Mid Level Chicago Startup and Tech Jobs

15

Machine Learning Engineer

Stats Perform
Chicago
1 day 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:

Software Engineer - Data Platform

Arrive
Chicago
1 day ago
+24
Building and deploying end to end data pipelines. Designing new enterprise data models and ETL processes to populate them. Working with data and software engineers to develop, test, and deploy new data driven solutions. Continuously looking at new technologies that improve our data infrastructure.

Data Engineer

Brad's Deals
Chicago
3 days 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.

Informatics Scientist - Cardiology AI

Tempus
Chicago
4 days 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

Clinical Informatics Integration Analyst

Senior Data & Machine Learning Scientist

Protocol Manager

Informatics Data Engineer

Principal Bioinformatics Scientist

Load 3 more jobs7 jobs at Tempus

Associate Business Intelligence Analyst

PerkSpot
Chicago
4 days ago
+39
Become the Business Intelligence thought leader at PerkSpot. Deliver key strategic BI initiatives. Provide strategic insights that will continue to grow the business. Develop your career as a Business Intelligence professional.

Senior Data Engineer

Arrive
Chicago
4 days ago
+24
Arrive is looking to add a Data Engineer to build and maintain cutting-edge, scalable, flexible data pipelines that allow us to run a modern, data-driven business and uncover real-time insights. Reporting to the Lead Data Engineer, this person will take ownership of the reliability and availability of data in our data warehouse in order to support data analysis and storytelling efforts.

Data Analyst - Sales & Forecasting - Air

Hopper
Chicago
3 weeks ago
ABOUT HOPPER At Hopper, we’re on a mission to make booking travel faster, easier, and more transparent. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world’s fastest-growing travel app -- one that enables our customers to save money and travel more. With over $235M CAD in funding from leading investors in both Canada and the US, Hopper is primed to continue its path toward becoming

Business Analyst

Codal
Chicago
3 weeks ago
+36
Codal is searching for a highly experienced IT business analyst, a strategist with the right combination of technical knowledge and business acumen to provide our clientele with robust, informed solutions. Our ideal candidate will not only conduct rigorous analysis of a business' processes, objectives, and needs, but also translate these goals into functional requirements through comprehensive documentation. They will serve as a liaison between designers, developers, and the client, and recommend decisions based on the insights gained from intensive research.

Senior Data Analyst

Reverb
Chicago
3 weeks ago
+37
Reverb’s Senior Data Analyst - Finance will be part of the Analytics team and play an integral role supporting Reverb’s financial infrastructure - we own critical financial reporting systems, continuously drive process improvement, and provide an analytical framework for critical decisions impacting revenue and operational drivers. The position requires an experienced analytics professional capable of juggling multiple priorities in a dynamic, rapidly growing organization who can partner across organizational and functional boundaries to drive loosely defined projects to successful completion.

Principal Data Scientist

Strong Analytics
Chicago
3 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

Data Engineer

Fetch Rewards
Chicago
1 month ago
+29
Your focus will be on developing pipeline frameworks, microservices, and data solutions that can scale to match the company’s growth trajectory. We don't lock ourselves into particular technologies, but some we are currently using include AWS, Snowflake, Python, Spark, Lambda, CloudFormation, Docker, Kinesis, MongoDB, and Tableau. You’ll also get to join a team of talented individuals who will provide you with hands-on mentorship on topics ranging from engineering to DevOps to analytics. Success in this role requires the ability to analyze challenging problems, propose solutions under the guidance of experienced teammates, and implement designs within timeframes that keep up with business needs.

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.

Senior Data Engineer

Leaf Trade
Chicago
5 months ago
+26
We are looking for a self-managing, organized and intelligent candidate to take on the responsibility of ingesting, staging, and analyzing large transactional datasets. You will manage and prioritize all quantitative analysis projects, and deliver business-quality results partnering with our development team to build products based on your work.  You will provide interesting and actionable insights into the business at a macro - and client level, and build robust predictive analysis tools to help guide internal and client decision making. You will expose your data products via API endpoints that can be used to deliver customer-facing features. 

Data Engineer

Strong Analytics
Chicago
5 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
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.

Data + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Junior Data Analyst $47,750
Min: $36K
Max: $63K
Data Analyst $68,822
Min: $42K
Max: $150K
Junior Business Analyst $72,000
Min: $72K
Max: $72K
Business Analyst $73,798
Min: $35K
Max: $180K
Business Intelligence Analyst $83,996
Min: $45K
Max: $135K
Senior Data Analyst $85,202
Min: $60K
Max: $135K
Senior Business Analyst $95,252
Min: $67K
Max: $135K
Business Intelligence Developer $97,422
Min: $74K
Max: $126K
Junior Data Scientist $106,000
Min: $106K
Max: $106K
Analytics Manager $110,843
Min: $80K
Max: $163K
Data Scientist $111,254
Min: $45K
Max: $155K
Data Engineer $120,389
Min: $65K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Senior Data Engineer $135,500
Min: $120K
Max: $162K
Senior Data Scientist $137,939
Min: $47K
Max: $215K
Data Architect $140,182
Min: $68K
Max: $190K
Database Administrator $142,800
Min: $130K
Max: $166K
Director of Analytics $146,241
Min: $103K
Max: $196K
Data Engineering Manager $196,000
Min: $182K
Max: $210K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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