Senior Director, Data Science
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use - for any list of duties/requirements/benefits, and
for prose. Do NOT repeat job title as heading. Do NOT put Job ID/requisition numbers as headings. Remove boilerplate, navigation, legal, EEO, etc. Include a section only when posting has real specific content for it. Avoid filler like "commensurate with experience". Pay and Schedule sections only if posting actually states them. Benefits: we have benefits listed. Pay: we have compensation range. Schedule: we have office requirement: "Omnicom’s policy requires employees to work in the office for a minimum of three days a week...". That's schedule info. So we can include Schedule section.
We need to preserve all substantive information. Not invent or summarize away detail. So we need to include all details from description.
We need to decide sections: About the role (maybe role overview). Responsibilities (Areas of Responsibility). Requirements (the list). Qualifications? Might overlap with requirements; but we can separate Qualifications (education, degree). Skills (maybe technical skills). Benefits (list). Pay (compensation range). Schedule (office days). We need to avoid duplication.
Let's parse the posting:
- Intro about PHD: description of agency. Could be "About the role" or maybe "About the company". The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can put agency description under About the role? Probably yes.
- Role Overview: "We are currently seeking a Senior Director to join our Data Science team. The ideal candidate will be a data science leader with the responsibility of managing expectations of internal and external stakeholders, performing predictive modeling and data queries across a multitude of platforms in Advertising and Marketing Technology domains. You will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insights gleaned through statistical and machine learning models, as well as data mining. By applying machine learning and data query methods, you will be a liaison between data and our client’s decision-making process. You will also inform internal and external stakeholders and prospective clients on ways of improving business processes."
That's role overview; could go under About the role.
- Areas of Responsibility: bullet list (though not bullet but sentences). We'll convert to
- .
List items:
- Maintain a productive relationship with clients at the peer level or higher to ensure they are informed of any new activities or updates to existing projects
- Participate on multi-disciplinary project teams developing marketing strategies for existing customers, as well as prospective clients
- Coach and manage the learning path of other Data Science team members by standardizing processes and owning documentation
- Present complex reporting, models, and dashboards of technical work to both informed and uninformed audiences through data storytelling to support media investment
- Set up analysis parameters in partnership with Advertiser, Media Strategy and Digital Investment team
- Build modeling and machine learning capabilities by deploying algorithms on top of our vast number of datasets, e.g., clustering, look-a-like modeling
- Support Digital Attribution and Advertising Lift models built in data clean rooms
- Evaluate model performance to determine cut-off points and audience targeting pools for deployment, e.g., lift charts
- Obtain data from various sources, including but not limited to Amazon storage service S3, Omnicom 3P data partnerships, data clean rooms from walled-gardens, e.g., Google Ads Data Hub, Facebook Advanced Analytics, Amazon Marketing Cloud
- Deploy scalable solutions to our cloud-based infrastructure to process, visualize and analyze data
- Requirements: list (numbered). We'll convert to
- .
Items:
- 10+ years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry
- 8+ years of industry experience with Python, SQL, R, and other similar statistical computing environments
- Very strong written and verbal communication skills; thrive in a rapidly evolving environment
- Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
- Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields
- Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)
- Strong command of statistical techniques and concepts
- Strong attention to detail
- A strong desire to learn and passion for digital marketing, research and analytics
- Ability to work well with others and work in cross functional teams
- Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment
- Qualifications: maybe overlapping with requirements; but we could treat graduate degree etc as Qualifications. However we already have graduate degree in requirements. Might be better to separate: Qualifications: Graduate degree in ...; Experience working in high volume databases; Strong command of statistical techniques; etc. But to avoid duplication, we could put qualifications as separate section focusing on education and experience? The instruction says we can have Qualifications section if posting has real specific content. The posting includes "Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields" and "Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)". Also "Strong command of statistical techniques and concepts". These could be qualifications. However we already have them in requirements list; but we can still include them in Qualifications if we want, but we must not repeat same content? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." It doesn't forbid duplication, but better to avoid redundancy. However we need to include all info; if we put them only in Requirements, that's fine. Qualifications could be omitted if no distinct content beyond requirements. But we could still include Qualifications with items that are not already covered? Let's see: The posting also includes "Very strong written and verbal communication skills; thrive in a rapidly evolving environment" and "Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing" - those are skills. So Skills section could capture communication skills, ability to explain, etc. Also "Strong attention to detail", "A strong desire to learn and passion for digital marketing, research and analytics", "Ability to work well with others and work in cross functional teams", "Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment". Those could be skills or requirements. We'll allocate.
