Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,159 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist
Reads like a Data Engineer role: pipelines and data infrastructure.
Wilmington, DE, United States
Open 6 months, first seen by us 182 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Hybrid — work setting source
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.
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
however, this role is not eligible for other forms of current or future employment sponsorship
What you’ll work on
Full postingImplement data integration solutions across multiple data sources
Build predictive and statistical models for forecasting and segmentation
Optimize SQL and data transformation logic for performance
Develop data quality and error handling frameworks
Document data flows, transformations and dependencies
From the employer’s posting
Implement data integration solutions for various data sources
Build predictive and statistical models to support forecasting, segmentation, and optimization
Optimize SQL and data transformation logic for performance and scalability
Develop data quality, reconciliation and error handling frameworks to ensure data integrity
Document data flows, transformations and dependencies
What you’ll bring
All qualificationsCore experience
- 5+ years in data engineering, BI development, or analytics engineering
- Bachelor's degree
- Extensive experience with R and Python and data modeling concepts
- Experience with Oracle and Microsoft SQL database technologies
- Proven SQL performance tuning experience
Qualification wording
5+ years of experience in data engineering, BI development, or analytics engineering
Bachelor's degree
Extensive experience with R & Python and data modeling concepts
Experience in database technologies Oracle and Microsoft SQL
Proven experience in SQL performance tuning and recommend improvements for automation and maintainability
Education & alternatives
What technical skills, experience and qualifications do you need? - Bachelor's degree - 5+ years of work experience
Posting record
Report an errorOpen 6 monthsWe first saw this posting 182 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 9, 2026182 days ago
- Recorded sightings
- 299
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 182
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past CSC’s usual: its jobs come down by about day 42.
From 11,517 similar postings that came down, and 18 of CSC’s. Coming down is not always a hire.
CSC is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- AWS
- Azure
- Databricks
- Oracle
- Snowflake
Where the posting names them
- 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
- 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
- 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 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
- 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
- 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.
Your next step
Complete your application on hczw.fa.us2.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
#LI-AM1
#SeniorDataScientistjobs
#Hybrid
#CSCCareers
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Wilmington, DE, United States
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.
More source context
#SeniorDataScientistjobs #Hybrid #CSCCareers
- Work authorization
- 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. #LI-AM1