Amazon Machine Learning Data Associate Salary Jobs in Usa

OFFICIAL JOB TITLE: Institutional Research Associate

DIVISION: Academic Affairs

DEPARTMENT: Institutional Research and Assessment

BARGAINING UNIT STATUS: ESU, Cat 12

REPORTS TO: Director of Institutional Research and Assessment

SUPERVISES: N/A

SUMMARY PURPOSE OF POSITION: Supports institutional research functions in data extraction, interpretation, and presentation and helps implement a variety of data inquiries and information collection activities; extracts data from complex files and systems including the campus enterprise system (across its functional areas including students, human resources, finances, and other system areas) and Institutional Research and UMass databases; translates extracted data into other data structures for specific reports (such as the HEIRS data system for reporting unit data to the Massachusetts Department of Higher Education); applies expertise in data interpretation ensuring consistent and auditable results and interacts with campus staff and representatives of external organizations to validate existing data, obtain new data, and support information and data needs; reports data extraction and inquiry results in a variety of complex formats, including in-house publications and reports, ad-hoc reports or inquiries, and external surveys or other external data reports that can be at the federal or state levels.

EXAMPLES OF PRIMARY DUTIES AND RESPONSIBILITIES:

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• Extracts data from complex files and systems including the campus enterprise system and creates and maintains SPSS databases and dictionaries.
  
• Translates extracted data into other data structures for specific reports, such as those for the comprehensive HEIRS data system for reporting unit data to the Massachusetts Department of Higher Education.
  
• Applies expertise in data interpretation using the enterprise information system (PeopleSoft) and IR/UMass databases, ensuring consistent and auditable results across the functional areas of the enterprise system (including students, human resources, finances, and other system areas). Interpretation includes accurate application of data definitions/look-up tables and the application of subtotals, percentages, averages, percentiles, and similar functions.
  
• Interacts with campus staff and representatives of external organizations to validate existing data and obtain new data and supports information and data needs for other campus units as assigned.
  
• Reports data extraction and inquiry results in a variety of complex formats, including in-house publications and reports, ad-hoc reports or inquiries, and external surveys, especially for college handbooks and the Common Data Set, and for other external data reports that can be at the federal or state levels.
  
• Performs other related duties as assigned.
  

MINIMUM QUALIFICATIONS:

• 
  
• EDUCATION: Bachelor's Degree in a related field
  
• EXPERIENCE: Demonstrated (over 3 years) experience in the general field of programming, data extraction, and reporting.
  
• OTHER: May need to be available for evening/weekend hours as needed; some travel to off-campus locations may occur
  

PREFERRED QUALIFICATIONS:

• 
  
• Experience in a college/university or other institutional setting performing management reporting and analysis
  
• Experience in a higher education setting
  
• Experience with enterprise system reporting and analysis
  
• Experience in using the PeopleSoft enterprise information system and the OBIEE inquiry tool
  
• Experience working in a data warehouse environment
  

KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

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• Ability to learn data values and interrelationships in a comprehensive enterprise information system and apply them in a range of specific contexts and reports.
  
• Demonstrated database and reporting skills including SQL queries, OBIEE or related reporting tool, and SPSS and/or Excel to perform analyses and general reports.
  
• Ability to provide professional-level accuracy and precision of interpretation of complex sets of data.
  
• Able to manage multiple competing priories and projects
  
• Knowledge of basic statistical applications.
  

SALARY: $52,756.00 to $65,945.20

UMass Dartmouth offers exciting benefits such as:

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• 75% Employer-Paid Health Insurance
  
• Flexible Spending Accounts
  
• Life Insurance
  
• Long Term Disability
  
• State Pension Retirement Plan
  
• Optional Retirement Savings Plans
  
• Tuition Credit (Employee, Spouse, & Dependents)
  
• Twelve (12) paid holidays
  
• Paid personal, vacation, and sick time
  
• And More!
  

Benefits for ESU Union: ESU

Applicants must be authorized for employment in the U.S. on a full-time basis. Employment-based visa sponsorship is not available.

To apply please submit a letter of interest, a current resume and the contact information for three professional references.

The posting deadline for early consideration for internal ESU applicants is January 30, 2026.

The review of applications will be ongoing until the position is filled.

We are seeking a skilled and motivated Data Privacy & Cybersecurity Attorney to join an industry-leading team advising private and public companies of all sizes across a variety of industries, including artificial intelligence and machine learning, cloud computing, software, and fintech. This high-impact role offers the opportunity to engage directly with clients, lead significant matters, and work across a broad range of privacy, data, and cybersecurity issues in both transactional and advisory contexts. The salary wage range for this job posting is $250,000 to $435,000.

