Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Executive Recruiter
Description
The Data Scientist II will play a crucial role in developing advanced analytical solutions tailored for clients in a manufacturing environment. This position involves leveraging advanced data analysis skills to generate insights and prepare complex data analyses, which help in addressing significant client challenges. You will serve as an analytics translator, effectively communicating complex data requirements between business and IT stakeholders. Ideal candidates will possess a robust understanding of the design and development process for data analytics tools and have experience collaborating with data engineers.
Company Culture and Environment
The company promotes a collaborative and innovative work environment where data-driven decision-making is at the forefront. Team members are encouraged to engage in greenfield projects, paving the way for creative solutions in a vibrant tech landscape.
Career Growth and Development Opportunities
This position provides opportunities for professional development through engaging in cutting-edge AI initiatives and collaboration with a dedicated team. The role is designed to challenge your skills and support growth within the emerging fields of data science and analytics.
Detailed Benefits and Perks
- Comprehensive suite of benefits after a qualification period, including health, vision, dental, life, and disability insurance.
- Flexible remote work arrangement with no onsite expectations.
Compensation and Benefits
- Pay Rate: $80-85/hour W2.
Why you should apply for this position today
Joining this role offers an exciting opportunity to be part of a transformative project within the manufacturing sector, contributing to impactful insights through advanced analytics. You will work with a dynamic team and have the chance to influence key decisions with your analytical expertise.
Skills
- Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.).
- Experience with large datasets and relational databases (SQL).
- Familiarity with additional programming languages (Python, C++, Java) is a plus.
- General experience with LLM and chatbot integrations, as well as prompt engineering.
Responsibilities
- Build bespoke advanced analytical solutions for clients.
- Create innovative approaches to answer client questions through data analysis.
- Prepare complex data analyses and models that drive measurable impact.
- Communicate complex data requirements between business and IT stakeholders.
Qualifications
- 3-6 years of experience in data science or analytics.
- Strong understanding of design and development processes for data analytics tools.
Education Requirements
- Bachelor’s degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or a related field required.
- Advanced degree is a strong plus.
Education Requirements Credential Category
- Bachelor’s degree in a quantitative field.
Experience Requirements
- Minimum of 3-6 years of experience with statistical and data mining techniques.
- Experience in working with large datasets and relational databases.
Why work in Chicago, IL
Chicago offers a rich blend of cultural diversity, a strong economy, and a vibrant tech community. Living in Chicago provides access to numerous professional networking opportunities, world-class dining, and a plethora of cultural institutions, making it an attractive location for both personal and professional growth.
Source: Executive Recruiter careers