Time since we first saw it
Day 13
Similar jobs usually come down between day 7 and day 55.
From 9,990 similar postings that came down. Coming down is not always a hire.
Senior Data Scientist
Sofia, Bulgaria
Likely evergreen, first seen by us 13 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingYou will ensure that models and data processes remain accurate, reliable, compliant, and aligned with business and client requirements.
Analyze, process, and document large datasets; select appropriate analytical, machine learning, and data mining techniques to identify useful insights.
Develop and maintain data structures, storage schemes, processing tools, and analytical pipelines.
From the employer’s posting
Job Description The Senior Data Scientist will support the ongoing maintenance, monitoring, and improvement of production analytics and machine learning solutions offered to the clients in North America. You will ensure that models and data processes remain accurate, reliable, compliant, and aligned with business and client requirements. It focuses on operational performance, issue resolution, and continuous improvement of existing solutions. You will report to Director of Data Science and Gen AI.
What you'll do: Analyze, process, and document large datasets; select appropriate analytical, machine learning, and data mining techniques to identify useful insights. Develop and maintain data structures, storage schemes, processing tools, and analytical pipelines.
Analyze, process, and document large datasets; select appropriate analytical, machine learning, and data mining techniques to identify useful insights. Develop and maintain data structures, storage schemes, processing tools, and analytical pipelines. Monitor model performance and stability across use cases; conduct validation, back-testing, and performance reporting.
What you’ll bring
All qualificationsCore experience
- Understanding how and when to apply key analytical approaches including regression analysis, machine learning, AI, deep learning and other advanced modeling approaches to extract and automate insights from data
- Ability to write near-production-level code in at least one general purpose programming language (e.g.
- Understanding of modern technologies in processing of large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g.
Qualification wording
Understanding how and when to apply key analytical approaches including regression analysis, machine learning, AI, deep learning and other advanced modeling approaches to extract and automate insights from data
Ability to write near-production-level code in at least one general purpose programming language (e.g. Python, C++).
Understanding of modern technologies in processing of large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data.
Posting record
Report an errorLikely evergreenReposted 7 times since Jun 3, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 21, 202613 days ago
- Recorded sightings
- 101
- Last seen by us
- Nov 4, 2026
- Reposted
- 7 times since Jun 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Experian is hiring
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Takes jobs down quickly
- 36% of open jobs were reposted
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.
- C++
- Python
- Hadoop
- Spark
Where the posting names them
- Strong grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, Bayesian shrinkage, in-sample vs out-of-sample. Fluency with statistical significance tests and Monte Carlo simulation. - Ability to write near-production-level code in at least one general purpose programming language (e.g. Python, C++). - Understanding of modern technologies in processing of large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data.
- Ability to write near-production-level code in at least one general purpose programming language (e.g. Python, C++). - Understanding of modern technologies in processing of large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data. Additional Information
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Experian posted this job before?
Yes. We’ve followed 9 other Senior Data Scientist jobs there since June 2026. 9 came down, usually after about 11 days.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Description
The Senior Data Scientist will support the ongoing maintenance, monitoring, and improvement of production analytics and machine learning solutions offered to the clients in North America. You will ensure that models and data processes remain accurate, reliable, compliant, and aligned with business and client requirements. It focuses on operational performance, issue resolution, and continuous improvement of existing solutions.
You will report to Director of Data Science and Gen AI.
What you'll do:
- Analyze, process, and document large datasets; select appropriate analytical, machine learning, and data mining techniques to identify useful insights.
- Develop and maintain data structures, storage schemes, processing tools, and analytical pipelines.
- Monitor model performance and stability across use cases; conduct validation, back-testing, and performance reporting.
- Investigate data and model issues, identify root causes, and implement corrective actions or model updates.
- Maintain documentation, version control, audit trails, and data quality practices in support of governance and compliance requirements.
- Assess model outputs, conduct ROI and benefit analyses, and present findings on model performance and analytical processes, develop best practices and business assumptions that support reliable solutions and consistent model performance.
Qualifications
What we're looking for:
- Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
- Understanding how and when to apply key analytical approaches including regression analysis, machine learning, AI, deep learning and other advanced modeling approaches to extract and automate insights from data
- Strong grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, Bayesian shrinkage, in-sample vs out-of-sample. Fluency with statistical significance tests and Monte Carlo simulation.
- Ability to write near-production-level code in at least one general purpose programming language (e.g. Python, C++).
- Understanding of modern technologies in processing of large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data.
Additional Information
What you'll get:
- Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
- Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
- Opportunity for Flexible working hours and Home Office.
Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
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
Sofia, Bulgaria
Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Hybrid Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.