Website Diversified Technology, Inc.
Diversified Technology, Inc.
Company : Diversified Technology, Inc.
WHO WE ARE:
Founded in 2007, DTI (Diversified Technology, Inc.) is a successful African American owned IT Consulting/Staffing firm based in Chicago's Loop.
WHAT WE DO:
We focus on providing delivery, staffing, and supported services such as enterprise integration/implementations including, but not limited to, CRM, EAM, ERP, PMO, and QA. We service clients in SLED (state/local gov't & education), financial services, fortune, public utility, as well as regularly partnering with Big 4 SI partners.
Description:
The services You will provide the Client project team:As a Data Scientist Contractor, you will analyze complex data sets to extract meaningful insights and support data-driven decision-making.Collect, process, and analyze large datasets to identify trends, patterns, and insights.Develop and implement machine learning models and algorithms to solve business problems.Create data visualizations and dashboards to communicate findings to stakeholders.Collaborate with project teams to understand data requirements and deliver relevant analytical solutions.Ensure data accuracy and integrity by performing data validation and quality checks.
Primary Skill Required for the Role: SQL
Level Required for Primary Skill: Advanced (6-9 years experience)
- We're looking for someone to be present in the Cupertino office (min three days a week – Tues, Wed, Thur)
- Data Scientist
- Proficient in SQL (knowledge of PySpark will be excellent) Can do basic modeling (Regression, Decision Tree, Clustering) Understands the business and is business-facing
Please click on the link below for our company benefits
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DTI is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, gender identity, sexual orientation, national origin, ancestry, age, disability, marital status, veteran status, or any other protected characteristic under Illinois state or federal law. All qualified applicants are encouraged to apply, and employment decisions are based solely on merit, qualifications, and business needs.