521 Research jobs in College Park

Manager, Data Analysis -Compliance Testing

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications:

• Currently has, or is in the process of obtaining a:

• Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or

• Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $180,800 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

**Job Family** **:**
Nurse (Digital)
**Travel Required** **:**
None
**Clearance Required** **:**
Ability to Obtain Public Trust
**What You Will Do** **:**
We are currently searching for a Research Nurse to work in the transplant and cellular therapy with the Division of Intramural Research at NIH. In this position, the individual will have a critical role in the various protocol development, implementation, and evaluation activities. This role will also serve as a crucial part of a dynamic clinical team for several simultaneous research studies. This is a full-time opportunity located in Bethesda, MD.
+ Educate and counsel patients participating in clinical trials, including, following up with patients in long-term studies and providing Q&A time via phone to patients.
+ Work with a diverse team of health care providers, such as, physicians, advanced practitioners, patient care coordinators, and data managers to service patients and conduct clinical research.
+ Facilitate patient recruitment and enrollment into ongoing clinical trials.
+ Ensure compliance with protocol and regulatory requirements.
+ Support ongoing research and clinical programs at NHLBI and NIH Clinical Center.
+ Manage clinical research data and providing data quality assurance.
**What You Will Need** **:**
+ Bachelor's Degree in Nursing.
+ Active, current license as a registered nurse in the United States, the Commonwealth of Puerto Rico, or a territory of the United States.
+ A minimum of TWO (2) years of clinical research experience in transplant, hematology, and/or oncology.
+ Strong background in clinical research, preferably with experience beyond healthy volunteer studies
+ Demonstrated ability to work with both healthy volunteers and medically complex patients
+ Experience supporting Phase 1 and Phase 2 clinical trials
+ Skilled in managing the unique needs of very ill patients in a research setting
**What Would Be Nice To Have** **:**
+ Prior experience at the NIH Clinical Center is highly preferred
+ Excellent interpersonal and communication skills for working in a multidisciplinary team
+ Ability to adapt to fast-paced, high-acuity research environments
+ Previous experience working with the National Institute of Health (NIH) preferred.
The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
**What We Offer:**
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
+ Medical, Rx, Dental & Vision Insurance
+ Personal and Family Sick Time & Company Paid Holidays
+ Parental Leave
+ 401(k) Retirement Plan
+ Group Term Life and Travel Assistance
+ Voluntary Life and AD&D Insurance
+ Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
+ Transit and Parking Commuter Benefits
+ Short-Term & Long-Term Disability
+ Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
+ Employee Referral Program
+ Corporate Sponsored Events & Community Outreach
+ Care.com annual membership
+ Employee Assistance Program
+ Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
+ Position may be eligible for a discretionary variable incentive bonus
**About Guidehouse**
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
_Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee._

**Job Family** **:**
Nurse (Digital)
**Travel Required** **:**
None
**Clearance Required** **:**
Ability to Obtain Public Trust
**What You Will Do** **:**
We are currently searching for a Research Nurse to work in the transplant and cellular therapy with the Division of Intramural Research at NIH. In this position, the individual will have a critical role in the various protocol development, implementation, and evaluation activities. This role will also serve as a crucial part of a dynamic clinical team for several simultaneous research studies. This is a full-time opportunity located in Bethesda, MD.
+ Educate and counsel patients participating in clinical trials, including, following up with patients in long-term studies and providing Q&A time via phone to patients.
+ Work with a diverse team of health care providers, such as, physicians, advanced practitioners, patient care coordinators, and data managers to service patients and conduct clinical research.
+ Facilitate patient recruitment and enrollment into ongoing clinical trials.
+ Ensure compliance with protocol and regulatory requirements.
+ Support ongoing research and clinical programs at NHLBI and NIH Clinical Center.
+ Manage clinical research data and providing data quality assurance.
**What You Will Need** **:**
+ Bachelor's Degree in Nursing.
+ Active, current license as a registered nurse in the United States, the Commonwealth of Puerto Rico, or a territory of the United States.
+ A minimum of TWO (2) years of clinical research experience in transplant, hematology, and/or oncology.
+ Strong background in clinical research, preferably with experience beyond healthy volunteer studies
+ Demonstrated ability to work with both healthy volunteers and medically complex patients
+ Experience supporting Phase 1 and Phase 2 clinical trials
+ Skilled in managing the unique needs of very ill patients in a research setting
**What Would Be Nice To Have** **:**
+ Prior experience at the NIH Clinical Center is highly preferred
+ Excellent interpersonal and communication skills for working in a multidisciplinary team
+ Ability to adapt to fast-paced, high-acuity research environments
+ Previous experience working with the National Institute of Health (NIH) preferred.
The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
**What We Offer:**
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
+ Medical, Rx, Dental & Vision Insurance
+ Personal and Family Sick Time & Company Paid Holidays
+ Parental Leave
+ 401(k) Retirement Plan
+ Group Term Life and Travel Assistance
+ Voluntary Life and AD&D Insurance
+ Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
+ Transit and Parking Commuter Benefits
+ Short-Term & Long-Term Disability
+ Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
+ Employee Referral Program
+ Corporate Sponsored Events & Community Outreach
+ Care.com annual membership
+ Employee Assistance Program
+ Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
+ Position may be eligible for a discretionary variable incentive bonus
**About Guidehouse**
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
_Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee._

