Mid Level Chicago Startup and Tech Jobs

28

Machine Learning Engineer

Stats Perform
Chicago
1 day 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:

Senior Data Scientist

Maven Wave Partners
Chicago
2 days ago
+22
Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. 

Bioinformatics Scientist, Data Operations

Tempus
Chicago
2 days ago
+34
Field questions and requests from internal and external customers - including pharmaceutical clients and research partners - regarding our bioinformatics pipeline. Use SQL, Python, Bash, etc., to retrieve relevant files and data from various bioinformatics databases for data delivery teams.  Engage in cross-functional analysis with various teams within Tempus, including other scientists and clinicians, delivery teams, and operations team management to analyze cancer clinical sequencing data relevant to Partner/Pharma clients and respond to their specific questions. Communicate findings in a clear and logical manner to help stakeholders make scientific decisions based on your data analysis, oftentimes over the phone or at on-site meetings. Produce high quality and detailed documentation for all projects.

Statistical Geneticist

Assay Development Staff Scientist, IVD

Clinical Informatics Integration Analyst

Senior Data & Machine Learning Scientist

Data Warehouse Architect/Modeler

Informatics Data Engineer

Associate, Strategy & Operations - Tempus Life Sciences

Senior Clinical Genomics Scientist

Principal Bioinformatics Scientist

Informatics Scientist - Cardiology AI

Load 7 more jobs11 jobs at Tempus

Information Security - Governance Risk and Complia…

Kalderos
Chicago
2 days ago
+28
The Manager, Information Security Governance, Risk and Compliance is responsible for privacy and information security risk management functions. The Manager provides oversight of Kalderos’ vendor management program, including activities related to risk management, due diligence, contract provisions, vendor reviews, and ongoing monitoring requirements; assures adherence to applicable federal and state regulations; develops and conducts periodic risk assessments; monitors key elements of the vendor management program. The Manager reports directly to the VP, Information Security & Compliance and frequently liaises with the Kalderos leadership team to ensure effective coordination of privacy and security requirements and activities. 

Business Intelligence Lead

Fetch Rewards
Chicago
2 days ago
+29
The Business Intelligence Lead will manage & support multiple client relationships and lead Insight & Analytics of long-term partnerships. The day to day responsibility will include seeking to understand core business objectives of partner companies to find data & analytic solutions within our capabilities. This position will lead as an architect, an analyst, and a storyteller to drive data-actionable insights enabling the execution of unique brand experiences within our platform and ultimately building 1:1 consumer connections for our partners. More specifically you will:

Data Engineer

Fetch Rewards
Chicago
2 days ago
+29
Your focus will be on developing pipeline frameworks, micro-services, and data solutions that can scale to match the company’s growth trajectory. We don't lock ourselves into particular technologies, but some we are currently using include AWS, Snowflake, Python, Spark, Lambda, CloudFormation, Docker, Kinesis, MongoDB, and Tableau. You’ll also get to join a team of talented individuals who will provide you with hands-on mentorship on topics ranging from engineering to DevOps to analytics. Success in this role requires the ability to analyze challenging problems, propose solutions under the guidance of experienced teammates, and implement designs within timeframes that keep up with business needs.

Senior Analyst, Healthcare Analytics

VillageMD
Chicago
3 days ago
+36
In this role, you’ll operate as a cross-market analytical consultant to internal stakeholders on critical imperatives including evaluation of clinical programs across desired outcomes, and analysis supporting risk adjustment activity. VillageMD sits in a unique position with the ability to use medical and pharmacy claims, plus ambulatory electronic medical record (EMR) data. As our organization continues to grow, so do the opportunities to develop your skills and gain exposure to different areas of our business and model of care. This person will be a member of our Central Analytics team with a preferred location of Chicago, Illinois. 

Analytics Warehouse Database Administrator

Network Administrator

Information Architect

Enterprise Data Architect

Load 1 more jobs5 jobs at VillageMD

Data Engineer

SPINS LLC
Chicago
3 days ago
+25
Develop and deploy applications for internal use, primarily within quality and operations teams. Strong emphasis on data pipeline automation for continuous data quality audits and alerts. Pair with (XP) and share best practices with engineering and quality teams. Add to our collection of Jupyter notebooks to use for data quality testing. Improve our current quality processes by finding new ways to automate manual tasks.

Arity-Data Steward Manager

Arity
Chicago
3 days ago
+22
The Data Governance and Quality team works across the Enterprise to manage the strategy, integration and governance of data at Arity. Members of Arity's Data Governance and Quality team have responsibility for ensuring consistency and clarity of our data across our product portfolio. The team works very closely with product partners to convert business needs into data solutions that power our businesses. The Lead Data Steward is responsible for leading a team of Data Stewards that manage and govern core internal and external analytical data for the organization. In this role, you will help establish, train, and execute capabilities that will advance the Data Stewardship program. Through this work you will provide 'fit for use' data to enable timely generation of sound end-to-end business insight by ensuring our data is timely, accurate, complete, and most importantly, 'fit for purpose' for our customers' use cases.