Thus we can have:
- About the role: agency description + role overview paragraph.
- Responsibilities: list of areas of responsibility.
- Requirements: list of experience years, technical experience, etc.
- Qualifications: maybe graduate degree and experience with high volume databases? But those are already in requirements. To avoid duplication, maybe we put qualifications as education only: Graduate degree in ...; plus maybe "New graduates will also be considered depending on their educational background and academic record". That's still qualification.
- Skills: communication skills, ability to explain, strong attention to detail, desire to learn, teamwork, managing tasks.
- Benefits: list.
- Pay: compensation range(s). There are two ranges: "$180,000-$220,000 $120,000 - $230,000". The posting seems to have duplicated or weird formatting. It says: "Compensation Range: $180,000-$220,000 $120,000 - $230,000". Likely they meant $180k-$220k or $120k-$230k? We need to preserve both as stated. We'll output exactly as in text: "$180,000-$220,000 $120,000 - $230,000". Or we could keep as two separate ranges. We'll preserve.
- Schedule: office requirement: "Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance."
We'll put that in Schedule section.
Now we need to strip boilerplate: navigation, legal, EEO, etc. At end there is EEO statement, privacy notice link, etc. Remove those.
Also remove duplicated lines like "$120,000 - $230,000" appears twice? At end there is ", $120,000 - $230,000". We'll keep only one occurrence in Pay section.
Now produce HTML fragment with headings
and content.
Structure:
About the role
... agency description + role overview ...
Responsibilities
- ...
...
Requirements
- ...
...
Qualifications
- Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields
- Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)
Skills
- Very strong written and verbal communication skills; thrive in a rapidly evolving environment
- Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
- Strong attention to detail
- A strong desire to learn and passion for digital marketing, research and analytics
- Ability to work well with others and work in cross functional teams
- Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment
Benefits
- health insurance
- vision insurance
- dental insurance
- 401(k)
- Healthcare Flexible Spending Account
- Dependent Care Flexible Spending Account
- vacation days
- sick days
- personal days
- paid parental leave
- paid medical leave
- STD/LTD insurance benefits
Pay
Compensation Range: $180,000-$220,000 $120,000 - $230,000
Schedule
Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.
Check for any leftover boilerplate: we removed EEO, privacy notice, etc.
Check for any duplicated content: we have graduate degree and high volume experience in Qualifications; also they appear in Requirements? Actually we didn't include them in Requirements list; we only included the years of experience, technical experience, communication skills, etc. Let's verify Requirements list we plan: we need to include all items from the Requirements bullet list (the numbered list). That list includes:
for prose. Do NOT repeat job title as heading. Do NOT put Job ID/requisition numbers as headings. Remove boilerplate, navigation, legal, EEO, etc. Include a section only when posting has real specific content for it. Avoid filler like "commensurate with experience". Pay and Schedule sections only if posting actually states them. Benefits: we have benefits listed. Pay: we have compensation range. Schedule: we have office requirement: "Omnicom’s policy requires employees to work in the office for a minimum of three days a week...". That's schedule info. So we can include Schedule section. We need to preserve all substantive information. Not invent or summarize away detail. So we need to include all details from description. We need to decide sections: About the role (maybe role overview). Responsibilities (Areas of Responsibility). Requirements (the list). Qualifications? Might overlap with requirements; but we can separate Qualifications (education, degree). Skills (maybe technical skills). Benefits (list). Pay (compensation range). Schedule (office days). We need to avoid duplication. Let's parse the posting: - Intro about PHD: description of agency. Could be "About the role" or maybe "About the company". The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can put agency description under About the role? Probably yes. - Role Overview: "We are currently seeking a Senior Director to join our Data Science team. The ideal candidate will be a data science leader with the responsibility of managing expectations of internal and external stakeholders, performing predictive modeling and data queries across a multitude of platforms in Advertising and Marketing Technology domains. You will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insights gleaned through statistical and machine learning models, as well as data mining. By applying machine learning and data query methods, you will be a liaison between data and our client’s decision-making process. You will also inform internal and external stakeholders and prospective clients on ways of improving business processes." That's role overview; could go under About the role. - Areas of Responsibility: bullet list (though not bullet but sentences). We'll convert to
- .