**Job Family** **:**
Nurse (Digital)
**Travel Required** **:**
None
**Clearance Required** **:**
Ability to Obtain Public Trust
**What You Will Do** **:**
We are currently searching for a Research Nurse to satisfy the overall operational objectives of the National Heart, Lung, and Blood Institute (NHLBI) through the provision of research support services. The individual will function within a team of clinical providers and research support staff to support the coordination and execution of NHLBI research protocols. This is a full-time opportunity located in Bethesda, MD.
+ Work with a diverse clinical research team including physicians, advanced practice providers, patient care coordinators, protocol navigators, and data managers to support the coordination of NHLBI DIR research studies.
+ Coordinate clinical research activities to meet the protocol requirements and manage the research participant's experience throughout the life cycle of a study.
+ Educate and counsel patients participating in research studies, including following up with patients in long-term studies.
+ Facilitate patient recruitment and enrollment into ongoing research studies.
+ Support compliance with protocol regulatory requirements.
+ Manage clinical research data and support data quality assurance.
**What You Will Need** **:**
+ Bachelor's Degree in Nursing OR Associates in Nursing plus TWO (2) years of experience is equivalent to a Bachelors.
+ Active, current license as a registered nurse in the United States, the Commonwealth of Puerto Rico, or a territory of the United States.
+ A minimum of FOUR (4) years of nursing experience in one of the following clinical specialties: cardiology, pulmonary, hematology, hematology/oncology, vascular medicine, sickle cell disease.
+ Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
**What Would Be Nice To Have** **:**
+ Preferred experience working in clinical research coordination and/or clinical research certification.
+ Previous experience working with the National Institute of Health (NIH) preferred.
The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
**What We Offer:**
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
+ Medical, Rx, Dental & Vision Insurance
+ Personal and Family Sick Time & Company Paid Holidays
+ Parental Leave
+ 401(k) Retirement Plan
+ Group Term Life and Travel Assistance
+ Voluntary Life and AD&D Insurance
+ Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
+ Transit and Parking Commuter Benefits
+ Short-Term & Long-Term Disability
+ Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
+ Employee Referral Program
+ Corporate Sponsored Events & Community Outreach
+ Care.com annual membership
+ Employee Assistance Program
+ Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
+ Position may be eligible for a discretionary variable incentive bonus
**About Guidehouse**
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
_Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee._

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/year to $240,240/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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a university-level course, research project, internship, or thesis in the following:
14. 1. Algorithms, data structures, or systems software
15. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and
19. 6. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$225,569/year to $240,240/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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/year to $240,240/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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a university-level course, research project, internship, or thesis in the following:
14. 1. Algorithms, data structures, or systems software
15. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and
19. 6. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$225,569/year to $240,240/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

About Us

Korn Ferry is a global consulting firm that powers performance. We unlock the potential in your people and unleash transformation across your business - synchronizing strategy, operations, and talent to accelerate performance, fuel growth, and inspire a legacy of change. That's why the world's most forward-thinking companies across every major industry turn to us - for a shared commitment to lasting impact and the bold ambition to Be More Than.

Headquartered in Los Angeles, our over 9,000 colleagues globally serve clients in more than 50 countries. We offer five core capabilities that span the full talent lifecycle:

• Organizational Strategy
• Assessment and Succession
• Talent Acquisition
• Leadership Development
• Rewards and Benefits

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Job description

The Research Analyst position marks the entry point for a uniquely powerful career development track - one that can truly lead anywhere. As one of us, you will have endless opportunities to innovate, make an impact, and work with the best. You will also have plenty of freedom to chart your own course, as you grow and develop with our business.

