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.
As a Senior Data Scientist at Arity, you will help lead the use of data to drive decisions at scale. You will collaborate with product owners, data & software engineers, and designers to develop and deploy robust, scalable services that enhance our understanding of user mobility. You will create new ways of finding meaning from our unique combination of driving and mobility data along with insurance, shared mobility, and mobile app data that help us understand transportation and the risk of behaviors on the road. You will also help shape and grow our culture we have worked hard to establish – promoting recognition of good work, continuous learning, winning together, and having fun along the way.
At VillageMD, we are committed to helping patients achieve greater health by delivering the most effective, accessible and efficient healthcare in the world through partnership with primary care physicians. We're in a unique position to impact everyone in primary care from independent, family- owned practices to world-class health systems. Our analytics team is central to our model of care and leverages data to derive advanced analytical insights from multiple data sources to drive business decisions. As a Senior Data Scientist at our organization, you will partner with our business leaders to provide analytical solutions to complex problems.
Our Sr. Data Scientists are key contributors to the development of Zoro’s customer, product, eCommerce, and pricing plans. The Data Science team covers a broad scope of projects including customer segmentation, A/B testing, marketing investment optimization, predictive modeling, promotion forecasting, and pricing analysis. We are closely integrated with our business leaders and support their ability to make critical decisions. At Zoro, you will be challenged by new questions every day.
We are looking for a Statistical Machine Learning expert to be a member of our Quantitative Research team. You will be using large data sets to create trading strategies, improve trading, quantitative research and data mining. This work will be challenging, fast-paced, and competitive. You will collaborate with quants and traders to develop and improve trading strategies.
As a Senior Manager on the Data Science team, you will be responsible for leading and inspiring a world-class group of over twenty data scientists, data analytics engineers and business analytics consultants spread across several product development teams. You will empower data scientists to detect sophisticated driving behaviors on the edge, enrich driving routes with meaningful attributes, and develop an in-depth understanding of users' mobility patterns. You will help us recruit and lead top talent and have a key voice in the analytics operations at Arity. This includes deploying models to mobile and cloud platforms. You will also help create and support our business strategy by being a strong voice of the customer from an analytics lens.
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.
As a summer intern, you will work on multiple ML, statistics, and data engineering projects using our cutting-edge cluster computing technology and A/B testing environments. You will perform huge data analysis on our algorithms, and have the opportunity to propose actionable changes to fully automated trading systems. You will gain experience with options pricing and equities trading strategies while learning how we approach significance testing, parameter tuning, outlier analysis, and algorithmic optimizations. Our team oversees thousands of data sources and the algorithms that convert these data into actionable insights for our trading strategies. Wolverine provides classroom education, hands-on training, and mock trading. Wolverine also provides fully furnished apartments that are located close to the office, making your morning commute quick and easy. Additionally, Wolverine will host several social activities throughout the summer to ensure an optimal work-life balance.
We are looking for highly skilled and experienced individuals to join a research effort focused on generating high frequency trading alphas in the futures markets. The ideal candidate has direct experience in the alpha research process and understands the workflow from idea generation to production implementation. This opportunity will provide the right candidate the chance to have a large impact on the direction and productivity of a newly formed effort within a successful proprietary trading firm.
Amount is seeking a Data Scientist with experience developing and implementing machine learning models into production environments. You will be responsible for training, validating and monitoring models built to enhance Amount’s fraud and verification tools. The models you work on will be a critical component of Amount’s product offering, helping our partners to confidently originate billions of dollars annually in credit products.
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.
Applies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.
Statistical analysis and data mining are in high demand, so whether you're a data scientist or analyst, these cool Chicago tech companies are looking for you. All of the companies on our list have at least three open jobs in our data/analytics category.