Mid Level Chicago Startup and Tech Jobs

16

Senior Payroll Specialist

Quantium
Chicago
15 hours ago
+30
You will be running the all elements of the day-to-day payroll process for our Americas team (currently 50 employees), be the go-to payroll expert for all of our internal and external stakeholders in the US, and take ownership of building a streamlined and successful payroll function from the ground up.   This is a unique opportunity with the best of both worlds – the responsibility and stretch opportunity of being the standalone payroll expert in a growing team in the US, whilst continuing to develop and be supported by the expertise of our global payroll lead and HR team based in Sydney (we have over 800 employees globally).

Lead Real World Analytics Data Scientist

Tempus
Chicago
16 hours 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

Clinical Informatics Integration Analyst

Senior Data & Machine Learning Scientist

Payroll Analyst

Data Warehouse Architect/Modeler

Informatics Data Engineer

Associate, Strategy & Operations - Tempus Life Sciences

Senior Clinical Genomics Scientist

Principal Bioinformatics Scientist

Load 9 more jobs13 jobs at Tempus

Data Engineer

Kalderos
Chicago
2 days ago
+28
Kalderos is experiencing a unique rapid scale moment and is seeking several development and engineering roles, including a Data Engineer that will be responsible for building world-class software solutions over a wide variety of warehousing, analytics, machine learning and reporting requirements. The ideal candidate is a leader who has extensive experience in data delivery and decision support technologies, has a strong sense of responsibility to customer concerns and who enjoys working in an environment filled with variety, urgency, and continuous personal and professional growth.

Machine Learning Engineer

Stats Perform
Chicago
6 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:

Senior Data Scientist

Maven Wave Partners
Chicago
6 days 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
1 month 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.

HR Business Partner

Enduvo
Chicago
1 month ago
+16
The HR Business Partner is both a strategic and hands-on role that provides full-cycle Human Resources support to the company by integrating HR strategy into day-to-day work and providing guidance and support to client groups with the objective of adding value to the business. Our ideal candidate is someone who desires to get things done – someone who is just as comfortable rolling up their sleeves and working at the tactical level as they are leading initiatives and acting as a strategic business partner. They enjoy working in a constantly-changing environment and they are excited to be on the ground floor of something that will be huge.

Cloud Data Engineer

Maven Wave Partners
Chicago
2 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
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. 

Data Engineer

Legal & General Investment Management America
Chicago
2 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.

Principal Data Scientist

Strong Analytics
Chicago
2 months ago
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. Diving in at key points to contribute technically (e.g., in data modeling/engineering). Preparing/presenting final deliverables to clients at project updates and final delivery.

Human Resources Generalist

Bluecrew
Chicago
4 months ago
+19
Working with and supporting employees to resolve concerns. Making sure all legal requirements are fulfilled during hiring, disciplining and termination best practices. Helping to administer employee benefits. Maintaining employee data and supporting documentation for all HR actions.

Data and Analytics Staff Consultant

Analytics8
Chicago
6 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
6 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 Engineer

Strong Analytics
Chicago
7 months ago
Strong Analytics is seeking a data engineer to collaborate with our team building and managing ETL pipelines, embedding statistical algorithms in robust applications, and deploying machine learning applications to the cloud. This role requires high-level Python programming, high-level SQL, experience deploying applications to AWS, and experience in distributed data processing (e.g., Hadoop, Spark, Hive).

Data Scientist

Strong Analytics
Chicago
7 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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