Chicago Tech Jobs and Startup Jobs

13

Sr Big Data Engineer

Centro
Chicago
1 day ago
+43
Be a part of our Big Data team and of an overall Data Organization spanning multiple offices. Participate in architecture discussions and bring your experience in scalable data pipelines using Kafka Streams and/or other Big Data tools. Take ownership of design and implementation of scalable and fault tolerant projects. Maintain and incrementally improve existing solutions. Get to build brand new pipelines with the technology stack including Spark, Spark Structured Streaming, Kafka, Hadoop, MySql, Python.

Director of Data Science

DialogTech
Chicago
4 days ago
+47
You will build and lead our data science team, crafting advanced data science techniques to deliver on our mission to revolutionize how brands use consumer conversations to deliver better business results. You will have access to all the data generated from hundreds of millions of web session tracked monthly and tens of millions of minutes of phone calls recorded and transcribed monthly. Additionally, you will direct our internal data labeling team for creating training and validation datasets for our models. You will use these assets to grow the data science practice, creating models for predictive analytics, categorization, and a number of other applications. Our models help marketers and sales professionals understand the content and quality of the conversations they drive, improving the impact of their efforts. We have been first to market in this space, and we are constantly evolving our portfolio of products to continue to drive value in our fast paced environment.

Senior Big Data Engineer

Integral Ad Science
Chicago
4 days ago
+49
Working on Big Data technologies such as Hadoop, MapReduce, Kafka, and/or Spark in columnar databases. Architect, design, code and maintain components for aggregating tens of billions of daily transactions. Lead the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation for streaming and batch ETL's and RESTful API's. Mentor junior team members.

Data Labeler - Data Science (Part-Time)

DialogTech
Chicago
1 week ago
+47
Take weekly batches of data, and label it according to the project requirements with a sufficient level of accuracy You will be responsible for the quality assurance of all data sets. Provide support to the Data Science Team to design and execute experiments. Review and report any trouble related to the figures . Use audio-processing software to listen to calls, and produce summaries of the calls, assign labels to the whole call, as well as precisely mark individual words and phrases said on the calls.

DATA SCIENTIST

Conversant
Chicago
1 week ago
+48
Conduct projects end-to-end from early stage research through development, in consultation with stakeholders. Use your expertise in data science and/or computer science to research and recommend solutions to our technology and business problems. Provide technology leadership to yield innovative differentiating solutions. Develop an understanding of Conversant’s personalization platform and proprietary datasets. Implement and optimize state of the art algorithms in distributed environments. Work with our Engineering teams to integrate your solutions into Conversant’s platform. Participate fully in our collaborative approach to research and applications projects.

DIRECTOR, ANALYTIC SOLUTIONS

ASSOCIATE DIRECTOR, STRATEGIC ACCOUNT ANALYTICS

SENIOR ANALYST, STRATEGIC ACCOUNT ANALYTICS

SENIOR ANALYST, MEDIA ANALYTICS

ASSOCIATE DIRECTOR, AUDIENCE ANALYTICS

ANALYST, STRATEGIC ACCOUNT ANALYTICS

BIG DATA SOLUTIONS ASSOCIATE (NEW GRAD)

ANALYTICS ASSOCIATE (NEW GRAD)

ASSOCIATE DIRECTOR, DECISION SCIENCE

SENIOR DATA SCIENTIST

Load 7 more jobs11 jobs at Conversant

Manager, Data Engineering

Integral Ad Science
Chicago
2 weeks ago
+50
The Data Engineering Manager is part of the Data Engineering Leadership team within the larger R&D organization overseeing the new development of or the enhancement of data pipelines. The successful candidate will lead a team of four to eight data engineers. The Data Engineering team is a core to the success of Integral Ad Science. Over the next few years we will migrate the data platform to the cloud (AWS), move key data pipelines to streaming and modernizing some existing batch pipelines to latest batch processing technologies.

