Mid Level Chicago Startup and Tech Jobs

19

Software Engineer - Analytics

DialogTech
Chicago
23 hours ago
+47
DialogTech’s Analytics team plays an essential part in building solutions to help marketers completely understand and optimize the customer journey. We go beyond the phone call to analyze the conversation and extract insights to help marketers better serve their markets and customers. We are looking for smart, fast, passionate, and curious developers who can help push our products forward in new directions and into new markets. You will have experience and familiarity with researching, experimenting with, and using data from different sources to build new products and services. You'll be expected to keep up with current trends in technologies we use and help us find new technologies that can improve our products.

Senior Data Engineer

Arrive
Chicago
1 day 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.

Software Engineer

Integral Ad Science
Chicago
4 days ago
+49
We’re looking for a Data Engineer for our Chicago to join us in building our next generation data processing platform. As part of the platform team you will work in multiple areas including campaign performance measurement and reporting, ad fraud, and botnet detection.

Senior Big Data Engineer- Data Warehouse

Integral Ad Science
Chicago
4 days ago
+49
We’re looking for a Senior Data Engineer for our Chicago to join us in building our next generation data processing platform. As part of the platform team you will work in multiple areas including campaign performance measurement and reporting, ad fraud, and botnet detection.

Applied Data Science Lead, Commercial

Civis Analytics
Chicago
4 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.

Software/Data Engineer - Data Warehouse

Integral Ad Science
Chicago
1 week ago
+49
Planning delivery of data pipelines and api endpoints for IAS (Integral Ad Science) product offerings. Extracting, transforming, and analyzing large volumes of structured and unstructured data. Implementing data processing solutions using Big data stack including but not limited to Hadoop, Spark, Vertica, and Hive. Writing SQL queries and other types of data requests in the context of massive data sets. Building data pipelines and data stores optimized for data science needs. Implementing systems for large-scale data analysis and machine learning. Building tools for use across the Data Science and Data Engineering teams. Identifying and implementing automated tests for software components. Deploying and maintaining data processing systems in production. Partnering with engineering teams on deployments of data science driven solutions.

Database Engineer

Civis Analytics
Chicago
1 week ago
+31
As a Database Administrator, you will be responsible for improving how Civis manages and supports Redshift, our product’s primary data warehouse, as well as with other database technologies. You will serve as a subject matter expert in all things database and work on initiatives across multiple departments to implement best practices and improve the user experience of our clients.

Machine Learning Engineer

Stats Perform
Chicago
1 week 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 week 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 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.

Sales Analyst

Rewards Network
Chicago
2 weeks ago
+29
The Sales Analyst is charged with enabling the sales organization to create, manage and execute the company’s sales performance strategy. This role is responsible for utilizing all sales data and tools to ensure that Rewards Network Sales employees are aligned with our growth strategy, with the expectation to drive revenue and profitability. Reporting to the Manager of Financial Planning and Analysis, the Analyst will also be responsible for

Data Analyst - Sales & Forecasting - Air

Hopper
Chicago
2 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

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

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. 

Data Engineer, Python

Ascent
Chicago
3 months ago
+28
As a Data Engineer at Ascent, you will be working closely with other Data Engineers, Data Scientists, business stakeholders, and the broader tech and product team to build applications, pipelines, and infrastructure that accelerates our regulatory data processing. Specifically, we are building a platform that a) ingests, transforms, and manages data (e.g. regulations, customer data, machine learning features, etc); b) deploys and coordinates data microservices such as machine learning models or other transformations; c) facilitates workflows across these microservices and data layers; and d) tests, monitors, and reports on itself.

Senior Data Engineer

Ascent
Chicago
4 months ago
+28
Create a microservice ecosystem behind a consistent, well-documented API. Design and implement data models and database layers that support our machine learning and business intelligence activities. Use creativity and independent thinking to solve technical problems. Communicate clearly and effectively with technical and non-technical colleagues about our data engineering projects. Work closely with data scientists to understand their needs and processes. Work closely with our whole technology team to successfully maintain our data platform alongside the broader technology stack. Implement with an emphasis on tests, maintainability, and clean coding practices to produce simple solutions and reduce technical debt.

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 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 $68,868
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 $120,396
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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