Mid-Level Telecoms Architect
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use - for any list of duties/requirements/benefits. Use
for prose. Do NOT repeat job title as heading. Do NOT put Job ID/requisition numbers as headings. Remove boilerplate, navigation, legal, EEO, equal-opportunity, scam-warning, duplicated lines, application instructions. Include a section ONLY when posting has real, specific content for it. Avoid filler like "commensurate with experience". So we need to extract substantive content.
Let's parse the job description.
First line: "ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED" - that's a requirement. Should be part of Requirements or Qualifications.
Then: "We are seeking an inventive, mission-driven Data Science & Access Discovery Specialist with background in target development, Digital Network Intelligence (DNI), or Technical SIGINT (TechSIGINT)." That's about the role.
"In this high-impact role, you will apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling directly to complex, large-scale telecommunications, mobile, and network datasets. You will bridge advanced discovery analysis with automated data science—building, deploying, and refining ML models, creating scalable data pipelines, and developing interactive analytic prototypes to uncover hidden intelligence." That's responsibilities.
"The annual base salary range for this role is $122,000-$144,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things." That's Pay info.
Then list of Required Skills: bullet list.
Then Education: bullet list.
Then Desired Skills: bullet list.
Then About Nyla Technology Solutions: paragraph.
Then "Taking Care of All of You Nyla provides a top-of-market compensation and benefits package..." details about benefits: Nyla FLEX program, pay, leave, schedule, health care, 401k matching, professional development, student loan repayment, volunteering.
We need to include sections only if real specific content. So we can have sections: About the role (maybe combine with About Nyla?), Responsibilities, Requirements (including security clearance, required skills, education), Qualifications (maybe same as Requirements? but we can combine), Skills (maybe separate Required and Desired?), Benefits, Pay, Schedule.
But we must avoid thin sections. Let's decide: We'll have sections: About the role (intro paragraph), Responsibilities (the duties), Required Skills (list), Desired Skills (list), Education (list), Benefits (the Nyla FLEX details), Pay (salary range), Schedule (maybe part of Benefits? but we have specific schedule info in Nyla FLEX: ability to scale down to 30-32 hours, etc. So we can have Schedule section.)
We must not repeat job title as heading. So no heading for "Data Science & Access Discovery Specialist". Good.
We need to use
for each section heading.
We need to use - for any list of duties/requirements/benefits. For prose use
.
We must preserve ALL substantive information; do not invent or summarize away detail. So we need to keep details like "4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company." etc.
We must remove boilerplate: "Nyla is an equal opportunity employer." Also "To learn more about Nyla's culture and our exceptional benefit packages click here." Also maybe "If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team," is somewhat fluff but maybe keep? It's part of About Nyla? It's somewhat promotional but not boilerplate? It's still substantive? Might be considered fluff but it's part of the description. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. That line is not exactly boilerplate but it's a call to apply? It's encouraging to join. Might be considered application instruction? It's not explicit instruction to apply. I'd keep it as part of About Nyla.
We need to ensure we don't include duplicated lines. There's some duplication? Not obvious.
Now produce HTML.
Structure:
About the role
We are seeking an inventive, mission-driven Data Science & Access Discovery Specialist with background in target development, Digital Network Intelligence (DNI), or Technical SIGINT (TechSIGINT). In this high-impact role, you will apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling directly to complex, large-scale telecommunications, mobile, and network datasets. You will bridge advanced discovery analysis with automated data science—building, deploying, and refining ML models, creating scalable data pipelines, and developing interactive analytic prototypes to uncover hidden intelligence.
Responsibilities
Apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling to large-scale telecommunications, mobile, and network datasets; build, deploy, and refine ML models; create scalable data pipelines; develop interactive analytic prototypes to uncover hidden intelligence.
But we already covered that in About the role. Might be redundant. Perhaps better to have About the role as short intro, Responsibilities as list of duties. However the instructions: Use - for any list of duties/requirements/benefits. So we could make Responsibilities a
- list.