Arity-Hadoop Systems Engineer

Senior Big Data Engineer- Data Warehouse

Integral Ad Science
Chicago
1 week ago
+49
We’re looking for a Senior Data Engineer for our Chicago to join us in building our next generation data processing platform. As part of the platform team you will work in multiple areas including campaign performance measurement and reporting, ad fraud, and botnet detection.

Lead Cybersecurity Corporate Analyst

Discover
North Suburbs
1 week ago
+43
As part of the Business Technology Cybersecurity Exam Management team, you will assist in managing and processing exams directed towards BT Cybersecurity as well as reporting and tracking all findings to closure. This position will work with other BT Cybersecurity teams in ensuring all possible options are considered prior to processing the request, which includes assessing and documenting formal risk. In addition, this position will manage, report metrics with stakeholders. This individual will work closely with all areas of the business and technology including, infrastructure, engineering, architecture, operations and application teams. This role must be able to understand security standards and interpret their applicability to technologies and systems at Discover.

Lead Data Engineer

Lead Data Engineer

Lead Cybersecurity Analyst

Lead Cybersecurity Analyst

Senior Principal Data Strategy Analyst

Principal Data Solutions Architect

Principal Data Governance Consultant

Lead Data Solutions Architect

Load 5 more jobs9 jobs at Discover

Database Administrator

Pareto Intelligence
Chicago
1 week ago
+59
The Ideal candidate is a person that really enjoys working with SQL and SQL Server and has deep experience with both. This person’s time would be a good split between head down writing new code and tuning updating existing logic, researching and implementing new features in SQL Server and other DB technologies, and discussing projects with Data Scientists and other engineers to deploy the right database structure and ETL processes.

Software/Data Engineer - Data Warehouse

Integral Ad Science
Chicago
1 week ago
+49
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.

Data Engineer

Kalderos
Chicago
1 week ago
+28
Kalderos is experiencing a unique rapid scale moment and is seeking several development and engineering roles, including a Data Engineer that will be responsible for building world-class software solutions over a wide variety of warehousing, analytics, machine learning and reporting requirements. The ideal candidate is a leader who has extensive experience in data delivery and decision support technologies, has a strong sense of responsibility to customer concerns and who enjoys working in an environment filled with variety, urgency, and continuous personal and professional growth.

Data Scientist - POS Data

SPINS LLC
Chicago
2 weeks ago
+25
Develop and maintain tools that bridge disparate data sources across the organization to serve data models, dashboards, decision aids, and business case analysis with up-to-date and accurate information. Collaborate with our data scientists on engineering predictive features from our product intelligence database. Prototype, implement, and optimize data new pipelines and architectures that can transform our data to impactful insights. Create robust daily, weekly, or monthly automated processes to deliver impactful work. Create innovative and efficient techniques that better solve the problems we are working on. Assess risks to proposed analytics solutions based on quality of existing data sources and actively develop QA procedures to mitigate those risks. Tailor our syndicated data to retail and CPG business needs in a robust and scalable way. Facilitate knowledge transfer across the business between Product Delivery and Commercial teams.

Technology Coach

Otus
Chicago
3 weeks ago
+44
We are looking for a talented and highly motivated Technology Coach to help bring the best possible software solutions to educators. As an early member of a growing team, you must possess a strong work ethic and be upbeat, driven, intelligent, well-organized, articulate, share a passion for learning new technologies, and thrive in a fun, fast-paced environment. You will have the opportunity to immediately contribute and see the results of your work in use by students, teachers, parents and district administrators across the country. 

Senior Business Intelligence Consultant

Aptitive
Chicago
1 month ago
+37
Provide data and analytics solutions to local clients throughout the Chicagoland area. Learn and work with cutting-edge technologies. Gain knowledge about industries such as; healthcare, retail, insurance, manufacturing, etc. Lead teams to design and architect robust data and analytical solutions for our clients. Work directly with clients to understand and document their business needs and technology requirements. Design, code and test data-centric solutions for clients. Be involved from the beginning to the end of the System Development Life Cycle (SDLC). Mentor and help grow the careers of others. Assist in the sales process and help develop new business. Contribute significantly to the growth of Aptitive and our clients.

Senior Data Engineering Consultant

Aptitive
Chicago
1 month ago
+37
Provide data and analytics solutions to local clients throughout the Chicagoland area. Learn and work with cutting-edge technologies. Gain knowledge about industries such as; healthcare, retail, insurance, manufacturing, etc. Lead teams to design and architect robust data and analytical solutions for our clients. Work directly with clients to understand and document their business needs and technology requirements. Design, code and test data-centric solutions for clients. Be involved from the beginning to the end of the System Development Life Cycle (SDLC). Mentor and help grow the careers of others. Assist in the sales process and help develop new business. Contribute significantly to the growth of Aptitive and our clients.

Cloud Data Engineer

Maven Wave Partners
Chicago
1 month ago
+22
Build and implement complex data solutions in the cloud (AWS, GCP and/or Microsoft). Uncover and recommend remediations for data quality anomalies. Investigate, recommend and implement data ingestion and ETL performance improvements. Document data ingestion and ETL program designs, present findings, conduct peer code reviews. Develop and execute test plans to validate code.

Data Scientist

Maven Wave Partners
Chicago
1 month ago
+22
Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. 

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