Talent matters at our company. So, we have created a colleague-centric culture where everyone can make an impact - on our business, on our clients' businesses, and on their own careers. Some of the things that make our culture special:

Creativity - We look to one another to generate innovative solutions, not only for our clients but also for ourselves.

Collaboration - We work in an open environment with a borderless mentality, sharing the expertise of our team members around the world.

Performance - We are committed to exceeding client expectations, so high performance levels are a given.

Inclusivity - We encourage everyone to contribute to the success of the business; there is no role at that is insignificant.

Integrity - We believe that how you go about business is as important as business results.

Agility - We work in a fast-moving, dynamic industry where change is the only constant and flexibility is key to our success.

KEY RESPONSIBILITIES

The primary focus of the Research Analyst is supporting the practice in preparing for business development meetings and delivering on executive search projects. Typical job focus includes:

• Preparing company overviews for account teams
• Researching companies and developing target lists
• Identifying potential candidates from a variety of online and proprietary tools
• Calling companies to determine organization structure

A successful Research Analyst career path typically includes opportunities for promotion to Associate, which has extensive client contact and business development expectations. Career paths for successful candidates may also include a more senior Research position (e.g. "Knowledge Manager") for a sector or COE cluster.

Additional responsibilities for a Research Analyst may include:

Searcher ™ Data Quality Management and Entry: Consistently inputting and updating highly confidential candidate records in our proprietary Client Resource Management (CRM).

Business Development Support: Actively participating in designing the search and business development strategy with the Partner and Consultant; pro-active involvement as a valued team contributor throughout the search process from pitch to candidate development.

Candidate ID: Providing research in support of candidate identification and business development activities of the practice. Develops appropriate candidate "target" lists for Senior Associates using the phone, print materials and a wide range of online information resources.

Internal/External Call Participation: Attending and/or listening in on kick-off meetings, suggesting possible targets, and attending client briefings/meetings when possible; Attending or listening in on all applicable sector and practice meetings/calls.

Focus on Client and Candidate Service: Developing a full understanding of the search and the research needs of internal clients; Developing confidence and trust of both internal and external clients.

Market Intelligence: Teaming up on "proprietary" market intelligence projects in a Research Analyst sector and/or COE industry concentration; Proactively identifying and tracking organizational, industry, and/or functional trends and reporting findings.

YEAR ONE CRITICAL SUCCESS FACTORS

Learn the researcher role and become an effective member of the search team.

Master ability to identify relevant candidate backgrounds from a variety of sources including:

• Searcher Express™ (proprietary candidate database)
• LinkedIn, Capital IQ, BoardEx, Pitchbook, ZoomInfo, etc.
• Industry associations and trade publications

Manage time effectively to simultaneously balance research requests from multiple search teams. Actively engage with colleagues of all levels to create a culture of transparency, collaboration, respect, execution, and professionalism.

PROFESSIONAL EXPERIENCE/QUALIFICATIONS

Intelligence and Intellectual Curiosity: Must be genuinely interested in learning about people, business and industry characteristics/needs. Need the ability to quickly learn industry fundamentals and understand criteria for success. Importantly, they must have a high "EQ" (Emotional (Maturity) Quotient). Need sufficient conceptual skills to understand broad industry concepts and analytical skills to "drill down" to determine depth of experience.

High Energy Level: Must work on multiple assignments simultaneously, adhering to best practice guidelines. Must be willing to work hours required to complete the assignment. "Street Smarts " The ability to quickly discern the criteria most important for candidate success in a particular search and think in a non-linear fashion so as to work smarter and creatively; Listen to and process candidate information in such a way as to determine likely fit with the opportunity and quickly "close" the conversation to specific next steps or additional source or candidate identification.

Contribution to Resources: Adds to and updates Searcher. Conducts a thorough evaluation of the outcome of research provided on a search and ensures that results are recorded in Searcher. Actively contributes to the practice knowledge system as well as to practice and research meetings.

Entrepreneurial Spirit: Works with minimal direction; is a self-starter but at the same time knows when to, and is comfortable with asking for direction when necessary. Provides meaningful feedback and when appropriate offers value-added suggestions for approaching the search in a different way. Provides research support in business development efforts.