Let's extract duties: "apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling directly to complex, large-scale telecommunications, mobile, and network datasets." "bridge advanced discovery analysis with automated data science—building, deploying, and refining ML models, creating scalable data pipelines, and developing interactive analytic prototypes to uncover hidden intelligence."
We can split into two li.
Responsibilities
- Apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling to complex, large-scale telecommunications, mobile, and network datasets.
- Bridge advanced discovery analysis with automated data science by building, deploying, and refining ML models; creating scalable data pipelines; and developing interactive analytic prototypes to uncover hidden intelligence.
Now Required Skills: list.
We have Required Skills bullet list: Operational Target & Access Discovery, Applied AI/ML & Predictive Modeling, Large-Scale Data Processing, Data Modeling & Visualization, Prototyping & Automation, Adaptability.
We'll put each as - .
Also Education: bullet list with three options.
We could combine Required Skills and Education under Requirements or Qualifications. But we need headings: maybe "Requirements" includes security clearance, required skills, education. Or separate "Required Skills" and "Education". The instruction: use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can have Requirements (maybe includes security clearance and required skills), Qualifications (education), Skills (maybe desired skills). But we need to avoid thin sections. Let's think.
We have security clearance statement: "ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED". That's a requirement.
We have Required Skills list.
We have Education list.
We have Desired Skills list.
We could have:
Requirements
Active security clearance at the TS/SCI polygraph level is required.
- Operational Target & Access Discovery: Background performing as a Digital Network Exploitation Analyst (DNE), Target Digital Network Analyst (TDNA), Targeteer, or Access Discovery Analyst with a focus on telecommunications, mobile networks, and network access discovery.
- Applied AI/ML & Predictive Modeling: Hands-on experience developing, deploying, and assessing machine learning models, computational mathematics, and advanced statistical/predictive modeling techniques on large datasets.
- Large-Scale Data Processing: Practical experience processing massive datasets using distributed frameworks and cloud platforms (e.g., Apache Spark).
- Data Modeling & Visualization: Expertise in quantitative/qualitative data techniques, feature engineering, and creating interactive data visualizations to communicate analytic insights.
- Prototyping & Automation: Strong scripting and automation skills to build data science prototypes, integrate TechSIGINT tools, and streamline analytical workflows.
- Adaptability: Demonstrated capability to quickly adapt to novel tools, emerging AI/ML technologies, and shifting mission environments.
Then Qualifications (Education):
Qualifications
- Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Machine Learning, or a related quantitative field, PLUS 7+ years of professional data science or ML engineering experience
- OR Master’s Degree in a related quantitative discipline, PLUS 5+ years of specialized experience in AI/ML development and analytics
- OR High School Diploma / GED, PLUS 11+ years of technical experience in data science, machine learning, and advanced analytics in lieu of a degree.
Then Skills (Desired Skills):
Skills
- Telecommunications & Mobile Protocol Knowledge: Deep understanding of modern telecommunications architectures, mobile communication protocols, and signal transport dynamics.
- TechSIGINT Analytics: Direct familiarity with specialized TechSIGINT processing tools, metadata parsing, and network discovery frameworks.
- Cloud Architecture: Experience working within enterprise cloud data platforms to scale analytic prototypes into production environments.
Now Benefits: we have Nyla FLEX program details. We'll need to capture all specifics.
We have:
"Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place."
