Mid Level Chicago Startup and Tech Jobs

21

Machine Learning Engineer

Stats Perform
Chicago
1 week 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
1 week 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. 

Business Intelligence Lead

Fetch Rewards
Chicago
1 week 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
1 week 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.

Data Engineer

SPINS LLC
Chicago
1 week 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.

Senior Big Data Engineer- Data Warehouse

Integral Ad Science
Chicago
2 weeks 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.

BI Analyst

project44
Chicago
2 weeks ago
+39
 We are looking for a Business Intelligence Analyst with experience in data analytics and metrics optimization. We are interested in furthering our data collection and analysis practices, you will be responsible for coming up embedded analytics for our customers.   

Database Administrator

Pareto Intelligence
Chicago
2 weeks 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 Engineer (Big Data)

Integral Ad Science
Chicago
2 weeks 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.

Informatica Developer

Shipwell
Chicago
2 weeks ago
+38
Provide insight into & develop database solutions to store and retrieve a wealth of data from the supply chain market, we currently collect more than 1B rows of vehicle location data/month. Work with the data science team to architect the market data used with machine learning algorithms. Define ETL processes for warehousing production data used to provide business analytics for our customers.  Keep team informed of developments and direction in data technologies. Define security and backup procedures. Develop database design and architecture documentation.

Data Scientist - POS Data

SPINS LLC
Chicago
3 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.

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
2 months 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
2 months 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. 

Data Engineer

Legal & General Investment Management America
Chicago
2 months ago
+26
As a Data Engineer you will be joining a motivated team of professionals working to design and build solutions for entire breath of the firm, including Portfolio Managers, Analysts, Quants, Marketing, Compliance and Operations. You will gain exposure to a variety of partners at all levels, from Senior Technology leaders to Senior Business partners. In addition, you will obtain exposure and experience in the latest technologies. We are adopting a wide array of technology and approaches from some of the most proven Open Source projects to tried-and-true enterprise platforms.

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.

Data and Analytics Staff Consultant

Analytics8
Chicago
6 months ago
+17
Strong knowledge of BI/DW development methodologies, dimensional modeling, standards and procedures. Intermediate level SQL experience. Significant Experience in one or more of the following toolsets: Data Integration Tools (ETL), Business Intelligence Products, and Data Visualization Tools. Design and implement effective test cases. Develop complex business logic using advanced tools to transform and cleanse data. Create industry standard technical artifacts for project delivery. Experience with an industry data modeling tool Industry Relevant Certification(s). Basic understanding of network and system architecture. Contribute to high quality project documentation and other project artifacts. Scrutinize functional requirements, specifications and source to target mapping documents, identifying underspecified requirements and other design challenges.

Client Advisory Associate - Mid Level

Pareto Intelligence
Chicago
6 months ago
+59
The Client Advisory Associate will focus on creating and executing on innovative product / solution ideas ­ with a relentless focus serving our Client’s and being business experts in the areas our solutions support. Candidates need to bring strong, strategic thinking with the right mix of communication, collaboration, analytical and leadership skills. Candidates will manage day-to-day Client relationships and operate as an extension of their team as a strategic advisor. In addition, this person will contribute to Pareto’s success in retaining and growing Client accounts and relationships. This person will report to the Client Advisory Manager and will collaborate with all members of the Client Advisory Team, as well as other areas of the organization.

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 + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Junior Data Analyst $47,750
Min: $36K
Max: $63K
Data Analyst $68,835
Min: $42K
Max: $150K
Junior Business Analyst $72,000
Min: $72K
Max: $72K
Business Analyst $73,419
Min: $35K
Max: $180K
Business Intelligence Analyst $83,996
Min: $45K
Max: $135K
Senior Data Analyst $85,202
Min: $60K
Max: $135K
Business Intelligence Developer $94,680
Min: $70K
Max: $126K
Senior Business Analyst $95,319
Min: $67K
Max: $135K
Junior Data Scientist $106,000
Min: $106K
Max: $106K
Analytics Manager $110,843
Min: $80K
Max: $163K
Data Scientist $111,103
Min: $45K
Max: $155K
Data Engineer $117,450
Min: $65K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Senior Data Engineer $134,000
Min: $120K
Max: $162K
Senior Data Scientist $137,939
Min: $47K
Max: $215K
Data Architect $140,182
Min: $68K
Max: $190K
Database Administrator $142,800
Min: $130K
Max: $166K
Director of Analytics $146,241
Min: $103K
Max: $196K
Data Engineering Manager $196,000
Min: $182K
Max: $210K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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