Chicago Tech Jobs and Startup Jobs

15

Manager - Machine Learning

Stats Perform
Chicago
3 days ago
+24
We are looking for a Manager of Machine Learning Engineering to lead our team of accomplished ML engineers to build world-class machine learning platform solutions. You will be responsible for empowering data scientists and AI scientists by providing a collection of industry-strength platform services to greatly improve scientists productivity and facilitate innovation. Your responsibilities include, but not limited to:

Machine Learning Engineer

Stats Perform
Chicago
3 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:

Business Rules Technical Consultant

CCC Information Services
Chicago
4 days ago
+39
The Configurable Technical Consultant is primarily responsible for translating business requirements into technical rules for implementation (configurable and PMOI). This involves assisting with the workflow design and collaborating with the sales account teams and customers in some cases. In addition, the candidate should understand how to problem solve to identify possible technical issues with the rules and assist in solutioning. This individual will also be able to consult on our capabilities and how to best leverage our capabilities to drive customer efficiencies. This individual will demonstrate an understanding of logic, testing and have computer expertise.

SQL Engineer

Data Scientist/AI Scientist

Stats Perform
Chicago
5 days 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.

Engineering Manager - Data

DataCubes Inc.
Northwest Suburbs
6 days ago
+25
As an Engineering Manager, you will work closely with technical leads and product managers to lead a team delivering the best solutions for our customers. You will develop a deep understanding of the people, technologies, and practices of your team, and apply your expertise to planning, prioritization, and execution. You will support the self-development and career growth of individuals, as well as foster a supportive, inclusive, and collaborative environment in which people do their best work.

Part-Time Sports Data Specialist

Stats Perform
Chicago
1 week ago
+24
Review football film and chart plays, with data including formations, defensive targets, coverages, etc. Communicate with a team of football analysts to ensure data collection is as uniform and consistent as possible from game to game. Break down game film at a fast pace.

Senior Accountant

Green Thumb Industries (GTI)
Chicago
1 week ago
+23
As a Senior Accountant at GTI, you will be responsible for supporting Accounting operations on our Finance team. There are complexities to reviewing the P&L and Balance Sheet for our markets and it’s imperative that you understand all components from start to finish. You possess strong business acumen with the ability to effectively address both financial and operational challenges. Most importantly, you must be able to thrive in a fast-paced, start-up culture such as GTI.

Director, Business Intelligence

Green Thumb Industries (GTI)
Chicago
2 weeks ago
+23
As the Business Intelligence Director, you will be responsible for driving BI strategy for a fast-growing cannabis startup, developing and implementing the BI tools & programs that move and translate data used to inform GTI’s decision-making. The BI Director collaborates across all levels – from the C-Suite to the operational levels to define and understand data and reporting needs and propose BI, Data and Reporting services and solutions. You will oversee the design, developments and delivery of attractive and easy to use reports, dashboards and self-service BI and analytics capabilities. In addition, the Business Intelligence Director serves as the Manager for BI programming staff and BI analysts within the team. If you are a proven leader with a passion for taking raw data noise and turning it into critical business insights & meaningful, actionable recommendations – come be our Data Hero! 

VP, Data Science

Quantium
Chicago
1 month ago
+30
As a VP, Data Science, you will be leading our key client relationships, developing our data science teams and managing complex projects to deliver meaningful value through high value consulting and emerging and mature product solutions. This role will see you working on extremely tough predictive modeling / data science problems with real world demand drivers and in turn real world impact. If you are excited about the challenge of partnering with our biggest clients to develop new proof of concepts and transition them into complex solutions that scale, we would love to hear from you.

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.

Strategic Finance Manager

KPI Sense
Chicago
2 months ago
As an early employee at KPI Sense, you will primarily be responsible for the delivery of our solution to clients. Key tasks would include financial modeling, creating FP&A reporting, and working directly with clients on active engagements. While client delivery will be a key component of the role out of the gates, we envision this individual being extremely valuable to the business moving forward, ultimately wearing many hats and being involved in various cross-functional initiatives

Lead Data Scientist

Quantium
Chicago
4 months ago
+30
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
4 months 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 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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