Data Science Manager
GigFinder.ai · Indiana, United States · 4 wk ago
Information Technology$189k/yrFull-time
We need to output HTML fragment with headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Remove boilerplate.
We need to parse the job posting.
Key info:
- Company: USA TODAY Co., Inc. (but we don't repeat job title as heading; job title is Data Science Manager)
- Job Description: includes responsibilities etc.
We need to extract sections:
About the role: maybe a brief description of role? The posting includes "Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems." That's more responsibilities.
We could have sections: Responsibilities, Requirements, Qualifications, Skills, Pay, Benefits, Schedule.
We need to see what content exists.
Responsibilities: list of duties: lead team, design/deploy predictive models, drive organizational data and strategy, establish/enforce data science standards, evaluate and implement cutting-edge tools, coordinate project delivery timelines, monitor/report KPIs, supervises 2 direct reports, 100% Telecommuting permitted (maybe schedule). Also "Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs". Also "Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals."
Requirements: Minimum Education & Experience Requirements: Bachelors degree in Data Science, Engineering, or related field, or foreign equivalent plus 3 years of post-baccalaureate experience in job offered or any leadership role in data science or analytics.
Then there is a list of specific experience requirements: "Requires 3 Years Of Experience In Applying descriptive statistics and identifying data trends with machine learning algorithms Building and optimizing model performance with R programming and Python Designing and implementing deployment environment, scaling the models and resolving issues using AWS, AZURE, Docker cloud technologies Evaluating data structure and performing data transformation with R, Python and MySQL Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals."
These could be considered Requirements or Qualifications or Skills. We need to decide.
Qualifications: maybe education + experience.
Skills: specific technical skills: R, Python, AWS, Azure, Docker, MySQL, ggplot, Rshiny, descriptive statistics, machine learning algorithms, etc.
Benefits: Not mentioned explicitly. There's no benefits section. So we should not include Benefits.
Pay: Salary range: $189,259 $195,000//year (looks like formatting weird). It says "Salary range: $189,259 $195,000//year". Probably means $189,259 - $195,000 per year. We'll include Pay section with that.
Schedule: "100% Telecommuting permitted." Also maybe full-time. The posting says "Full-time or part-time: Full-time". So schedule: Full-time, 100% Telecommuting permitted. So we can include Schedule section.
About the role: maybe a brief overview: "Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems." Could be considered About the role. But we already have Responsibilities covering similar. To avoid duplication, we could put About the role as a short paragraph summarizing role, and Responsibilities as bullet list.
We need to preserve all substantive information, not invent or summarize away detail. So we must include all details.
Let's extract each piece:
- About the role: maybe the first sentence of Job Description: "Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems." That's a responsibility though. But we can treat as overview.
- Responsibilities: list items:
* Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems.
* Design and deploy predictive models and machine learning algorithms, ensuring model accuracy, scalability, and seamless integration with enterprise systems through collaboration with data engineering teams on efficient data pipeline architecture.
* Drive organizational data and strategy and partner with business leaders to deliver actionable insights that support strategic decision-making.
* Establish and enforce data science standards, methodologies, and governance frameworks to maintain data integrity and compliance.
* Evaluate and implement cutting-edge tools and technologies in AI, machine learning, and big data to maintain a competitive advantage.
* Coordinate project delivery timelines, resource allocation, and budget management for data science initiatives.
* Monitor and report on key performance indicators for data analytics programs, ensuring alignment with organizational objectives.
* Supervises 2 direct reports at a Data Scientist level.
* Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs.
* Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals.
* 100% Telecommuting permitted. (maybe schedule)
But note some items are duplicated: "Preparing analytics reports..." appears also in requirements list. We need to preserve all info; duplication okay but we should not repeat same sentence? The instruction: "Remove duplicated lines". So we should deduplicate identical lines. The line "Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs" appears both in responsibilities and in requirements list. We should include it only once. Similarly "Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals." appears both. Also "100% Telecommuting permitted." appears twice.
We need to decide where to place each unique piece.
Let's list unique pieces:
From responsibilities (unique):
- Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems.
- Design and deploy predictive models and machine learning algorithms, ensuring model accuracy, scalability, and seamless integration with enterprise systems through collaboration with data engineering teams on efficient data pipeline architecture.
- Drive organizational data and strategy and partner with business leaders to deliver actionable insights that support strategic decision-making.
