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Data Scientist
Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · United States; EXL - New York · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Title | Data Scientist |
| Normalized title | - |
| Department / team | Data Science & Analysis |
| Location | United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-03-31 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data Science & Analysis. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Source | 907773df-d032-42dc-b60a-978734f5ac21 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
EXL is looking for a Data Scientist who will play a crucial role in providing analytics and data science support to a client within our Sports, Media and Entertainment practice. The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work with a dynamic team and will have true ownership and impact over developing analytics solutions and data products for the stakeholders.
Responsibilities
Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions.
Design and build end to end machine learning solutions and statistical frameworks across fan behavior.
Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning
Lead recurring analytical programs with a focus on reproducibility and automation.
Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products.
Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making.
Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions.
Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact.
Contribute to the continuous improvement of analytics processes and methodologies.
Qualifications
Core Skills (Required):
Bachelor’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
2+ years of hands-on experience in a data science role with a track record of shipping models into production.
Extremely proficient in SQL for robust data extraction and analysis.
Strong programming skills in Python.
Familiarity with Git and code/data version control.
Solid statistical foundation
Exposure to NLP techniques for processing unstructured survey data.
Excellent communication, problem-solving, and critical thinking skills.
Self-started and willingness to take on challenging initiatives
Effective time management and attention to detail
Familiarity with MLOps concepts
Qualifications (Preferred):
Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics).
Industry experience in Sports or Media.
Familiarity with additional data analysis and visualization tools.
Advanced statistical analysis and modeling skills.
Familiarity with data science governance practices
Full job record
| Job ID | 39e6891f88ef35e6098f6f890a8f290dba789131 |
| Org ID | 3ea3b397-9a23-408a-8421-50fd1d902746 |
| Source ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Board ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Provider | oracle_hcm |
| Provider Job Key | 12219 |
| Title | Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States; EXL - New York |
| Department | Data Science & Analysis |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description EXL is looking for a Data Scientist who will play a crucial role in providing analytics and data science support to a client within our Sports, Media and Entertainment practice. The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work with a dynamic team and will have true ownership and impact over developing analytics solutions and data products for the stakeholders. Responsibilities Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions. Design and build end to end machine learning solutions and statistical frameworks across fan behavior. Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning Lead recurring analytical programs with a focus on reproducibility and automation. Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products. Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making. Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions. Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact. Contribute to the continuous improvement of analytics processes and methodologies. Qualifications Core Skills (Required): Bachelor’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas 2+ years of hands-on experience in a data science role with a track record of shipping models into production. Extremely proficient in SQL for robust data extraction and analysis. Strong programming skills in Python. Familiarity with Git and code/data version control. Solid statistical foundation Exposure to NLP techniques for processing unstructured survey data. Excellent communication, problem-solving, and critical thinking skills. Self-started and willingness to take on challenging initiatives Effective time management and attention to detail Familiarity with MLOps concepts Qualifications (Preferred): Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics). Industry experience in Sports or Media. Familiarity with additional data analysis and visualization tools. Advanced statistical analysis and modeling skills. Familiarity with data science governance practices |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12219 |
| Apply URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12219 |
| First Seen At | 2026-05-31 18:05:11Z |
| Last Seen At | 2026-06-06 11:44:11Z |
| Last Checked At | 2026-06-06 11:44:11Z |
| Last Changed At | 2026-05-31 18:05:11Z |
| Inactive At | — |
| Source Posted At | 2026-03-31 23:11:57Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com|cx_2/date=2026-06-06/2026-06-06T11-42-28-116Z-9f6f0c60410cbd3bee6b0a060a8e65cb535d3b1d1066f0984f31827798e22ea6.json |
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