45,273 Data jobs in the United States

• Design and implement advanced data mining techniques and algorithms.
• Develop and validate predictive models using machine learning techniques.
• Analyze large, complex datasets to identify trends, patterns, and anomalies.
• Extract, clean, and transform data from various sources.
• Develop and maintain data visualizations and dashboards for reporting insights.
• Collaborate with business stakeholders to define analytical requirements and objectives.
• Communicate complex analytical findings clearly to technical and non-technical audiences.
• Stay current with the latest advancements in data mining, machine learning, and analytics.
• Contribute to the development and enhancement of data infrastructure and tools.
• Provide mentorship and guidance to junior data analysts.

• Master's degree or PhD in Statistics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 7 years of experience in data mining, statistical analysis, or machine learning.
• Proficiency in programming languages such as Python or R.
• Strong experience with SQL and database management.
• Expertise in machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Demonstrated ability to work independently in a remote setting.

Responsibilities

The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities: - Build rules, algorithms and machine learning models, to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc. - Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries. - Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.

Qualifications

Minimum Qualifications -Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors (e.g. finance if applying for financial fraud roles). - Solid data science skills. Proficiency in statistical analytical tools, such as SQL, R and Python. - Familarity with machine learning or social/content online platform analytics. Bonus given to proficiency in modern machine learning applications. - Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

Job Information

(For Pay Transparency)Compensation Description (Annually)

The base salary range for this position in the selected city is $ - $ annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About USDS

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Data Security Statement

This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

USDS Reasonable Accommodation

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

Postdoctoral Fellows

Postdoctoral Fellows

Job: Postdoctoral Fellows

Organization: School of Medicine - Clinical Departments

Job Posting: Jun 17, 2020

Welcome to the Baltimore campus of the University of Maryland, founded in 1807 along a ridge in what was then called Baltimore Town. Today, this 61-acre research and technology complex encompasses 65 buildings in West Baltimore near the Inner Harbor.

The University is Maryland's only public academic health, human services, and law center. Seven professional and graduate schools train the majority of the state's physicians, nurses, dentists, lawyers, social workers, and pharmacists.

Under the leadership of President Jay A. Perman, MD, the University is a leading partner in the redevelopment of the west side of Baltimore . The University of Maryland BioPark, which opened in October 2005, promotes collaborative research opportunities and bioscience innovation.

Sponsored research totaled $567.1 million in Fiscal Year 2010. With 6,349 studentsand 6,717 faculty members and staff, the University is an economic engine that returns more than $5 in economic activity for every 1 of state general funds appropriation. The University community gives more than2 million hours a year in service to the public.

The University of Maryland, Baltimore (UMB) is the States public health, law and human services university devoted to excellence in professional and graduate education, research, patient care, and public service. As a diverse community of outstanding faculty, staff and students, and using state-of-the-art technological support, we educate leaders in health care delivery, biomedical science, global health, social work and the law. We emphasize interdisciplinary education and research in an atmosphere that explicitly values civility, diversity, collaboration, teamwork and accountability. By conducting internationally recognized research to cure disease and to improve the health, social functioning and just treatment of the people we serve, we foster economic development in the City, State, and nation. We are committed to ensuring that the knowledge we generate provides maximum benefit to society and directly enhances our various communities.

The University of Maryland is an Equal Opportunity/Affirmative Action employer and educational institution and does not discriminate on the basis of race, color, religion, age, ancestry, national origin, gender, sexual orientation, physical or mental disability, marital status or veteran's status to recruit, hire, compensate, train and promote employees and applicants for employment in all job levels with regard to their qualifications and without consideration to the aforementioned categories. Exceptions to this policy will be made only as allowed by law for example, due to bona fide occupational qualifications or lack of reasonable accommodations for disabilities.

Description

ICF International seeks an experienced Data Mining and Analytics Engineer to support the research and development of new cyber analytic capabilities that will help the US protect and defend its networks and critical information systems. The successful cleared candidate will act as a Data Mining and Analytics Engineer to support a large federal cyber security analytic program. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate.  Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale.

As the Data Mining and Analytics Engineer, your exceptional skillset will create useful and actionable insight for the customer through the development of analytic solutions (hardware, analytics, tools, techniques, practices, deployment, standards, performance specifications, etc.) for analytic use cases developed during the performance of this project. You will work closely with the Analytics Research team to identify platform enhancements that support the forward-looking analytics under consideration.

The ideal candidate has extensive knowledge of a wide variety of systems and networks to include high-volume/high-availability systems. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, work with the latest and emerging technologies, and all while building a great career at ICF!

This role is primarily telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area.

