0 Technical Leadership jobs in the United States
ServiceNow Solution Architect (Senior Manager)
Job Viewed
Job Description
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
Join our team as the expert you are now and create your future.
Huron Consulting Group is seeking an accomplished and strategic ServiceNow Solution Architect to join our innovative Education & Research Digital team. This is a pivotal opportunity for a seasoned professional with deep ServiceNow expertise, strong leadership capabilities, significant industry experience, and a consultative mindset to help our higher education clients realize transformative outcomes. If you thrive in dynamic, fast-paced environments and are excited to architect complex, enterprise-scale solutions, we invite you to shape the future with us.
Education & Research at Huron
Huron's Education & Research industry is committed to providing unparalleled expertise by offering the most comprehensive services in the market and collaborating with institutions to enhance business performance across the enterprise. We support a variety of clients in higher education, including public and private institutions, community colleges, and research institutes; healthcare entities such as academic medical centers and cancer centers; and other emerging areas like non-profits, independent schools, and international organizations. Our team's strategic focus areas include research consultation and administration, strategy and innovation, business operations, organizational transformation, student and alumni lifecycle strategies, global philanthropy, and digital transformation. These comprehensive, strategic, and operational solutions empower our clients to navigate and excel in this era of rapid transformation.
Position Overview
As a ServiceNow Solution Architect, you will lead the design, assessment, enhancement, and integration of advanced ServiceNow solutions for Huron's clients. You will serve as a trusted advisor, steering strategic engagements and overseeing technical excellence from discovery through delivery. Leveraging your expertise in ServiceNow and in integrating with enterprise platforms such as Workday and Oracle, you will drive clarity, direction, and innovation in ambiguous and high-impact client environments.
Key Responsibilities
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Provide technical leadership and vision for the architecture, design, and deployment of complex ServiceNow solutions aligned with client business objectives and industry best practices.
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Advise clients on ServiceNow capabilities, limitations, and optimal use, demonstrating how the platform can address business needs and accelerate digital transformation.
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Architect and manage integrations between ServiceNow and key enterprise systems, including but not limited to Oracle, Workday, SAP, and Salesforce, ensuring seamless, scalable, and secure data exchange.
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Guide requirements gathering by collaborating with stakeholders to elicit and translate business, functional, and technical needs into robust solution designs.
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Apply structured thinking and project execution methodologies to deliver clarity, actionable plans, and successful outcomes in complex environments.
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Establish, enforce, and champion technical standards, best practices, and quality assurance protocols for all ServiceNow implementations and integrations.
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Create and maintain comprehensive architecture documentation, integration specifications, and operational guides for client solutions.
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Facilitate effective, transparent communication with executive stakeholders, business users, developers, and project managers, ensuring alignment throughout the project lifecycle.
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Proactively assess emerging ServiceNow features, integration technologies, and market trends, recommending enhancements and innovations for client benefit.
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Mentor and develop junior consultants and technical teams, fostering a culture of learning, collaboration, and technical excellence.
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Lead multiple client engagements simultaneously, ensuring technical feasibility, strategic alignment, and delivery of measurable business value.
Required Qualifications
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Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; Master's degree preferred.
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Extensive, progressive experience as a Solution Architect, Technical Consultant, or Lead Developer working with the ServiceNow platform.
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Demonstrated ability to lead and operate in fast-paced, ambiguous environments, providing clarity and structure through technical leadership and a consultative approach.
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Strong hands-on knowledge of ServiceNow modules, including ITSM, ITOM, HRSD, CSM, and CMDB.
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Proven experience architecting and implementing integrations between ServiceNow and at least two enterprise platforms, with particular emphasis on Workday and/or Oracle integrations (e.g., Oracle Cloud, Oracle eBS, Workday HCM, etc.).
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Expertise with integration technologies such as REST/SOAP APIs, ETL, middleware solutions (e.g., MuleSoft, Dell Boomi), and web services.
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Demonstrated skill in designing secure, scalable, and reliable integrations between ServiceNow and other enterprise applications.
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Excellent written and verbal communication skills with the ability to present complex technical concepts to non-technical and executive audiences.
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Strong analytical and creative problem-solving abilities, with a track record of developing innovative solutions to complex challenges.
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Experience with agile methodologies and project management practices.
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Relevant ServiceNow certifications (e.g., Certified System Administrator, Certified Implementation Specialist, ServiceNow Architect) highly desirable.
Flexible living locations across the U.S with travel required for client engagements and team collaboration up to 30%.
Preferred Skills & Attributes
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Experience implementing ServiceNow solutions in higher education and academic medical centers
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Experience in large-scale consulting environments and transformational projects.
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Ability to translate ambiguous requirements into actionable architecture and implementation plans.
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Exposure to cloud solution architectures (AWS, Azure, GCP) and SaaS platforms.
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Proficiency with data modeling, workflow automation, and custom application development on ServiceNow.
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Strong business acumen and the ability to connect technology solutions to broader organizational goals.
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Demonstrated experience mentoring and developing technical talent.
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Passion for learning and staying at the forefront of technology trends.
Why Join Huron?
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Impact: Shape the digital future for leading organizations by architecting transformative ServiceNow solutions.
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Growth: Access robust training, mentorship, and career advancement opportunities in a culture that values innovation and curiosity.
