Senior Data Scientist
Hczw Open At a glance
Senior Data Science role at Hczw. Wilmington · full-time · no salary stated · we estimate $148,247–$205,000 across the United States.
Hczw has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build data integrations and safeguards that keep information accurate, consistent and complete
- Tune SQL and transformation logic, document data flows, and improve pipeline reliability
- Create predictive models for forecasting, segmentation and optimization, then test their accuracy and business relevance
- Turn stakeholder needs into scalable solutions and prepare structured datasets for analysts and business teams
- Put analytics and machine learning outputs into BI workflows and support their ongoing operation
What you bring
- At least five years working in data engineering, BI development or analytics engineering
- A bachelor's degree and experience supporting enterprise BI platforms and predictive analytics
- Hands-on work with Oracle, Microsoft SQL, R, Python and data modeling
- Strong SQL tuning experience, with knowledge of data pipelines and ETL or ELT technologies
Who this fits
This role suits a senior data professional who can work across data engineering, BI and predictive modeling, both independently and with teams. The schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., with hybrid work in Wilmington or at a CSC location in the eastern or central time zone. H-1B transfers may be considered; other current or future employment sponsorship is unavailable.
From the employer
Business Intelligence Senior Data Scientist
Wilmington, DE- HQ or Any CSC location in eastern or central time zone
Monday-Friday 8:00 am to 5:00 pm
Hybrid
A Business Intelligence Senior Data Scientist develops advanced analytics and machine learning models, and maintains efficient data pipelines, reporting systems, DataOps practices for CI/CD of pipelines and BI infrastructure. Collaborate with analysts and business partners to deliver scalable solutions that support analytics, reporting, and data-driven decision making. 5+ years of experience in data engineering, BI development, or analytics engineering.
Some of the things you will be doing:
- Implement data integration solutions for various data sources, ensuring data accuracy, consistency and completeness
- Develop data quality, reconciliation and error handling frameworks to ensure data integrity
- Optimize SQL and data transformation logic for performance and scalability
- Document data flows, transformations and dependencies
- Drive best practices in coding, testing and identify opportunities to improve processes and system reliability
- Collaborate with business stakeholders to understand data requirements and translate them to scalable solutions.
- Support analysts and business teams by delivering clean, structured datasets ready for visualization
- Build predictive and statistical models to support forecasting, segmentation, and optimization
- Implement Machine Learning and AI into Business Intelligence processes
- Validate, test, and refine models to ensure accuracy and business relevance.
- Analyze large, complex datasets to identify trends, patterns, and business opportunities
- Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions
- Understanding and knowledge of metadata management and data logs
What technical skills, experience and qualifications do you need?
- Bachelor's degree
- 5+ years of work experience
- Experience supporting enterprise BI Platform & Predictive analytics
- Experience in database technologies Oracle and Microsoft SQL
- Extensive experience with R & Python and data modeling concepts
- Understanding of data pipeline and ETL/ELT technologies
- Understanding of next-gen technologies (Databricks, Snowflake, Microsoft fabric).
- Proven experience in SQL performance tuning and recommend improvements for automation and maintainability.
- Excellent understanding of data visualization concepts to support dashboards and reports
- Ability to work both independently and in a team-oriented, collaborative environment
- Strong problem solving and analytical thinking skills
- Flexible and adaptable with respect to learning and understanding new technologies
- Ability to effectively prioritize and execute tasks in a high-pressure environment
- Excellent communication and interpersonal skills
- Detail-oriented with a focus on quality and accuracy
- Experience working in Agile/Scrum environments, participating in sprint planning, standups, reviews and retrospectives
- Preferred - Experience working with cloud platforms such as Azure or AWS
- Preferred - Experience in Alteryx is an added advantage
Candidates eligible for H-1B transfer may be considered; however, this role is not eligible for other forms of current or future employment sponsorship.
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