We need to turn this into a Benefits section
for prose. Do NOT repeat job title as heading. Do NOT put Job ID/requisition numbers as headings. Remove boilerplate, navigation, legal, EEO, equal-opportunity, scam-warning, duplicated lines, application instructions. Include a section ONLY when posting has real, specific content for it. Avoid filler like "commensurate with experience". So we need to extract substantive content. Let's parse the job description. First line: "ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED" - that's a requirement. Should be part of Requirements or Qualifications. Then: "We are seeking an inventive, mission-driven Data Science & Access Discovery Specialist with background in target development, Digital Network Intelligence (DNI), or Technical SIGINT (TechSIGINT)." That's about the role. "In this high-impact role, you will apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling directly to complex, large-scale telecommunications, mobile, and network datasets. You will bridge advanced discovery analysis with automated data science—building, deploying, and refining ML models, creating scalable data pipelines, and developing interactive analytic prototypes to uncover hidden intelligence." That's responsibilities. "The annual base salary range for this role is $122,000-$144,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things." That's Pay info. Then list of Required Skills: bullet list. Then Education: bullet list. Then Desired Skills: bullet list. Then About Nyla Technology Solutions: paragraph. Then "Taking Care of All of You Nyla provides a top-of-market compensation and benefits package..." details about benefits: Nyla FLEX program, pay, leave, schedule, health care, 401k matching, professional development, student loan repayment, volunteering. We need to include sections only if real specific content. So we can have sections: About the role (maybe combine with About Nyla?), Responsibilities, Requirements (including security clearance, required skills, education), Qualifications (maybe same as Requirements? but we can combine), Skills (maybe separate Required and Desired?), Benefits, Pay, Schedule. But we must avoid thin sections. Let's decide: We'll have sections: About the role (intro paragraph), Responsibilities (the duties), Required Skills (list), Desired Skills (list), Education (list), Benefits (the Nyla FLEX details), Pay (salary range), Schedule (maybe part of Benefits? but we have specific schedule info in Nyla FLEX: ability to scale down to 30-32 hours, etc. So we can have Schedule section.) We must not repeat job title as heading. So no heading for "Data Science & Access Discovery Specialist". Good. We need to use
for each section heading.
We need to use - for any list of duties/requirements/benefits. For prose use
.
We must preserve ALL substantive information; do not invent or summarize away detail. So we need to keep details like "4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company." etc.
We must remove boilerplate: "Nyla is an equal opportunity employer." Also "To learn more about Nyla's culture and our exceptional benefit packages click here." Also maybe "If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team," is somewhat fluff but maybe keep? It's part of About Nyla? It's somewhat promotional but not boilerplate? It's still substantive? Might be considered fluff but it's part of the description. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. That line is not exactly boilerplate but it's a call to apply? It's encouraging to join. Might be considered application instruction? It's not explicit instruction to apply. I'd keep it as part of About Nyla.
We need to ensure we don't include duplicated lines. There's some duplication? Not obvious.
Now produce HTML.
Structure:
About the role
We are seeking an inventive, mission-driven Data Science & Access Discovery Specialist with background in target development, Digital Network Intelligence (DNI), or Technical SIGINT (TechSIGINT). In this high-impact role, you will apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling directly to complex, large-scale telecommunications, mobile, and network datasets. You will bridge advanced discovery analysis with automated data science—building, deploying, and refining ML models, creating scalable data pipelines, and developing interactive analytic prototypes to uncover hidden intelligence.
Responsibilities
Apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling to large-scale telecommunications, mobile, and network datasets; build, deploy, and refine ML models; create scalable data pipelines; develop interactive analytic prototypes to uncover hidden intelligence.
But we already covered that in About the role. Might be redundant. Perhaps better to have About the role as short intro, Responsibilities as list of duties. However the instructions: Use - for any list of duties/requirements/benefits. So we could make Responsibilities a
- list.
Let's extract duties: "apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling directly to complex, large-scale telecommunications, mobile, and network datasets." "bridge advanced discovery analysis with automated data science—building, deploying, and refining ML models, creating scalable data pipelines, and developing interactive analytic prototypes to uncover hidden intelligence."
We can split into two li.
Responsibilities
- Apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling to complex, large-scale telecommunications, mobile, and network datasets.
- Bridge advanced discovery analysis with automated data science by building, deploying, and refining ML models; creating scalable data pipelines; and developing interactive analytic prototypes to uncover hidden intelligence.