- Establish and enforce data science standards, methodologies, and governance frameworks to maintain data integrity and compliance.
- Evaluate and implement cutting-edge tools and technologies in AI, machine learning, and big data to maintain a competitive advantage.
- Coordinate project delivery timelines, resource allocation, and budget management for data science initiatives.
- Monitor and report on key performance indicators for data analytics programs, ensuring alignment with organizational objectives.
- Supervises 2 direct reports at a Data Scientist level.
From requirements list (unique after removing duplicates):
- Applying descriptive statistics and identifying data trends with machine learning algorithms
- Building and optimizing model performance with R programming and Python
- Designing and implementing deployment environment, scaling the models and resolving issues using AWS, AZURE, Docker cloud technologies
- Evaluating data structure and performing data transformation with R, Python and MySQL
- Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs (duplicate, but we already have? Not in responsibilities list; we didn't include that as responsibility; we could include it under Skills or Requirements)
- Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals (duplicate)
- 100% Telecommuting permitted (duplicate)
Education requirement: Bachelors degree in Data Science, Engineering, or a related field, or a foreign equivalent plus 3 years of post-baccalaureate experience in job offered or any leadership role in data science or analytics.
Also "Requires 3 Years Of Experience In" heading before the list; we can treat as part of requirements.
Thus we can structure:
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Remove boilerplate.
We need to parse the job posting.
Key info:
- Company: USA TODAY Co., Inc. (but we don't repeat job title as heading; job title is Data Science Manager)
- Job Description: includes responsibilities etc.
We need to extract sections:
About the role: maybe a brief description of role? The posting includes "Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems." That's more responsibilities.
We could have sections: Responsibilities, Requirements, Qualifications, Skills, Pay, Benefits, Schedule.
We need to see what content exists.
Responsibilities: list of duties: lead team, design/deploy predictive models, drive organizational data and strategy, establish/enforce data science standards, evaluate and implement cutting-edge tools, coordinate project delivery timelines, monitor/report KPIs, supervises 2 direct reports, 100% Telecommuting permitted (maybe schedule). Also "Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs". Also "Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals."
Requirements: Minimum Education & Experience Requirements: Bachelors degree in Data Science, Engineering, or related field, or foreign equivalent plus 3 years of post-baccalaureate experience in job offered or any leadership role in data science or analytics.
Then there is a list of specific experience requirements: "Requires 3 Years Of Experience In Applying descriptive statistics and identifying data trends with machine learning algorithms Building and optimizing model performance with R programming and Python Designing and implementing deployment environment, scaling the models and resolving issues using AWS, AZURE, Docker cloud technologies Evaluating data structure and performing data transformation with R, Python and MySQL Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals."
These could be considered Requirements or Qualifications or Skills. We need to decide.
Qualifications: maybe education + experience.
Skills: specific technical skills: R, Python, AWS, Azure, Docker, MySQL, ggplot, Rshiny, descriptive statistics, machine learning algorithms, etc.
Benefits: Not mentioned explicitly. There's no benefits section. So we should not include Benefits.
Pay: Salary range: $189,259 $195,000//year (looks like formatting weird). It says "Salary range: $189,259 $195,000//year". Probably means $189,259 - $195,000 per year. We'll include Pay section with that.
Schedule: "100% Telecommuting permitted." Also maybe full-time. The posting says "Full-time or part-time: Full-time". So schedule: Full-time, 100% Telecommuting permitted. So we can include Schedule section.
About the role: maybe a brief overview: "Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems." Could be considered About the role. But we already have Responsibilities covering similar. To avoid duplication, we could put About the role as a short paragraph summarizing role, and Responsibilities as bullet list.
We need to preserve all substantive information, not invent or summarize away detail. So we must include all details.
Let's extract each piece:
- About the role: maybe the first sentence of Job Description: "Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems." That's a responsibility though. But we can treat as overview.
- Responsibilities: list items:
* Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems.
* Design and deploy predictive models and machine learning algorithms, ensuring model accuracy, scalability, and seamless integration with enterprise systems through collaboration with data engineering teams on efficient data pipeline architecture.
* Drive organizational data and strategy and partner with business leaders to deliver actionable insights that support strategic decision-making.
* Establish and enforce data science standards, methodologies, and governance frameworks to maintain data integrity and compliance.
