team! Principal Data Scientists take responsibility for designing, executing, and delivering successful projects for our clients. They play a "player coach" role. In this role, you will: Work with clients to scope project requirements and architecture Orchestrating the project team (data scientists, engineers, and dev-ops) to successfully build out the project roadmap

Lead Data Science Analyst

Discover
North Suburbs
3 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.

Data and Analytics Staff Consultant

Analytics8
Chicago
4 months ago
+17
Strong knowledge of BI/DW development methodologies, dimensional modeling, standards and procedures. Intermediate level SQL experience. Significant Experience in one or more of the following toolsets: Data Integration Tools (ETL), Business Intelligence Products, and Data Visualization Tools. Design and implement effective test cases. Develop complex business logic using advanced tools to transform and cleanse data. Create industry standard technical artifacts for project delivery. Experience with an industry data modeling tool Industry Relevant Certification(s). Basic understanding of network and system architecture. Contribute to high quality project documentation and other project artifacts. Scrutinize functional requirements, specifications and source to target mapping documents, identifying underspecified requirements and other design challenges.

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.

Data Scientist

Strong Analytics
Chicago
5 months ago
Statistical modeling and hypothesis testing. Designing, training, and validating results from a breadth of machine learning algorithms. Writing clean, efficient SQL. Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop). Building Python applications. Deploying applications into cloud-based infrastructures (e.g., AWS). Building deep neural networks with modern tools, such as PyTorch or Tensorflow. Creating and interacting with RESTful APIs. Managing *nix servers. Writing unit tests. Collaborating via Git.

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