Now Required Skills: list.
We have Required Skills bullet list: Operational Target & Access Discovery, Applied AI/ML & Predictive Modeling, Large-Scale Data Processing, Data Modeling & Visualization, Prototyping & Automation, Adaptability.
We'll put each as - .
Also Education: bullet list with three options.
We could combine Required Skills and Education under Requirements or Qualifications. But we need headings: maybe "Requirements" includes security clearance, required skills, education. Or separate "Required Skills" and "Education". The instruction: use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can have Requirements (maybe includes security clearance and required skills), Qualifications (education), Skills (maybe desired skills). But we need to avoid thin sections. Let's think.
We have security clearance statement: "ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED". That's a requirement.
We have Required Skills list.
We have Education list.
We have Desired Skills list.
We could have:
Requirements
Active security clearance at the TS/SCI polygraph level is required.
- Operational Target & Access Discovery: Background performing as a Digital Network Exploitation Analyst (DNE), Target Digital Network Analyst (TDNA), Targeteer, or Access Discovery Analyst with a focus on telecommunications, mobile networks, and network access discovery.
- Applied AI/ML & Predictive Modeling: Hands-on experience developing, deploying, and assessing machine learning models, computational mathematics, and advanced statistical/predictive modeling techniques on large datasets.
- Large-Scale Data Processing: Practical experience processing massive datasets using distributed frameworks and cloud platforms (e.g., Apache Spark).
- Data Modeling & Visualization: Expertise in quantitative/qualitative data techniques, feature engineering, and creating interactive data visualizations to communicate analytic insights.
- Prototyping & Automation: Strong scripting and automation skills to build data science prototypes, integrate TechSIGINT tools, and streamline analytical workflows.
- Adaptability: Demonstrated capability to quickly adapt to novel tools, emerging AI/ML technologies, and shifting mission environments.
Then Qualifications (Education):
Qualifications
- Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Machine Learning, or a related quantitative field, PLUS 7+ years of professional data science or ML engineering experience
- OR Master’s Degree in a related quantitative discipline, PLUS 5+ years of specialized experience in AI/ML development and analytics
- OR High School Diploma / GED, PLUS 11+ years of technical experience in data science, machine learning, and advanced analytics in lieu of a degree.
Then Skills (Desired Skills):
Skills
- Telecommunications & Mobile Protocol Knowledge: Deep understanding of modern telecommunications architectures, mobile communication protocols, and signal transport dynamics.
- TechSIGINT Analytics: Direct familiarity with specialized TechSIGINT processing tools, metadata parsing, and network discovery frameworks.
- Cloud Architecture: Experience working within enterprise cloud data platforms to scale analytic prototypes into production environments.
Now Benefits: we have Nyla FLEX program details. We'll need to capture all specifics.
We have:
"Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place."
We need to turn this into a Benefits section
. We must preserve ALL substantive information; do not invent or summarize away detail. So we need to keep details like "4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company." etc. We must remove boilerplate: "Nyla is an equal opportunity employer." Also "To learn more about Nyla's culture and our exceptional benefit packages click here." Also maybe "If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team," is somewhat fluff but maybe keep? It's part of About Nyla? It's somewhat promotional but not boilerplate? It's still substantive? Might be considered fluff but it's part of the description. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. That line is not exactly boilerplate but it's a call to apply? It's encouraging to join. Might be considered application instruction? It's not explicit instruction to apply. I'd keep it as part of About Nyla. We need to ensure we don't include duplicated lines. There's some duplication? Not obvious. Now produce HTML. Structure:
About the role
We are seeking an inventive, mission-driven Data Science & Access Discovery Specialist with background in target development, Digital Network Intelligence (DNI), or Technical SIGINT (TechSIGINT). In this high-impact role, you will apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling directly to complex, large-scale telecommunications, mobile, and network datasets. You will bridge advanced discovery analysis with automated data science—building, deploying, and refining ML models, creating scalable data pipelines, and developing interactive analytic prototypes to uncover hidden intelligence.
