Chicago Tech Jobs and Startup Jobs

17

Data Science Engineer

CCC
Chicago
9 hours ago
+32
This role is part of a team that manages the entire end to end life cycle for a data science product development and delivery. As part of the data science team he/she will be working on the state of art algorithms from diverse fields such as AI, deep learning, NLP and computer vision. He/she will work with other vision scientists and architects to deliver AI driven technology and solutions, while seeking creating ways to streamline processing. He/she will be designing and performing experiments using scientific approach to compare hypothesis, generate insights and ensure the solution meets the target metrics specified by business requirements. The Data Science Engineer will add value by participating in different activities which includes data collection, data preparation, evaluation of model, statistical analysis and optimization techniques. He/she will also be responsible for transformation of research model/code into a production ready solution and perform testing to ensure quality metrics This is a fantastic opportunity to work on a Data Science team with master’s and PhD-level professionals and to gain more exposure to a Data Science practice.

ISG Operations Analyst

R&D Engineer, Computer Vision

OEM Data Analyst

Data Architect

Oracle Developer

Load 2 more jobs6 jobs at CCC

Sr. Data Scientist

Augmented Intelligence
Chicago
1 day ago
ABOUT AUGMENTED INTELLIGENCE: Augmented Intelligence seeks to transform the social services sector by unlocking the power of artificial intelligence and natural language processing (NLP) to improve operations and practice, drive quality improvements, and help social services agencies more effectively partner with healthcare systems to improve the wellbeing of their communities. JOB SUMMARY: We are looking for a senior data scientist to join our

Lead Data Scientist

Quantium
Chicago
6 days ago
+31
We find that each of our Lead Data Scientists bring their own unique skills and experience to shape their role and we’d be excited to explore that further with you. As a general overview, you will likely lead a project team of data scientists (between 3 to 6 people) and will have accountability and ownership of one or more parts of the technical solution design and overall technical delivery. These will typically be end-to-end data science solutions, including deploying complex models that underpin decision-engines our clients will deploy. You may also be working closely with our clients to scope new project opportunities and foster strategic, positive relationships. As a people manager and a leader within the team, you will also play a key role in driving overall team standards, positive morale and a positive, engaged culture.

Data Scientist/AI Scientist

Stats Perform
Chicago
1 week 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.

Senior Data Scientist

Quantium
Chicago
2 weeks ago
+31
Your role will likely change and grow as we continue to grow, and we wouldn't want you to feel pigeon-holed either. As a quick overview for now - you will be working in a team to develop end-to-end data science solutions for our clients, deploying complex models and decision-making engines into their everyday business processes. You will also bring your strong technical, commercial and client facing capabilities to play a leadership role with both clients and junior team members.

Lead Data Scientist

Quantium
Chicago
2 weeks ago
+31
We find that each of our Lead Data Scientists bring their own unique skills and experience to shape their role and we’d be excited to explore that further with you. As a general overview, you will likely lead a project team of data scientists (between 3 to 6 people) and will have accountability and ownership of one or more parts of the technical solution design and overall technical delivery. These will typically be end-to-end data science solutions, including deploying complex models that underpin decision-engines our clients will deploy. You may also be working closely with our clients to scope new project opportunities and foster strategic, positive relationships. As a people manager and a leader within the team, you will also play a key role in driving overall team standards, positive morale and a positive, engaged culture.

Data Scientist

GreenKey Technologies (GK)
Chicago
2 weeks ago
+13
GreenKey is currently hiring data scientists to lead the development of ground-breaking technologies in the field of speech recognition & natural language processing (NLP) for the financial markets. As a GreenKey Data Scientist, you have influence on our overall NLP strategy by helping define product features, build machine-learning models, drive system architecture decisions, and spearhead industry-best practices. GreenKey Data Scientists have direct lines of communication with clients to have a tight feedback loop between customer problems and machine learning solutions

Data Architect

10th Magnitude
Chicago
3 weeks ago
+18
A Data Architect drives high priority customer initiatives, leveraging Azure data services to solve the biggest and most complex data challenges faced by 10th Magnitude’s enterprise customers. The Data Architect is a customer facing role, accountable for the end-to-end customer deployment and usage for solutions focused around Azure data services. This person will own the entire technical customer engagement including: architectural design sessions, implementation projects and/or Proofs of Concepts, production code development and reviews. The ideal candidate will have experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives and will also be able to be hands-on to show the depth of their experience and expertise. 

Business Solution Analyst - Business Intake &…

iManage
Chicago
3 weeks ago
+32
Our Business Solution Analysts are responsible for defining and delivering our iManage Business Intake and Conflicts Manager products to our clients. You will discover and document business requirements and translate those requirements into technical solutions and related specifications. You will be a part of a dynamic team and help shape the way our team will continue to grow. Our Business Solution Analysts provide billable solution analysis and project management work to continue to enhance our customer relationships. We’re looking for individuals that are hungry to learn and want to become a subject matter expert within our iManage Business Intake and Conflicts Manager product space. If this sounds like you, see below for more of what you can expect!

Senior Technical Solution Analyst - Business Intake & Conflicts Manager

Junior Data Engineer

KAR Global
Chicago
4 weeks ago
+26
Work with product, data science, analytics, and engineering teams to learn project data needs and define project scope. Design and planning of data services solutions on the DRIVIN DAAS Platform. Building and delivery of Python/Docker feed framework data pipeline jobs and services. Contribute to the Data Engineering team delivery framework including building of re-usable code, implementing industry best practices, and maintain a common delivery framework. Monitoring, maintenance, documentation, and incident resolution of scheduled production data jobs supporting internal and external customers data needs.

Senior Data Analyst

KAR Global
Chicago
1 month ago
+26
As an analyst on the Reporting & Analytics team, you will help communicate product success through the design and dissemination of product performance to internal and external stakeholders. You will build data visualization to support our reporting and dashboards, as well as provide support to our data focused products; and analyze user behavior across our product portfolio. 

Senior Data Scientist, NLP

Ascent
Chicago
1 month ago
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
1 month ago
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.

Business Intelligence Lead

Ascent
Chicago
1 month ago
You have experience in Business Intelligence and analytics, and you understand how important operational metrics and reports are to making good business decisions. You know how to use SQL and other analytics tools to extract data from different databases, you’re able to contextualize these datasets by understanding the business processes behind them, and you appreciate the value of well-designed dashboards that tell the story behind the data. Additionally, you’re able to put together a broader business intelligence program, including planning proactively for future growth and building our analytics capabilities that will serve as the foundation for our decision-making. You’re good at collaborating with other teams and with our data engineers, and take pride in building high-quality analytics capabilities. You’re comfortable in a start-up environment where taking initiative is key, and you thrive on ambiguous situations with competing priorities where you can make a large positive impact.

Senior Data Engineer

Ascent
Chicago
2 months ago
As a Senior Data Engineer at Ascent, you will be working closely with other Engineers and Data Scientists to design and build infrastructure that a) ingests and handles 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. Given the increased responsibility at the Senior level, you will play a strong role in designing this infrastructure, thinking about the long-term implications of design decisions, as well as hiring and mentoring more junior engineers. We use both hosted solutions and open source tools. We have a strong bias towards containerization and internal transparency. We also place a high premium on our culture and values, both within the tech team and the company as a whole. We believe a diversity of opinions and perspectives creates a stronger team and product, and we are committed to an equal opportunity hiring process.

Data Engineer

Strong Analytics
Chicago
3 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
3 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
Data Analyst $67,994
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 $107,446
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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