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Data Science Analyst I

Ejko Dev5 Fa Us2 Oraclecloud Com CX 3 · Detroit, MI, United States; BCBSM Tower, Detroit, MI, US · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEjko Dev5 Fa Us2 Oraclecloud Com CX 3
TitleData Science Analyst I
Normalized title-
Department / teamMiscellaneous
LocationDetroit, MI, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-03-20 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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Linked records

CompanyEjko Dev5 Fa Us2 Oraclecloud Com CX 3
Source4406247d-ed9c-4711-a8b2-64ecfc1a96ad
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Departmental Preferences: Basic ability to use generative AI tools (e.g., AI coding assistants, chat-based models) to enhance software development workflows, automate routine tasks, and improve overall analytic and documentation productivity while adhering to established engineering best practices. Ability to follow corporate generative AI policies and team guidelines, including thoroughly reviewing, validating, and understanding AI‑generated content for accuracy, bias, compliance, and appropriate use before incorporating it into code, analyses, or business deliverables With significant supervision, responsible for conducting data discovery and data analysis. Develop moderately complex algorithms, solve complex business issues using statistical, algorithmic, mining and visualization techniques, most notably machine and algorithms. Work under the supervision of the project technical lead to develop components within the advanced analytics solution for complex business problems. Perform data querying, processing, and manipulation of data sets using state of the art data processing and analytics software. Through data mining techniques, discover data patterns, generate insights, and derive inferences that drive decisions that will generate additional hypotheses, optimize business objectives, and help scope the advanced analytics assets. Support the successful design, development, and implementation of advanced analytics through data mining, machine learning, and descriptive and/or predictive model building using state of the art analytics software, e.g., Python. Produce statistical analyses and data visualizations using tools such as Tableau. Communicate analytic insights to technical team lead to ensure models are well understood. Take part in training (online, classroom, webinars, etc.) to increase skill set and technical capabilities to better serve the needs of the business. Share training materials and communicate knowledge gained to other Data Science staff to maximize knowledge transfer. QUALIFICATIONS Bachelor’s degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research, or related field is required. Master's or PhD in related field is preferred. A minimum of one (1) year of related experience is preferred (experience may include relevant school projects, experiences, and internships). Previous experience programing (at least one language) is required. Basic knowledge in mining and visualizing data is required. Basic knowledge of building advanced analytics assets such as machine learning algorithms, e.g., logistic regression, random forests, gradient boosting machines, etc. is required. Basic knowledge around the diagnostic measures to evaluate advanced analytics models is required. Basic foundational knowledge in mathematics and algorithm design is required. Basic knowledge in using various analytical software to write and implement algorithms is required. Basic skills in Microsoft Word, Excel, and PowerPoint are required. Ability to clearly communicate findings to project technical lead is required.

Full job record

Job ID261a718c92abd7f8710cbb90bfcf9c08f78d07e5
Org ID62f5bddc-1dae-49be-9224-7050e70283d7
Source ID4406247d-ed9c-4711-a8b2-64ecfc1a96ad
Board ID4406247d-ed9c-4711-a8b2-64ecfc1a96ad
Provideroracle_hcm
Provider Job Key13982
TitleData Science Analyst I
Normalized Title—
Statusactive
Activeyes
Location TextDetroit, MI, United States; BCBSM Tower, Detroit, MI, US
DepartmentMiscellaneous
Team—
Employment Type—
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionMI
CityDetroit
Salary RawDescription Departmental Preferences: Basic ability to use generative AI tools (e.g., AI coding assistants, chat-based models) to enhance software development workflows, automate routine tasks, and improve overall analytic and documentation productivity while adhering to established engineering best practices. Ability to follow corporate generative AI policies and team guidelines, including thoroughly reviewing, validating, and understanding AI‑generated content for accuracy, bias, compliance, and appropriate use before incorporating it into code, analyses, or business deliverables With significant supervision, responsible for conducting data discovery and data analysis. Develop moderately complex algorithms, solve complex business issues using statistical, algorithmic, mining and visualization techniques, most notably machine and algorithms. Work under the supervision of the project technical lead to develop components within the advanced analytics solution for complex business problems. Perform data querying, processing, and manipulation of data sets using state of the art data processing and analytics software. Through data mining techniques, discover data patterns, generate insights, and derive inferences that drive decisions that will generate additional hypotheses, optimize business objectives, and help scope the advanced analytics assets. Support the successful design, development, and implementation of advanced analytics through data mining, machine learning, and descriptive and/or predictive model building using state of the art analytics software, e.g., Python. Produce statistical analyses and data visualizations using tools such as Tableau. Communicate analytic insights to technical team lead to ensure models are well understood. Take part in training (online, classroom, webinars, etc.) to increase skill set and technical capabilities to better serve the needs of the business. Share training materials and communicate knowledge gained to other Data Science staff to maximize knowledge transfer. QUALIFICATIONS Bachelor’s degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research, or related field is required. Master's or PhD in related field is preferred. A minimum of one (1) year of related experience is preferred (experience may include relevant school projects, experiences, and internships). Previous experience programing (at least one language) is required. Basic knowledge in mining and visualizing data is required. Basic knowledge of building advanced analytics assets such as machine learning algorithms, e.g., logistic regression, random forests, gradient boosting machines, etc. is required. Basic knowledge around the diagnostic measures to evaluate advanced analytics models is required. Basic foundational knowledge in mathematics and algorithm design is required. Basic knowledge in using various analytical software to write and implement algorithms is required. Basic skills in Microsoft Word, Excel, and PowerPoint are required. Ability to clearly communicate findings to project technical lead is required.
Salary Min—
Salary Max—
Salary Currency—
Salary Period—
Source URLhttps://ejko-dev5.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3/job/13982
Apply URLhttps://ejko-dev5.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3/job/13982
First Seen At2026-05-31 17:59:53Z
Last Seen At2026-06-06 20:03:34Z
Last Checked At2026-06-06 20:03:34Z
Last Changed At2026-05-31 17:59:53Z
Inactive At—
Source Posted At2026-03-20 00:00:00Z
Source Updated At—
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=ejko-dev5.fa.us2.oraclecloud.com|CX_3/date=2026-06-06/2026-06-06T20-03-30-454Z-fac26f851dae146e50b7f5de2d03f2b3c4735d7ba744a68a7d5650c9ae32cbc1.json
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