Responsibilities
Apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling to large-scale telecommunications, mobile, and network datasets; build, deploy, and refine ML models; create scalable data pipelines; develop interactive analytic prototypes to uncover hidden intelligence.
But we already covered that in About the role. Might be redundant. Perhaps better to have About the role as short intro, Responsibilities as list of duties. However the instructions: Use- for any list of duties/requirements/benefits. So we could make Responsibilities a
- list.
Let's extract duties: "apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling directly to complex, large-scale telecommunications, mobile, and network datasets." "bridge advanced discovery analysis with automated data science—building, deploying, and refining ML models, creating scalable data pipelines, and developing interactive analytic prototypes to uncover hidden intelligence."
We can split into two li.
Responsibilities
- Apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling to complex, large-scale telecommunications, mobile, and network datasets.
- Bridge advanced discovery analysis with automated data science by building, deploying, and refining ML models; creating scalable data pipelines; and developing interactive analytic prototypes to uncover hidden intelligence.
- .
Also Education: bullet list with three options.
We could combine Required Skills and Education under Requirements or Qualifications. But we need headings: maybe "Requirements" includes security clearance, required skills, education. Or separate "Required Skills" and "Education". The instruction: use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can have Requirements (maybe includes security clearance and required skills), Qualifications (education), Skills (maybe desired skills). But we need to avoid thin sections. Let's think.
We have security clearance statement: "ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED". That's a requirement.
We have Required Skills list.
We have Education list.
We have Desired Skills list.
We could have:
Requirements
Active security clearance at the TS/SCI polygraph level is required.
- Operational Target & Access Discovery: Background performing as a Digital Network Exploitation Analyst (DNE), Target Digital Network Analyst (TDNA), Targeteer, or Access Discovery Analyst with a focus on telecommunications, mobile networks, and network access discovery.
- Applied AI/ML & Predictive Modeling: Hands-on experience developing, deploying, and assessing machine learning models, computational mathematics, and advanced statistical/predictive modeling techniques on large datasets.
- Large-Scale Data Processing: Practical experience processing massive datasets using distributed frameworks and cloud platforms (e.g., Apache Spark).
- Data Modeling & Visualization: Expertise in quantitative/qualitative data techniques, feature engineering, and creating interactive data visualizations to communicate analytic insights.
- Prototyping & Automation: Strong scripting and automation skills to build data science prototypes, integrate TechSIGINT tools, and streamline analytical workflows.
- Adaptability: Demonstrated capability to quickly adapt to novel tools, emerging AI/ML technologies, and shifting mission environments.
Qualifications
- Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Machine Learning, or a related quantitative field, PLUS 7+ years of professional data science or ML engineering experience
- OR Master’s Degree in a related quantitative discipline, PLUS 5+ years of specialized experience in AI/ML development and analytics
- OR High School Diploma / GED, PLUS 11+ years of technical experience in data science, machine learning, and advanced analytics in lieu of a degree.
Skills
- Telecommunications & Mobile Protocol Knowledge: Deep understanding of modern telecommunications architectures, mobile communication protocols, and signal transport dynamics.
- TechSIGINT Analytics: Direct familiarity with specialized TechSIGINT processing tools, metadata parsing, and network discovery frameworks.
- Cloud Architecture: Experience working within enterprise cloud data platforms to scale analytic prototypes into production environments.
- list.
Let's extract duties: "apply cutting-edge Machine Learning (AI/ML) techniques, computational mathematics, and predictive modeling directly to complex, large-scale telecommunications, mobile, and network datasets." "bridge advanced discovery analysis with automated data science—building, deploying, and refining ML models, creating scalable data pipelines, and developing interactive analytic prototypes to uncover hidden intelligence."
We can split into two li.