6,226 Big Data Analytics jobs in the United States

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics.
• Work with product owners, data owners and customers to evaluate data requirements and identify right technology solutions and implementation.
• Design, develop, code, test, debug and deploy applications for scalable and extensible applications.
• Produce high quality code utilizing Test Driven Development techniques.
• Participate in retrospectives to drive continuous improvement within the feature team.
• Participating in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.
• Implement Automation: Continuous Integration and Continuous Delivery.
• Manage Cloud Development and Deployment: Support development and deployment of applications into AWS Public clouds.

• Formal training or certification on software engineering* concepts and 3+ years applied experience.
• Advanced knowledge of architecture, design and business processes
• Full Software Development Life Cycle experience within an Agile framework
• Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio or Informatica.
• Experience with the development and decomposition of complex SQL (RDMS Platforms)
• Experience with Data Warehousing concepts (including Star Schema).
• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices.
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption).
• Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
• Experience with one or more leading cloud providers (AWS/Azure/GCP)

• Ability to work fast and quickly ramp up on new technologies and strategies.
• Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
• Appreciation of Controls and Compliance processes for applications and data.
• In depth understanding of data technologies and solutions is preferable.
• Drive Process improvements and implement process changes as necessary.
• Knowledge of industry-wide Big Data technology trends and best practices

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

• Lead and manage complex, data-driven projects across multiple teams and stakeholders.
• Communicate effectively with both technical and non-technical partners, ensuring clear requirements, alignment, and progress tracking.
• Understand and analyze the meaning of data within datasets: how it's transformed, how it drives metrics, and what breaks when it changes.
• Handle fast-paced, ambiguously defined projects with shifting priorities and multiple customers.
• Switch seamlessly between projects and domains as needed, maintaining ownership and momentum.
• Collaborate with engineering, analytics, and business teams to deliver reliable, impactful solutions.

• Strong project management skills with a track record of successful delivery in data-related domains.
• Exceptional written and verbal communication abilities.
• Hands-on experience working with data teams and understanding the business context and analytical impact of data.
• Strong understanding and experience with big data technologies( Spark, Hive, Hadoop) and SQL written experience , including:
• Experience with data pipelines , ETL processes , and data quality management.
• Comfortable using macOS and a Mac laptop as a primary work environment.

Job DescriptionJob Description

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials, SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discovery or IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success.
 

We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy. 
 

Responsibilities:

• Data Mining:  Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations.
• Machine Learning Model Development:  Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization.
• Protein Target Identification:  Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases.
• Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams.
• Collaboration:  Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals.
• Communication:  Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations.

Requirements:

• Master's or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field.

• 5+ years of experience in machine learning and data mining, with a strong focus on clinical trial data analysis and its application to drug development and target selection.

• Technical Skills:
  • Proficiency in programming such as Python, R, or SQL. 
  • Experience with machine learning frameworks such as TensorFlow, or PyTorch.
  • Familiarity with data visualization tools such as Tableau, Power BI, or D3.js.
• Domain Knowledge:  Strong understanding of clinical trial design, biostatistics, drug target, and immunotherapy principles.
• Communication Skills:  Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Nice to Have:

• Familiarity with containerization using Docker.
• Knowledge of data security and compliance regulations such as HIPAA.
• Experience with agile development methodologies and version control systems such as Git.

Company Culture:

At SystImmune, we value innovation, collaboration, and creativity. We believe in fostering a work environment that is supportive, inclusive, and stimulating. Our team members are passionate about their work and are committed to making a positive impact on the lives of patients. SystImmune is committed to creating a diverse and inclusive work environment. Our goal is to build a team that reflects the of our community and provides equal opportunities for everyone to succeed. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply.

About Our Team:

Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology. We work closely together to develop innovative solutions that can improve patient outcomes. If you are a motivated and talented individual who is passionate about machine learning and data analysis, we would love to hear from you.

What to Expect:

As a Machine Learning Scientist at SystImmune, you can expect to work on challenging projects that require the application of machine learning techniques to real-world problems. You will have the opportunity to collaborate with cross-functional teams, including researchers, clinicians, and data scientists. You will also have access to cutting-edge technologies and tools, as well as professional development opportunities to help you grow in your career.

Compensation and Benefits:
The expected base salary range for this position is $100,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills.
While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise align strongly with the requirements of the role.
 
SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.
 
We offer an opportunity for you to learn and grow while making significant contributions to the company’s success.
 
SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.
 

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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

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials, SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discovery or IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success.

We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy.

Responsibilities:

• Data Mining: Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations.
• Machine Learning Model Development: Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization.
• Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases.
• Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams.
• Collaboration: Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals.
• Communication: Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations.

• Master's or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field.
• 5+ years of experience in machine learning and data mining, with a strong focus on clinical trial data analysis and its application to drug development and target selection.
• Technical Skills:
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning frameworks such as TensorFlow, or PyTorch.
  • Familiarity with data visualization tools such as Tableau, Power BI, or D3.js.
• Domain Knowledge: Strong understanding of clinical trial design, biostatistics, drug target, and immunotherapy principles.
• Communication Skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Familiarity with containerization using Docker.
• Knowledge of data security and compliance regulations such as HIPAA.
• Experience with agile development methodologies and version control systems such as Git.

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