What You Will Be Doing:

• Perform knowledge elicitation from customer subject matter experts and convert that to build analytic solutions

• Design, engineer, and optimize sustainment of large-scale distributed computation platforms and supporting environment (ecosystems) for various stakeholders, business owners, and industry partners

• Oversee the transition of services from third-party vendors to the analytic environment and be responsible for ad hoc and formal end-user training

• Identify applicable data to perform analytics and create solutions to acquire, transform, and load or correlate data components to and from the analytic environment

• Develop custom data modeling procedures to assist with data mining, modeling, and production

• Assess the effectiveness and accuracy of new data sources and data gathering techniques

• Develop processes and tools to monitor and analyze model performance and data accuracy

• Interpret and communicate results to non-technical customers

What You Must Have:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related field

• Position requires a minimum of 5 years experience in data modeling and working with datasets of all sizes using a variety of data mining and data analysis methods/tools

• Demonstrated hands-on working experience and advanced knowledge of cyber threats, tools, techniques, and processes is required

• Active security clearance required as part of client contract requirements

• US Citizenship required as part of client contract requirements

Preferred Skills/Experience:

• Practical experience with the Databricks Intelligence Platform

• Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details

• Experience in developing analytic tools, processes, and governance for storing, modeling, capturing, and delivering data to the client’s enterprise

• Experience with computational notebook technologies such as Databricks, Zeppelin, or Jupyter

• Experience with the application of visual analytics to computational analytic results

• Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)

• Experience with database querying like SQL

• Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products

• Amazon Web Services (AWS) Certified Cloud Practitioner or higher desired

• CompTIA Security+ or higher cybersecurity certification preferred

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO ( policy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email   and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 

Read more about  workplace discrimination righ t s or our benefit offerings which are included in the  Transparency in (Benefits) Coverage Act.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. 

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at  . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.  

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$89,203.00 - $151,646.00

Virginia Remote Office (VA99)

Description

ICF International seeks an experienced Data Mining and Analytics Engineer to support the research and development of new cyber analytic capabilities that will help the US protect and defend its networks and critical information systems. The successful cleared candidate will act as a Data Mining and Analytics Engineer to support a large federal cyber security analytic program. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate.  Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale.

As the Data Mining and Analytics Engineer, your exceptional skillset will create useful and actionable insight for the customer through the development of analytic solutions (hardware, analytics, tools, techniques, practices, deployment, standards, performance specifications, etc.) for analytic use cases developed during the performance of this project. You will work closely with the Analytics Research team to identify platform enhancements that support the forward-looking analytics under consideration.

The ideal candidate has extensive knowledge of a wide variety of systems and networks to include high-volume/high-availability systems. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, work with the latest and emerging technologies, and all while building a great career at ICF!

This role is primarily telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area.

What You Will Be Doing:

• Perform knowledge elicitation from customer subject matter experts and convert that to build analytic solutions

• Design, engineer, and optimize sustainment of large-scale distributed computation platforms and supporting environment (ecosystems) for various stakeholders, business owners, and industry partners

• Oversee the transition of services from third-party vendors to the analytic environment and be responsible for ad hoc and formal end-user training

• Identify applicable data to perform analytics and create solutions to acquire, transform, and load or correlate data components to and from the analytic environment

• Develop custom data modeling procedures to assist with data mining, modeling, and production

• Assess the effectiveness and accuracy of new data sources and data gathering techniques

• Develop processes and tools to monitor and analyze model performance and data accuracy

• Interpret and communicate results to non-technical customers

What You Must Have:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related field

• Position requires a minimum of 5 years experience in data modeling and working with datasets of all sizes using a variety of data mining and data analysis methods/tools

• Demonstrated hands-on working experience and advanced knowledge of cyber threats, tools, techniques, and processes is required

• Active security clearance required as part of client contract requirements

• US Citizenship required as part of client contract requirements

Preferred Skills/Experience:

• Practical experience with the Databricks Intelligence Platform

• Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details

• Experience in developing analytic tools, processes, and governance for storing, modeling, capturing, and delivering data to the client’s enterprise

• Experience with computational notebook technologies such as Databricks, Zeppelin, or Jupyter

• Experience with the application of visual analytics to computational analytic results

• Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)

• Experience with database querying like SQL

• Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products

• Amazon Web Services (AWS) Certified Cloud Practitioner or higher desired

• CompTIA Security+ or higher cybersecurity certification preferred

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO ( policy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email   and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 

Read more about  workplace discrimination righ t s or our benefit offerings which are included in the  Transparency in (Benefits) Coverage Act.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. 

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at  . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.  

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$89,203.00 - $151,646.00

Virginia Remote Office (VA99)

• Develop and deploy advanced machine learning models for mining operations.
• Conduct in-depth data analysis and identify key drivers of performance.
• Collaborate with domain experts to define and solve complex problems.
• Mentor and guide junior data scientists.
• Present findings and recommendations to executive leadership.
• Drive innovation in data science applications for the mining industry.
• Ensure data quality and integrity for analytical projects.