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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

FieldValue
CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
TitleData Scientist
Normalized title-
Department / teamData Science & Analysis
LocationUnited States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-03-31 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data Science & Analysis.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
Source907773df-d032-42dc-b60a-978734f5ac21
ATS providerOracle 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 ID39e6891f88ef35e6098f6f890a8f290dba789131
Org ID3ea3b397-9a23-408a-8421-50fd1d902746
Source ID907773df-d032-42dc-b60a-978734f5ac21
Board ID907773df-d032-42dc-b60a-978734f5ac21
Provideroracle_hcm
Provider Job Key12219
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location TextUnited States; EXL - New York
DepartmentData Science & Analysis
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary RawDescription 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 URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12219
Apply URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12219
First Seen At2026-05-31 18:05:11Z
Last Seen At2026-06-06 11:44:11Z
Last Checked At2026-06-06 11:44:11Z
Last Changed At2026-05-31 18:05:11Z
Inactive At
Source Posted At2026-03-31 23:11:57Z
Source Updated At
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