List items:
- Maintain a productive relationship with clients at the peer level or higher to ensure they are informed of any new activities or updates to existing projects
- Participate on multi-disciplinary project teams developing marketing strategies for existing customers, as well as prospective clients
- Coach and manage the learning path of other Data Science team members by standardizing processes and owning documentation
- Present complex reporting, models, and dashboards of technical work to both informed and uninformed audiences through data storytelling to support media investment
- Set up analysis parameters in partnership with Advertiser, Media Strategy and Digital Investment team
- Build modeling and machine learning capabilities by deploying algorithms on top of our vast number of datasets, e.g., clustering, look-a-like modeling
- Support Digital Attribution and Advertising Lift models built in data clean rooms
- Evaluate model performance to determine cut-off points and audience targeting pools for deployment, e.g., lift charts
- Obtain data from various sources, including but not limited to Amazon storage service S3, Omnicom 3P data partnerships, data clean rooms from walled-gardens, e.g., Google Ads Data Hub, Facebook Advanced Analytics, Amazon Marketing Cloud
- Deploy scalable solutions to our cloud-based infrastructure to process, visualize and analyze data
- Requirements: list (numbered). We'll convert to
- .
Items:
- 10+ years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry
- 8+ years of industry experience with Python, SQL, R, and other similar statistical computing environments
- Very strong written and verbal communication skills; thrive in a rapidly evolving environment
- Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
- Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields
- Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)
- Strong command of statistical techniques and concepts
- Strong attention to detail
- A strong desire to learn and passion for digital marketing, research and analytics
- Ability to work well with others and work in cross functional teams
- Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment
- Qualifications: maybe overlapping with requirements; but we could treat graduate degree etc as Qualifications. However we already have graduate degree in requirements. Might be better to separate: Qualifications: Graduate degree in ...; Experience working in high volume databases; Strong command of statistical techniques; etc. But to avoid duplication, we could put qualifications as separate section focusing on education and experience? The instruction says we can have Qualifications section if posting has real specific content. The posting includes "Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields" and "Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)". Also "Strong command of statistical techniques and concepts". These could be qualifications. However we already have them in requirements list; but we can still include them in Qualifications if we want, but we must not repeat same content? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." It doesn't forbid duplication, but better to avoid redundancy. However we need to include all info; if we put them only in Requirements, that's fine. Qualifications could be omitted if no distinct content beyond requirements. But we could still include Qualifications with items that are not already covered? Let's see: The posting also includes "Very strong written and verbal communication skills; thrive in a rapidly evolving environment" and "Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing" - those are skills. So Skills section could capture communication skills, ability to explain, etc. Also "Strong attention to detail", "A strong desire to learn and passion for digital marketing, research and analytics", "Ability to work well with others and work in cross functional teams", "Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment". Those could be skills or requirements. We'll allocate.
Thus we can have:
- About the role: agency description + role overview paragraph.
- Responsibilities: list of areas of responsibility.
- Requirements: list of experience years, technical experience, etc.
- Qualifications: maybe graduate degree and experience with high volume databases? But those are already in requirements. To avoid duplication, maybe we put qualifications as education only: Graduate degree in ...; plus maybe "New graduates will also be considered depending on their educational background and academic record". That's still qualification.
- Skills: communication skills, ability to explain, strong attention to detail, desire to learn, teamwork, managing tasks.
- Benefits: list.
- Pay: compensation range(s). There are two ranges: "$180,000-$220,000 $120,000 - $230,000". The posting seems to have duplicated or weird formatting. It says: "Compensation Range: $180,000-$220,000 $120,000 - $230,000". Likely they meant $180k-$220k or $120k-$230k? We need to preserve both as stated. We'll output exactly as in text: "$180,000-$220,000 $120,000 - $230,000". Or we could keep as two separate ranges. We'll preserve.
- Schedule: office requirement: "Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance."
We'll put that in Schedule section.
Now we need to strip boilerplate: navigation, legal, EEO, etc. At end there is EEO statement, privacy notice link, etc. Remove those.
Also remove duplicated lines like "$120,000 - $230,000" appears twice? At end there is ", $120,000 - $230,000". We'll keep only one occurrence in Pay section.