Efficiency and Need for Closure: Work with multiple managers and prioritize task effectively. The ability to understand to complete searches quickly and at the highest quality standards, while making a profit consistent with the value delivered.

Persistence and Thoroughness: Ability to work in a fast-paced and unstructured work environment, able to assertively navigate organizational structures, but with sensitivity and finesse. Associates must reliably complete necessary paperwork and follow procedures effectively, especially those involving protecting key assets, such as proprietary databases.

Outstanding Communication Skills: Although outstanding telephone skills are especially essential, Associates nee d excellent overall communications skills, as well. They must demonstrate excellent verbal skills on the telephone, written skills in drafting specifications and references as well as other required documents, and presentation skills in client situations.

Discretion: Must project an understanding and appreciation for the strict confidentiality of client and candidate information and protect it as appropriate.

Poise and Professional Presence: Although in-person client contact is not the primary focus of this position, the Research Analyst will interface frequently with very senior stakeholders, and must project a professional image.

Positive Cultural Influence: Although our culture is independent and entrepreneurial, a team orientation is becoming increasingly important. At a minimum, the Associate must interface well with other office associates, but ideally will become a valued and important part of building a positive culture, raising other associates' job satisfaction levels, and increasing office productivity and retention rates.

LEADERSHIP CHARACTERISTICS

Getting Organized: Is well-organized, resourceful, and focused; effective and efficient at marshalling multiple resources to get things done; lays out tasks in sufficient detail to mark the trail; gets things done with less and in less time; can work on multiple tasks at once without losing track of any; foresees obstacles and plans around them.

Focusing on Action and Outcomes: Attacks everything with drive and energy with an eye on the bottom line; unafraid to initiate action before all the facts are known; drives to finish everything he/she starts.

Communicating Effectively: Writes and presents effectively; adjusts to fit the audience and the message; gets a message across with precision, clarity, brevity, and a relentless desire to re-read / proofread.

Managing Up: Is ambitious and is comfortable marketing himself/herself to higher management; knows how to relate effectively to top management, and can advocate for him/herself

Relating Skills: Warm, friendly, and interpersonally agile; easy to approach and talk to; relates well to all kinds of people; makes a pleasant first impression and builds solid relationships.

Managing Diverse Relationships: Relates well to a wide variety of diverse styles, types, and classes; open to differences; effective up, down, sideways, inside, and outside; builds diverse networks; quick to find common ground; treats differences fairly and equitably; treats everyone as a preferred customer.

Demonstrating Personal Flexibility: Open to lifelong, continuous personal improvement; aware of self and impact on others; responsive to feedback; is very flexible; can act in ways that seem contradictory and is adaptable to demand characteristics of different situations.

EDUCATION

An undergraduate degree from a well-regarded institution is required. Familiarity with Microsoft Office Products and databases (such as Bloomberg, Factiva, Lexis-Nexis) are a plus.

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Salary Range

$60,000.00 - $75,000.00

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Salary range represents the compensation Korn Ferry expects to pay to a candidate with the requirements for the job posted. Korn Ferry offers competitive compensation and benefits commensurate with experience.

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Korn Ferry Benefits

The Korn Ferry Cares Wellbeing Platform offers Employees health benefits (Medical, Dental, Vision, Short Term Disability, Basic Life and Accidental Death & Dismemberment), Critical Illness, Accident Injury, Hospital Indemnity, and Legal Insurance. Employees are eligible to enroll in Korn Ferry's Tax Deferred Savings plan 401(k). Employee Stock Purchase Program is available to all permanent employees who work 20 hours or more after 6 months of service.

Employees are eligible to receive a total of 15 days vacation annually plus paid time off for 16 company holidays. Full time eligible employees will accrue sick time commencing on the first date of employment at the rate of 3.33 hours per pay period for an annualized maximum of 80 hours.

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Internal Mobility at Korn Ferry

If you currently work for Korn Ferry or one of our affiliates, you must be eligible to apply for a different position within Korn Ferry to use the Careers Site. If you accept such a position, your benefits programs and Human Resources policies may change. Please consult with your HR contact for the new position concerning application eligibility, including any immigration/visa needs, benefit programs, and HR policies applicable to that position.

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Korn Ferry is an Equal Employment Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status or any other characteristic protected by federal, state, or local law.

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The successful candidate will need to complete background checks as part of our recruitment process, this may include criminal, education credentials, employment history, and other background information relevant to your employment qualifications

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