Manager, Data Science - People Tech
for each heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to preserve all substantive information. Must not include boilerplate like EEO, accommodation, etc. Must remove duplicated lines.
Let's extract content.
First paragraph: "Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives."
That's about the role. Could be About the role.
Next: "Team Description People Tech is a close-knit team of 480+ dedicated, talented and diverse individuals. Together, we're focused on delivering exceptional experiences and tech innovations for Capital One's associates and business partners. As a team, we deliver modern engineering capabilities, services, and platforms. We are the proud tech partner to the following enterprise lines of business: Brand, Corporate Development, Corporate Strategy, Experience Design, Enterprise Supplier Management, Global External Affairs, Human Resources, Legal, and Global Workplace Solutions."
That could also be part of About the role or maybe separate but we can include in About the role.
Then: "In this role, you will:" followed by bullet points:
- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
- Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
- Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
- Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
That's responsibilities.
Then: "The Ideal Candidate is:" followed by bullet points describing traits: Experienced in taking models into production through the model risk compliance process; Customer first...; Innovative; Creative; A leader; Technical; Influential. These are more like qualifications/skills. Could be placed under Requirements or Qualifications. The posting then has "Basic Qualifications:" list, then "Preferred Qualifications:" list.
Thus we can structure:
- About the role: combine first paragraphs and team description.
- Responsibilities: the bullet list after "In this role, you will:"
- Requirements: maybe the Ideal Candidate traits? Or we could treat Ideal Candidate as Requirements (soft skills). But we also have Basic Qualifications and Preferred Qualifications. Could make Requirements = Basic Qualifications, Qualifications = Preferred Qualifications, Skills = technical skills list (maybe from responsibilities). However we need to avoid duplication. Let's think.
We need to include sections only when posting has real specific content. We have content for:
- About the role (yes)
- Responsibilities (yes)
- Basic Qualifications (yes)
- Preferred Qualifications (yes)
- Skills (maybe we can extract technical skills: experience with LLMs, open source programming languages, relational databases, Python/Scala/R, SQL, AWS, etc.) This is present in Basic/Preferred qualifications. Could combine into Skills section but we might duplicate. Better to have Requirements = Basic Qualifications, Qualifications = Preferred Qualifications, and maybe Skills = technical skills from responsibilities (like NLP, LLMs, PyTorch, etc.) but that may be redundant.
Given instruction: "Prefer a few substantive sections over many thin ones." So we could combine Basic and Preferred into Requirements and Qualifications sections. Or we could have Requirements (Basic) and Qualifications (Preferred). Skills maybe not needed if covered.
We also have Benefits: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." That's benefits info.
Pay: salary ranges per location and performance based incentive compensation.
Schedule: not mentioned.
Thus sections: About the role, Responsibilities, Requirements (Basic Qualifications), Qualifications (Preferred Qualifications), Benefits, Pay.
We must not include fluff like "commensurate with experience". Not present.
Now we need to format.
We'll produce:
About the role
... combined paragraphs ...
Responsibilities
- ...
...
Requirements
- ... Basic Qualifications items ...
...
Qualifications
- ... Preferred Qualifications items ...
...
Benefits
... benefits paragraph ...
Pay
... salary ranges and incentive info ...
We must ensure we preserve all substantive info. Let's extract exact text.
About the role: combine first two paragraphs.
Paragraph1: "Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives."
Paragraph2: "Team Description People Tech is a close-knit team of 480+ dedicated, talented and diverse individuals. Together, we're focused on delivering exceptional experiences and tech innovations for Capital One's associates and business partners. As a team, we deliver modern engineering capabilities, services, and platforms. We are the proud tech partner to the following enterprise lines of business: Brand, Corporate Development, Corporate Strategy, Experience Design, Enterprise Supplier Management, Global External Affairs, Human Resources, Legal, and Global Workplace Solutions."
We should keep as is, maybe combine into one paragraph.
Responsibilities: list items exactly as given.
- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
- Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
- Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
- Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Requirements (Basic Qualifications): list items.
Basic Qualifications text:
"Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases"
We need to preserve each bullet. Could format as - each line.
Qualifications (Preferred Qualifications): list items.
"PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 4 years of machine learning experience
At least 4 years of AI modeling experience
At least 4 years of experience in Python, Scala, or R
At least 4 years of experience with SQL
Experience working with AWS"
Also maybe "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's not a qualification but maybe part of benefits? It's about sponsorship. Could be included in Benefits or maybe a separate note but not a heading. Since we only include sections with real content, we could add that to Benefits or Pay? Probably better to include in Benefits as part of overall offerings. But the instruction says Benefits section only if posting actually states them. It does state benefits and also sponsorship. We can include sponsorship in Benefits paragraph.
Benefits paragraph: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." plus maybe the sponsorship line: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." We'll combine.
Pay paragraph: need to include salary ranges per location and performance based incentive compensation.