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Collaboration: Work alongside passionate colleagues in an environment that embraces diversity, creativity, and shared success.
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Recognition: Be a part of an industry-recognized consulting leader with proven expertise in technology-enabled business transformation.
The estimated base salary for this job is $155,000 - $85,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is 178,250 - 231,250 USD. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
Position Level
Senior Manager
Country
United States of America
At Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work.together.
Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron.
Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.
Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements.
Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.
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Data Scientist (Technical Leadership)
Posted 4 days ago
Job Viewed
Job Description
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
15. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
17. Masters or Ph.D. Degree in a quantitative field
18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
19. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Data Scientist (Technical Leadership)
Posted 6 days ago
Job Viewed
Job Description
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
15. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
17. Masters or Ph.D. Degree in a quantitative field
18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
19. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Software Engineer (Technical Leadership)
Posted 6 days ago
Job Viewed
Job Description
Meta is seeking a Software Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
**Required Skills:**
Software Engineer (Technical Leadership) Responsibilities:
1. Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
2. Effectively communicate complex features & systems in detail.
3. Understand industry & company-wide trends to help assess & develop new technologies.
4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
6. Suggest, collect and synthesize requirements and create an effective feature roadmap.
7. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
10. Experience leading projects with industry-wide impact.
11. Experience communicating and working across functions to drive solutions.
12. Experience in mentoring/influencing engineers across organizations.
13. Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
14. Experience in driving large cross-functional/industry-wide engineering efforts.
15. 12+ years of experience in programming languages (Python, C++, or Java) with technical background.
16. 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods.
**Preferred Qualifications:**
Preferred Qualifications:
17. Experience in shipping products to millions of customers or have started a new line of product.
**Public Compensation:**
$264,000/year to $342,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Data Scientist (Technical Leadership)
Posted 6 days ago
Job Viewed
Job Description
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
15. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
17. Masters or Ph.D. Degree in a quantitative field
18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
19. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Software Engineer (Technical Leadership)
Posted 6 days ago
Job Viewed
Job Description
Meta is seeking a Software Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
**Required Skills:**
Software Engineer (Technical Leadership) Responsibilities:
1. Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
2. Effectively communicate complex features & systems in detail.
3. Understand industry & company-wide trends to help assess & develop new technologies.
4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
6. Suggest, collect and synthesize requirements and create an effective feature roadmap.
7. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
10. Experience leading projects with industry-wide impact.
11. Experience communicating and working across functions to drive solutions.
12. Experience in mentoring/influencing engineers across organizations.
13. Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
14. Experience in driving large cross-functional/industry-wide engineering efforts.
15. 12+ years of experience in programming languages (Python, C++, or Java) with technical background.
16. 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods.
**Preferred Qualifications:**
Preferred Qualifications:
17. Experience in shipping products to millions of customers or have started a new line of product.
**Public Compensation:**
$264,000/year to $342,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Data Scientist (Technical Leadership)
Posted 6 days ago
Job Viewed
Job Description
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
15. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
17. Masters or Ph.D. Degree in a quantitative field
18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
19. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Software Engineer (Technical Leadership)
Posted 6 days ago
Job Viewed
Job Description
Meta is seeking a Software Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
**Required Skills:**
Software Engineer (Technical Leadership) Responsibilities:
1. Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
2. Effectively communicate complex features & systems in detail.
3. Understand industry & company-wide trends to help assess & develop new technologies.
4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
6. Suggest, collect and synthesize requirements and create an effective feature roadmap.
7. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
10. Experience leading projects with industry-wide impact.
11. Experience communicating and working across functions to drive solutions.
12. Experience in mentoring/influencing engineers across organizations.
13. Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
14. Experience in driving large cross-functional/industry-wide engineering efforts.
15. 12+ years of experience in programming languages (Python, C++, or Java) with technical background.
16. 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods.
**Preferred Qualifications:**
Preferred Qualifications:
17. Experience in shipping products to millions of customers or have started a new line of product.
**Public Compensation:**
$264,000/year to $342,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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Data Scientist (Technical Leadership)
Posted 6 days ago
Job Viewed
Job Description
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
15. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
17. Masters or Ph.D. Degree in a quantitative field
18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
19. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Software Engineer (Technical Leadership)
Posted 6 days ago
Job Viewed
Job Description
Meta is seeking a Software Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
**Required Skills:**
Software Engineer (Technical Leadership) Responsibilities:
1. Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
2. Effectively communicate complex features & systems in detail.
3. Understand industry & company-wide trends to help assess & develop new technologies.
4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
6. Suggest, collect and synthesize requirements and create an effective feature roadmap.
7. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
10. Experience leading projects with industry-wide impact.
11. Experience communicating and working across functions to drive solutions.
12. Experience in mentoring/influencing engineers across organizations.
13. Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
14. Experience in driving large cross-functional/industry-wide engineering efforts.
15. 12+ years of experience in programming languages (Python, C++, or Java) with technical background.
16. 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods.
**Preferred Qualifications:**
Preferred Qualifications:
17. Experience in shipping products to millions of customers or have started a new line of product.
**Public Compensation:**
$264,000/year to $342,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Data Scientist (Technical Leadership)
Posted 6 days ago
Job Viewed
Job Description
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
15. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
17. Masters or Ph.D. Degree in a quantitative field
18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
19. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at