* Evaluate and implement cutting-edge tools and technologies in AI, machine learning, and big data to maintain a competitive advantage.
* Coordinate project delivery timelines, resource allocation, and budget management for data science initiatives.
* Monitor and report on key performance indicators for data analytics programs, ensuring alignment with organizational objectives.
* Supervises 2 direct reports at a Data Scientist level.
* Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs.
* Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals.
* 100% Telecommuting permitted. (maybe schedule)
But note some items are duplicated: "Preparing analytics reports..." appears also in requirements list. We need to preserve all info; duplication okay but we should not repeat same sentence? The instruction: "Remove duplicated lines". So we should deduplicate identical lines. The line "Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs" appears both in responsibilities and in requirements list. We should include it only once. Similarly "Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals." appears both. Also "100% Telecommuting permitted." appears twice.
We need to decide where to place each unique piece.
Let's list unique pieces:
From responsibilities (unique):
- Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems.
- Design and deploy predictive models and machine learning algorithms, ensuring model accuracy, scalability, and seamless integration with enterprise systems through collaboration with data engineering teams on efficient data pipeline architecture.
- Drive organizational data and strategy and partner with business leaders to deliver actionable insights that support strategic decision-making.
- Establish and enforce data science standards, methodologies, and governance frameworks to maintain data integrity and compliance.
- Evaluate and implement cutting-edge tools and technologies in AI, machine learning, and big data to maintain a competitive advantage.
- Coordinate project delivery timelines, resource allocation, and budget management for data science initiatives.
- Monitor and report on key performance indicators for data analytics programs, ensuring alignment with organizational objectives.
- Supervises 2 direct reports at a Data Scientist level.
From requirements list (unique after removing duplicates):
- Applying descriptive statistics and identifying data trends with machine learning algorithms
- Building and optimizing model performance with R programming and Python
- Designing and implementing deployment environment, scaling the models and resolving issues using AWS, AZURE, Docker cloud technologies
- Evaluating data structure and performing data transformation with R, Python and MySQL
- Preparing analytics reports with ggplot and Rshiny visualization packages to stakeholders and team members to improve KPIs (duplicate, but we already have? Not in responsibilities list; we didn't include that as responsibility; we could include it under Skills or Requirements)
- Managing and mentoring a team of data scientists and analysts, setting performance metrics and team goals (duplicate)
- 100% Telecommuting permitted (duplicate)
Education requirement: Bachelors degree in Data Science, Engineering, or a related field, or a foreign equivalent plus 3 years of post-baccalaureate experience in job offered or any leadership role in data science or analytics.
Also "Requires 3 Years Of Experience In" heading before the list; we can treat as part of requirements.
Thus we can structure:
About the role
Lead a team of data scientists/analysts in the design, development, and deployment of advanced analytics, machine learning, and AI solutions to address complex business problems.
Responsibilities
- Design and deploy predictive models and machine learning algorithms, ensuring model accuracy, scalability, and seamless integration with enterprise systems through collaboration with data engineering teams on efficient data pipeline architecture.
- Drive organizational data and strategy and partner with business leaders to deliver actionable insights that support strategic decision-making.
- Establish and enforce data science standards, methodologies, and governance frameworks to maintain data integrity and compliance.
- Evaluate and implement cutting-edge tools and technologies in AI, machine learning, and big data to maintain a competitive advantage.
- Coordinate project delivery timelines, resource allocation, and budget management for data science initiatives.
- Monitor and report on key performance indicators for data analytics programs, ensuring alignment with organizational objectives.
- Supervises 2 direct reports at a Data Scientist level.
Requirements
- Bachelor's degree in Data Science, Engineering, or a related field, or a foreign equivalent plus 3 years of post-baccalaureate experience in the job offered or any leadership role in data science or analytics.
- Applying descriptive statistics and identifying data trends with machine learning algorithms.
- Building and optimizing model performance with R programming and Python.
- Designing and implementing deployment environment, scaling the models and resolving issues using AWS, Azure, Docker cloud technologies.
- Evaluating data structure and performing data transformation with R, Python and MySQL.
Skills
- R programming
- Python
- AWS
- Azure
- Docker
- MySQL
- ggplot
- Rshiny
- Descriptive statistics
- Machine learning algorithms
- Data visualization
- Team management and mentoring