Mid Level Chicago Startup and Tech Jobs

16

Sr. Data Scientist/AI Scientist

Stats Perform
Chicago
1 day ago
+24
Researching, developing, and implementing the most innovative machine learning and computer vision techniques to Stats Perform's wealth of sports data (both structured and unstructured). Productizing artificial intelligence based solutions along side engineers and product teams. Providing technical guidance to product teams on the artificial intelligence (machine learning and computer vision) approaches appropriate for a task. Patenting the innovative solutions.

Lead Real World Analytics Data Scientist

Tempus
Chicago
5 days ago
+34
As part of the external data science team at Tempus, you’ll be on the front lines of our collaborations with external partners, helping them apply cutting-edge data science techniques to unique cancer datasets. Your work will be part of the foundation of the next layer of research questions: you will be responsible for implementing and/or developing bioinformatics tools to address biological questions that query cancer datasets, and for communicating results and scientific findings on a regular basis, using appropriate communication and visualization tools commonly used in biological research.

Informatics Scientist - Cardiology AI

Bioinformatics Scientist, Data Operations

Statistical Geneticist

Assay Development Staff Scientist, IVD

Real World Analytics Data Scientist

Senior Data & Machine Learning Scientist

Manager, Strategic Operations

Senior Clinical Genomics Scientist

Principal Bioinformatics Scientist

Load 6 more jobs10 jobs at Tempus

Machine Learning Engineer

Stats Perform
Chicago
5 days ago
+24
We are looking for a Machine Learning Engineer to build world-class machine learning platform solutions. You will be responsible for empowering data scientists and AI scientists by developing a collection of industry-strength platform services to greatly improve scientists productivity and facilitate innovation. Your responsibilities include, but not limited to:

Applied Data Science Lead, Government

Civis Analytics
Chicago
1 week ago
+32
The Applied Data Science (ADS) team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Due to our growth, we have a new role in our public sector practice, which provides data science solutions for Federal, as well as state and local clients. ADS Leads play a pivotal role in powering Civis’ growth. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business through delivering excellent work and identifying new strategic growth opportunities for the company. You will also manage, supervise and mentor a team of Data Scientists in the ADS practice to deliver custom analytic solutions to our clients. In addition, you will work across our engineering, social science, and data research teams, and have the support of our company’s 100+ data scientists and engineers to help bring cutting-edge predictive analytics to our public sector clients.

Senior Applied Data Engineer

Civis Analytics
Chicago
6 days ago
+32
In this role, you will structure, transform and clean complex data sets to enable our Applied Data Science Team to perform and deliver exceptional data science solutions to our clients. You will also collaborate internally and with our clients to build elegant and sustainable data pipelines for our clients. 

Senior Applied Data Scientist, Government

Civis Analytics
Chicago
6 days ago
+32
As a Senior Applied Data Scientist, you will structure hard problems, define our methodological approach, build predictive models, collaborate in cross-functional teams, and be responsible for project milestones and presentations. You will also be a mentor to other data scientists, potentially managing newer hires, contributing to internal assets, and fostering learning and collaboration. You will work closely with our Applied Data Science Leads and our Managing Director to develop relationships, partnerships, and proposals for new governmental work, and may take responsibility for entire projects or accounts as you grow in your role. 

Research Manager

Civis Analytics
Chicago
3 weeks ago
+32
As a Research Manager on Civis’ Client Services division, you’ll work with some of the world’s most recognized brands and organizations, helping them solve their biggest challenges with research at scale. Our work includes observational studies, field and digital experiments and measurement, custom audience recruitment, and international research.

Principal Data Scientist, Pricing

Root Insurance
Chicago
1 month ago
+27
The Pricing R&D team is looking for a Principal Data Scientist to help improve and maintain our pricing models. In this role, you’ll be working alongside our Pricing R&D and Actuarial teams from ideation to deployment, rapidly researching and testing new, innovative approaches to loss cost modeling. The ideal candidate will have experience in Private Passenger Auto, with expertise in the research process, evaluation protocols, and post-deployment analyses. 

Senior Data Scientist

Maven Wave Partners
Chicago
2 months 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

Root Insurance
Chicago
2 months ago
+27
Root is looking for an experienced Senior Data Scientist to help drive the future of our team. This includes taking high-level business challenges, translating them into a concrete, quantitative framework, and shepherding solutions from R&D into production. A Senior Data Scientist is expected to join the team with years of industry or academic experience in directly relevant topics.

Data Engineer

Brad's Deals
Chicago
3 months ago
+48
In this role, you will focus on the design, implementation, operation, and refactoring  of data management systems to meet the Brads Deal's business needs. This includes designing how the data will be stored, consumed, and integrated into our systems.  You will take business requirements, transform them into data models, and develop ETL processes to populate those models.  We are a small (and growing) team so it's important that you enjoy working a project from end­-to-­end. You will identify, design, and implement internal improvements to how we process data.  This could include automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. You should have hands-on experience with a variety of the data warehousing concepts and practices, covering both technical development  as well as ‘not­-necessarily technical practices’ such as data governance.   This list of experiences includes data manipulation, database partitioning, data structures, data management, and best engineering practices.

Cloud Data Engineer

Maven Wave Partners
Chicago
3 months ago
+22
Build and implement complex data solutions in the cloud (AWS, GCP and/or Microsoft). Uncover and recommend remediations for data quality anomalies. Investigate, recommend and implement data ingestion and ETL performance improvements. Document data ingestion and ETL program designs, present findings, conduct peer code reviews. Develop and execute test plans to validate code.

Data Scientist

Maven Wave Partners
Chicago
3 months 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. 

Data Engineer

Legal & General Investment Management America
Chicago
4 months ago
+26
As a Data Engineer you will be joining a motivated team of professionals working to design and build solutions for entire breath of the firm, including Portfolio Managers, Analysts, Quants, Marketing, Compliance and Operations. You will gain exposure to a variety of partners at all levels, from Senior Technology leaders to Senior Business partners. In addition, you will obtain exposure and experience in the latest technologies. We are adopting a wide array of technology and approaches from some of the most proven Open Source projects to tried-and-true enterprise platforms.

Data and Analytics Staff Consultant

Analytics8
Chicago
8 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
8 months ago
+28
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 + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Junior Data Analyst $55,200
Min: $36K
Max: $85K
Data Analyst $69,299
Min: $42K
Max: $150K
Junior Business Analyst $72,000
Min: $72K
Max: $72K
Business Analyst $74,786
Min: $35K
Max: $180K
Business Intelligence Analyst $83,996
Min: $45K
Max: $135K
Senior Data Analyst $85,591
Min: $60K
Max: $135K
Business Intelligence Developer $94,680
Min: $70K
Max: $126K
Senior Business Analyst $96,467
Min: $67K
Max: $150K
Junior Data Scientist $106,000
Min: $106K
Max: $106K
Data Scientist $110,672
Min: $45K
Max: $155K
Analytics Manager $110,843
Min: $80K
Max: $163K
Data Engineer $117,627
Min: $65K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Senior Data Engineer $134,000
Min: $120K
Max: $162K
Senior Data Scientist $138,135
Min: $47K
Max: $215K
Data Architect $141,364
Min: $68K
Max: $190K
Database Administrator $142,800
Min: $130K
Max: $166K
Director of Analytics $153,492
Min: $103K
Max: $250K
Data Engineering Manager $200,667
Min: $182K
Max: $210K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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