Text:
"The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100
for prose. We need to preserve all substantive information. Must not include boilerplate like EEO, accommodation, etc. Must remove duplicated lines. Let's extract content. First paragraph: "Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives." That's about the role. Could be About the role. Next: "Team Description People Tech is a close-knit team of 480+ dedicated, talented and diverse individuals. Together, we're focused on delivering exceptional experiences and tech innovations for Capital One's associates and business partners. As a team, we deliver modern engineering capabilities, services, and platforms. We are the proud tech partner to the following enterprise lines of business: Brand, Corporate Development, Corporate Strategy, Experience Design, Enterprise Supplier Management, Global External Affairs, Human Resources, Legal, and Global Workplace Solutions." That could also be part of About the role or maybe separate but we can include in About the role. Then: "In this role, you will:" followed by bullet points: - Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. - Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. - Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. - Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. - Flex your interpersonal skills to translate the complexity of your work into tangible business goals. That's responsibilities. Then: "The Ideal Candidate is:" followed by bullet points describing traits: Experienced in taking models into production through the model risk compliance process; Customer first...; Innovative; Creative; A leader; Technical; Influential. These are more like qualifications/skills. Could be placed under Requirements or Qualifications. The posting then has "Basic Qualifications:" list, then "Preferred Qualifications:" list. Thus we can structure: - About the role: combine first paragraphs and team description. - Responsibilities: the bullet list after "In this role, you will:" - Requirements: maybe the Ideal Candidate traits? Or we could treat Ideal Candidate as Requirements (soft skills). But we also have Basic Qualifications and Preferred Qualifications. Could make Requirements = Basic Qualifications, Qualifications = Preferred Qualifications, Skills = technical skills list (maybe from responsibilities). However we need to avoid duplication. Let's think. We need to include sections only when posting has real specific content. We have content for: - About the role (yes) - Responsibilities (yes) - Basic Qualifications (yes) - Preferred Qualifications (yes) - Skills (maybe we can extract technical skills: experience with LLMs, open source programming languages, relational databases, Python/Scala/R, SQL, AWS, etc.) This is present in Basic/Preferred qualifications. Could combine into Skills section but we might duplicate. Better to have Requirements = Basic Qualifications, Qualifications = Preferred Qualifications, and maybe Skills = technical skills from responsibilities (like NLP, LLMs, PyTorch, etc.) but that may be redundant. Given instruction: "Prefer a few substantive sections over many thin ones." So we could combine Basic and Preferred into Requirements and Qualifications sections. Or we could have Requirements (Basic) and Qualifications (Preferred). Skills maybe not needed if covered. We also have Benefits: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." That's benefits info. Pay: salary ranges per location and performance based incentive compensation. Schedule: not mentioned. Thus sections: About the role, Responsibilities, Requirements (Basic Qualifications), Qualifications (Preferred Qualifications), Benefits, Pay. We must not include fluff like "commensurate with experience". Not present. Now we need to format. We'll produce:
About the role
... combined paragraphs ...
Responsibilities
- ... ...
Requirements
- ... Basic Qualifications items ... ...
Qualifications
- ... Preferred Qualifications items ... ...
Benefits
... benefits paragraph ...
Pay
... salary ranges and incentive info ...
We must ensure we preserve all substantive info. Let's extract exact text. About the role: combine first two paragraphs. Paragraph1: "Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives." Paragraph2: "Team Description People Tech is a close-knit team of 480+ dedicated, talented and diverse individuals. Together, we're focused on delivering exceptional experiences and tech innovations for Capital One's associates and business partners. As a team, we deliver modern engineering capabilities, services, and platforms. We are the proud tech partner to the following enterprise lines of business: Brand, Corporate Development, Corporate Strategy, Experience Design, Enterprise Supplier Management, Global External Affairs, Human Resources, Legal, and Global Workplace Solutions." We should keep as is, maybe combine into one paragraph. Responsibilities: list items exactly as given. - Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. - Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. - Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. - Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. - Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Requirements (Basic Qualifications): list items. Basic Qualifications text: "Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 year of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases" We need to preserve each bullet. Could format as- each line. Qualifications (Preferred Qualifications): list items. "PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 4 years of machine learning experience At least 4 years of AI modeling experience At least 4 years of experience in Python, Scala, or R At least 4 years of experience with SQL Experience working with AWS" Also maybe "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's not a qualification but maybe part of benefits? It's about sponsorship. Could be included in Benefits or maybe a separate note but not a heading. Since we only include sections with real content, we could add that to Benefits or Pay? Probably better to include in Benefits as part of overall offerings. But the instruction says Benefits section only if posting actually states them. It does state benefits and also sponsorship. We can include sponsorship in Benefits paragraph. Benefits paragraph: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." plus maybe the sponsorship line: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." We'll combine. Pay paragraph: need to include salary ranges per location and performance based incentive compensation. Text: "The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100