Data Scientist

We need to output HTML fragment with sections as per rules. Identify content: The posting includes: - Intro: "This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future." That's a requirement, maybe part of "Required Qualifications" or "Skills". We'll include in a paragraph. - Then description: "The Data Scientist plays a key role..." etc. That's responsibilities. - Then "How You’ll Make An Impact" with bullet list of duties. - Then "Working Conditions Office environment (four days in office/one day remote)" => schedule. - Then "Required Qualifications What You’ll Bring to Spectrum Required Skills/Abilities And Knowledge" then list of skills. - Then "Required Education Bachelor’s degree in Computer Science or related field or an equivalent combination of education, training and experience" - Then "Required Related Work Experience And Number Of Years Writing SQL / 3 Designing and building analytics tools in Tableau / 2 Big data analysis / 3 Requirements analysis and documentation / 3 Data validation, analysis, and debugging / 3" - Then "Preferred Skills/Abilities And Knowledge Telecomm/Cable industry experience Accounting/Financial/Audit experience Data mining experience BDA303 2026-82290 BDA303 2026" (some IDs, ignore). - Then "Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life." => benefits/pay mention but not specific. - Then "A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances." => EEO boilerplate, remove. - Then "Get to Know Us Charter Communications provides superior communication..." => company description, maybe not needed? It's not a section heading; could be prose but maybe we can include as a paragraph under "About the role"? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We should include sections only when posting has real specific content. We have content for Responsibilities, Requirements/Qualifications/Skills, Education, Experience, Working Conditions (Schedule), Benefits/Pay (though vague). We should not create sections with filler like "commensurate with experience". The benefits/pay statement is vague but mentions comprehensive pay and benefits package. That's somewhat specific enough? It says "comprehensive pay and benefits package". Might be enough to include a Benefits section? The rule: never create Pay/Schedule/Benefits sections unless the posting actually states them. It does state they offer a comprehensive pay and benefits package. So we can include a Benefits section with that sentence. Schedule: "Office environment (four days in office/one day remote)" => schedule. We should not repeat job title as heading. No Job ID. We need to remove boilerplate: immigration sponsorship line? That's a requirement about work authorization; we can keep as part of Required Qualifications maybe. We need to preserve all substantive information. So we need to include the immigration requirement. We need to format using

for section headings. Use

• for any list of duties/requirements/benefits, and

  for prose. We need to decide sections: About the role? Could be a brief intro paragraph. Responsibilities: the "How You’ll Make An Impact" bullet list plus earlier description. Requirements: maybe combine Required Qualifications, Skills, Education, Experience. But we could split into Qualifications and Skills sections. The instruction says prefer a few substantive sections over many thin ones. So maybe we have sections: Responsibilities, Qualifications (including required skills, education, experience), Benefits, Schedule. We need to include the immigration requirement somewhere; could be in Qualifications as a paragraph. Let's extract content: Responsibilities / How You’ll Make An Impact bullet list: - Actively and consistently support all efforts to simplify and enhance the customer experience. - Design and develop analytic solutions to support our audit plan, including but not limited to: - Understanding the source data and business process - Independently write code to extract data from various sources (Teradata, SQL, Oracle, etc.) - Develop code to manipulate and clean data as needed based on requirements gathered in conjunction with the Manager, Data Science. - Design and execute data validations and quality checks to ensure complete and accurate populations. - Design and build visualization solutions with our end users in mind to drive efficiency and effective anomaly identification. - Refreshing and optimizing existing analytics based on internal and external feedback. - Identify risks and escalate to management appropriately. - Participate in discussions and interface with various departments to research, define, and document requirements. - Proactively seek clarification of requirements and direction; takes responsibility when needed. - Executes special projects as needed and performs other duties as requested. Also earlier paragraph: "The Data Scientist plays a key role in our data driven audits and is responsible for the design, development and maintenance of data analysis and visualizations to support the audit plan, including requirements gathering, data validation, analysis execution and results reporting using visualization tools. The position requires regular communication with the audit team to define requirements and present deliverables." We can combine that as prose before the list. Qualifications: - In-depth knowledge of database design, SQL and data warehousing - Advanced SQL development and optimization background - Knowledge of data visualization and presentation methods for data analysis and interpretation, including performance of dashboards, generating, managing and delivering presentations and reports capable of yielding insights and actionable results - Ability to understand business processes to ensure data and information integrity when importing from source systems. - Ability to present analysis to our audit teams clearly and concisely - Excellent interpersonal, oral and written communication and presentation skills - Ability to work in teams towards a shared goal - Ability to interface with various levels in an organization - Ability to prioritize and organize effectively - Ability to learn new technologies and tools - Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints - Detail oriented with emphasis on accuracy and consistency Education: - Bachelor’s degree in Computer Science or related field or an equivalent combination of education, training and experience Experience (with years): - Writing SQL / 3 - Designing and building analytics tools in Tableau / 2 - Big data analysis / 3 - Requirements analysis and documentation / 3 - Data validation, analysis, and debugging / 3 Preferred skills (maybe we can include as part of Qualifications but note they are preferred): - Telecomm/Cable industry experience - Accounting/Financial/Audit experience - Data mining experience We also have the immigration requirement: "This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future." Benefits: "Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life." Schedule: "Office environment (four days in office/one day remote)" We should not include the video, company description, EEO, etc. Now produce HTML: We'll have sections:

  Responsibilities

  The Data Scientist plays a key role in our data driven audits and is responsible for the design, development and maintenance of data analysis and visualizations to support the audit plan, including requirements gathering, data validation, analysis execution and results reporting using visualization tools. The position requires regular communication with the audit team to define requirements and present deliverables.

  • Actively and consistently support all efforts to simplify and enhance the customer experience.
  • Design and develop analytic solutions to support our audit plan, including but not limited to:
    • Understanding the source data and business process
    • Independently write code to extract data from various sources (Teradata, SQL, Oracle, etc.)
    • Develop code to manipulate and clean data as needed based on requirements gathered in conjunction with the Manager, Data Science.
    • Design and execute data validations and quality checks to ensure complete and accurate populations.
    • Design and build visualization solutions with our end users in mind to drive efficiency and effective anomaly identification.
    • Refreshing and optimizing existing analytics based on internal and external feedback.
    • Identify risks and escalate to management appropriately.
    • Participate in discussions and interface with various departments to research, define, and document requirements.
    • Proactively seek clarification of requirements and direction; takes responsibility when needed.
    • Executes special projects as needed and performs other duties as requested.
  But note we have nested list; maybe better to keep top-level list items each as a duty, and sub-items as nested
  . That's fine. Next section:

  Qualifications

  This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

  • In-depth knowledge of database design, SQL and data warehousing
  • Advanced SQL development and optimization background
  • Knowledge of data visualization and presentation methods for data analysis and interpretation, including performance of dashboards, generating, managing and delivering presentations and reports capable of yielding insights and actionable results
  • Ability to understand business processes to ensure data and information integrity when importing from source systems.
  • Ability to present analysis to our audit teams clearly and concisely
  • Excellent interpersonal, oral and written communication and presentation skills
  • Ability to work in teams towards a shared goal
  • Ability to interface with various levels in an organization
  • Ability to prioritize and organize effectively
  • Ability to learn new technologies and tools
  • Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints
  • Detail oriented with emphasis on accuracy and consistency

  Education: Bachelor’s degree in Computer Science or related field or an equivalent combination of education, training and experience

  Required Experience:

  • Writing SQL – 3 years
  • Designing and building analytics tools in Tableau – 2 years
  • Big data analysis – 3 years
  • Requirements analysis and documentation – 3 years
  • Data validation, analysis, and debugging – 3 years

  Preferred Skills:

  • Telecomm/Cable industry experience
  • Accounting/Financial/Audit experience
  • Data mining experience
  But we used which is not prohibited but maybe better to keep as

  with bold? The instruction only mentions using

  ,

  • ,

    . It didn't forbid other tags, but to be safe we can avoid and just include as prose: "Education: Bachelor’s degree..." as a sentence. We can do:

    Education: Bachelor’s degree in Computer Science or related field or an equivalent combination of education, training and experience.

    Similarly for experience: we can write as a paragraph then list. But we need to use
    • for any list of duties/requirements/benefits. So experience list should be
      . The intro sentence can be

      Required Experience:

      then list. Preferred skills also list. Now Benefits section:

      Benefits

      Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well