Big Data Engineer-Data Warehouse

Integral Ad Science
Chicago
2 weeks ago
+50
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.

Media Trading Analyst

The Trade Desk
Chicago
2 weeks ago
+36
Become an expert on The Trade Desk platform as well as best practices for campaign management. Assist in combine data analysis and collect client feedback to create optimization strategies and provide solutions for campaigns. Partner with Account Management and Sales Executives to provide support to clients, including onboarding and optimization trainings. Work with Product Management to help define features and drive enhancements to The Trade Desk platform. Understand and communicate The Trade Desk’s value proposition, technology, and partnerships, to help grow clients’ accounts.

Manager of Analytics

Freeosk, Inc.
Chicago
2 weeks ago
+32
- Day-to-Day oversight of Analytics Team; team operating rhythm, team workflow, setting priorities, managing timelines, monitoring documentation, setting expectations with internal and external stakeholders. - Mentor Analysts and Jr. Analysts. - Contribute to growth & development initiatives, including technical skill education. - Act as a sounding board for problem solving. - Collaborate daily/week with other key departments.

Linguist- Contextual Knowledge Associate Engineer

Integral Ad Science
Chicago
2 weeks ago
+49
As a Knowledge Engineer you will work on our proprietary platform for text understanding and analytics. As a member of the Data Science team you will contribute to cutting-edge technologies that help protect advertisers from being linked to unsavory content found all over the internet by classifying online material as brand-unsafe, across channels and formats: open web, mobile apps, walled gardens, video.

Data Engineer

Cooler Screens
Chicago
2 months ago
+21
As the Data Engineer at Cooler Screens, you will design and maintain an enterprise data warehouse platform architecture that structures data for analytical processes to support BI and data integration management, which will be foundational in building out our data processing pipeline. You will be responsible for constructing how we identify, absorb, store, and query data across the Cooler Screens platform that scales to the rising growth of the company.  

Business Intelligence Analyst

Cooler Screens
Chicago
2 months ago
+21
We're looking for a Business Intelligence Analyst with broad technical skills and a deep analytical background to be a part of our Data team. As a member of this team, you will leverage strong data extraction skills to drive reporting deliverables, create ad hoc performance analysis, support business planning, and implement ideas for process improvement.  This is about contemporary and innovative thinking and leading, surrounded by some of the most successful people in business.

Data Pipeline Engineer

EMX Digital
Chicago
2 months ago
+35
Stay current with the latest development best practices and apply your findings with the team. Handle data/API's from client-side and server-side communication to back-end collection, manipulation, and analyzation. Work with diverse array of existing products as well as engineer future data products. Collaborate with front-end engineering teams to implement new features into the platform. Have ownership of the data pipeline stack and availability to support in the event of systems failure. Write clean, modular code that is scalable and secure. Ensure optimal database architecture design, table schema design, and query design. Meet certain performance goals including but not limited to data discrepancies, data availability, data granularity, data latency, data security, pipeline errors, and issue response times. Work with a technology stack that includes AWS services, Python, Bash, SQL, GitHub, and more!

Data + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Data Analyst $67,113
Min: $42K
Max: $150K
Business Analyst $71,468
Min: $35K
Max: $124K
Business Intelligence Analyst $82,859
Min: $45K
Max: $135K
Senior Data Analyst $85,390
Min: $60K
Max: $135K
Senior Business Analyst $93,160
Min: $67K
Max: $130K
Business Intelligence Developer $98,975
Min: $74K
Max: $126K
Data Scientist $107,946
Min: $45K
Max: $155K
Analytics Manager $108,734
Min: $80K
Max: $163K
Data Engineer $114,885
Min: $70K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Data Architect $137,094
Min: $68K
Max: $190K
Senior Data Scientist $137,928
Min: $47K
Max: $215K
Director of Analytics $147,559
Min: $103K
Max: $196K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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