Mid Level Chicago Startup and Tech Jobs

7

Data Scientist

Paylocity
Northwest Suburbs
4 days ago
+50
As a Data Scientist, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

Data Scientist

ActiveCampaign
Chicago
2 weeks ago
+56
Interviewing business teams and brainstorming appropriate (accuracy & effort) data science solutions. Collating existing and new hypothesized data sets for proof of concepts. Statistically exploring data with underlying business processes in mind. Prototyping data science/machine learning models, then polishing later. Building data science products from proof-of-concept to production. Creating solid quant metrics of impact, making them visually accessible. Letting creative ideas rule the day. Don't settle for the first solution, research and dig to the core. Ongoing support of in-production models (change in process, abnormalities, outliers etc.). Presenting data as a story. Promoting data science products company-wide.

Senior Data Scientist

Root Insurance
Chicago
1 month ago
+27
Root is looking for an experienced Senior Data Scientist to help drive the future of our team. This includes taking high-level business challenges, translating them into a concrete, quantitative framework, and shepherding solutions from R&D into production. A Senior Data Scientist is expected to join the team with years of industry or academic experience in directly relevant topics.

Data Scientist, Software & Services

SteelSeries
Chicago
1 month ago
We are looking for a full stack Data Scientist to join our Software & Services team to help develop incredible gaming software products & services. As the foundational member of the team you will build out our core data science function within our Software & Services team, provide cross-functional mentorship around Data Science, and set the direction for our teams. You will work closely with Product, Engineering, and stakeholders to explore our data and unlock insights to power metrics and drive decision making.

Data Scientist

relayr
Chicago
3 months ago
+16
Help Relayr build the world’s most advanced IoT Cloud Platform. Develop and assist in developing internal data processing tools. Design, prototype and refine machine learning algorithms. Research new machine learning methods and publish papers. Design, prototype and collaborate with the backend team in implementing large scale data processing systems for the cloud and edge. Perform ad-hoc data analysis and present results. Prototype and iterate quickly. Engage in architectural discussions. Participate in customer workshops to map business goals to the set of products we are developing.

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

Database Developer

Kalderos
Chicago
6 months ago
+28
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.

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