Now produce HTML fragment with headings
and content. Structure:
About the role
... agency description + role overview ...
Responsibilities
- ... ...
Requirements
- ... ...
Qualifications
- Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields
- Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)
Skills
- Very strong written and verbal communication skills; thrive in a rapidly evolving environment
- Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
- Strong attention to detail
- A strong desire to learn and passion for digital marketing, research and analytics
- Ability to work well with others and work in cross functional teams
- Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment
Benefits
- health insurance
- vision insurance
- dental insurance
- 401(k)
- Healthcare Flexible Spending Account
- Dependent Care Flexible Spending Account
- vacation days
- sick days
- personal days
- paid parental leave
- paid medical leave
- STD/LTD insurance benefits
Pay
Compensation Range: $180,000-$220,000 $120,000 - $230,000
Schedule
Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.
Check for any leftover boilerplate: we removed EEO, privacy notice, etc. Check for any duplicated content: we have graduate degree and high volume experience in Qualifications; also they appear in Requirements? Actually we didn't include them in Requirements list; we only included the years of experience, technical experience, communication skills, etc. Let's verify Requirements list we plan: we need to include all items from the Requirements bullet list (the numbered list). That list includes:
- .
Items:
- 10+ years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry
- 8+ years of industry experience with Python, SQL, R, and other similar statistical computing environments
- Very strong written and verbal communication skills; thrive in a rapidly evolving environment
- Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
- Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields
- Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)
- Strong command of statistical techniques and concepts
- Strong attention to detail
- A strong desire to learn and passion for digital marketing, research and analytics
- Ability to work well with others and work in cross functional teams
- Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment
- Qualifications: maybe overlapping with requirements; but we could treat graduate degree etc as Qualifications. However we already have graduate degree in requirements. Might be better to separate: Qualifications: Graduate degree in ...; Experience working in high volume databases; Strong command of statistical techniques; etc. But to avoid duplication, we could put qualifications as separate section focusing on education and experience? The instruction says we can have Qualifications section if posting has real specific content. The posting includes "Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields" and "Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)". Also "Strong command of statistical techniques and concepts". These could be qualifications. However we already have them in requirements list; but we can still include them in Qualifications if we want, but we must not repeat same content? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." It doesn't forbid duplication, but better to avoid redundancy. However we need to include all info; if we put them only in Requirements, that's fine. Qualifications could be omitted if no distinct content beyond requirements. But we could still include Qualifications with items that are not already covered? Let's see: The posting also includes "Very strong written and verbal communication skills; thrive in a rapidly evolving environment" and "Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing" - those are skills. So Skills section could capture communication skills, ability to explain, etc. Also "Strong attention to detail", "A strong desire to learn and passion for digital marketing, research and analytics", "Ability to work well with others and work in cross functional teams", "Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment". Those could be skills or requirements. We'll allocate.
Thus we can have:
- About the role: agency description + role overview paragraph.
- Responsibilities: list of areas of responsibility.
- Requirements: list of experience years, technical experience, etc.
- Qualifications: maybe graduate degree and experience with high volume databases? But those are already in requirements. To avoid duplication, maybe we put qualifications as education only: Graduate degree in ...; plus maybe "New graduates will also be considered depending on their educational background and academic record". That's still qualification.
- Skills: communication skills, ability to explain, strong attention to detail, desire to learn, teamwork, managing tasks.
- Benefits: list.
- Pay: compensation range(s). There are two ranges: "$180,000-$220,000 $120,000 - $230,000". The posting seems to have duplicated or weird formatting. It says: "Compensation Range: $180,000-$220,000 $120,000 - $230,000". Likely they meant $180k-$220k or $120k-$230k? We need to preserve both as stated. We'll output exactly as in text: "$180,000-$220,000 $120,000 - $230,000". Or we could keep as two separate ranges. We'll preserve.
- Schedule: office requirement: "Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance."
We'll put that in Schedule section.
Now we need to strip boilerplate: navigation, legal, EEO, etc. At end there is EEO statement, privacy notice link, etc. Remove those.
Also remove duplicated lines like "$120,000 - $230,000" appears twice? At end there is ", $120,000 - $230,000". We'll keep only one occurrence in Pay section.
Now produce HTML fragment with headings