Responsibilities:

• Advise clients on cyber, data, and privacy compliance across a full range of matters, including CCPA/CPRA, GDPR, HIPAA, CIPA, and other applicable state and federal privacy laws
• Counsel on privacy, data processing, and cybersecurity matters in connection with corporate and technology transactions, including mergers and acquisitions, public offerings, and other commercial and strategic transactions
• Draft and negotiate data processing agreements, privacy schedules, and related commercial agreements
• Conduct information security and privacy due diligence for corporate transactions
• Advise on data breach response, incident response planning, and related regulatory obligations
• Monitor and advise on emerging AI laws, regulatory standards, and enforcement trends
• Support or lead matters involving litigation and/or regulatory enforcement relating to data privacy and cybersecurity

Qualifications Required:

• J.D. from an ABA-accredited, nationally recognized law school with excellent academic credentials
• 4+ years of experience advising clients on data privacy, cybersecurity, and related compliance matters, in a private law firm or in-house setting
• Active member in good standing with the California State Bar
• Expertise in CCPA/CPRA, GDPR, HIPAA, CIPA, and other state and federal privacy frameworks
• Experience with transactional work, including mergers and acquisitions, capital markets, or technology transactions
• Excellent legal writing, drafting, negotiation, and analytical skills
• Strong verbal, written, and interpersonal communication skills with both legal and technical stakeholders

Preferred:

• CIPP certification
• Experience with regulatory policy, enforcement matters, and/or data privacy litigation
• Familiarity with emerging AI regulatory frameworks
• Experience in technology industries

Interested candidates should apply with their resumes. If you are a potential fit, we will schedule a confidential conversation.

We’re hiring a Data Insights Analyst to join a growing analytics team focused on turning large, complex datasets into clear, actionable insights that drive business decisions. This is a hands-on role for someone who enjoys digging into data, working with Python and SQL, and partnering with leaders to understand what’s really happening in the business. You’ll work across multiple functions and contribute directly to high-impact initiatives around forecasting, performance analysis, and strategic decision-making.

Keys to an Interview: Data Insights Analyst | CPG Manufacturing

• 2-5 years' Data Science and/or Business Analyst experience
• Master's Degree preferred
• Strong working experience with Python for data analysis (and exposure to machine learning is a major plus)
• Advanced SQL skills with the ability to pull and manipulate data from large data warehouses
• Ability to interpret existing dashboards and datasets and identify meaningful insights
• Clear communication skills and comfort explaining technical findings to non-technical stakeholders
• Comfortable working on-site, with flexibility

Key Responsibilities: Data Insights Analyst | CPG Manufacturing

• Analyze large, complex datasets to identify trends, opportunities, and risks across the business
• Leverage Python, SQL, Excel, and Power BI to deliver actionable insights and recommendations
• Build and enhance analytical models to support forecasting, budgeting, and strategic planning
• Develop, maintain, and improve dashboards and reporting used by leadership
• Clean, transform, and validate data to ensure accuracy and consistency
• Partner cross-functionally to understand business questions and translate them into data-driven solutions
• Present findings clearly and concisely to senior stakeholders
• Support automation and process improvements to increase analytical efficiency
• Contribute to high-visibility initiatives that influence growth and long-term strategy

Senior P&C Insurance Data Scientist opening in Atlanta.

Lead team of data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; collaborate with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI.

Ideal candidate has 8+ years of Data Science/Predictive Modeling experience in a P&C insurance setting, including extensive background in Python, SQL, and Git.

(PR13082)

P&C Insurance Data Scientist opening in Atlanta.

Collaborate with data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; partner with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI.

Ideal candidate has 2+ years of Data Science/Predictive Modeling experience, including extensive background in Python, SQL, and Git; knowledge of P&C insurance a plus.

(PR13082A)

Open date: July 1, 2025

Most recent review date: Tuesday, Jul 15, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Department of Statistics at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department.

We hire a number of qualified professionals and academics to hold temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below.

Teaching Responsibilities:

STATISTICS 2: Introduction to Statistics

STATISTICS C8: Foundations of Data Science

STATISTICS 20: Introduction to Probability and Statistics

STATISTICS 21: Introduction to Probability and Statistics for Business

STATISTICS 33A: Introduction to Programming in R

STATISTICS 33B: Introduction to Advanced R

STATISTICS 88: Probability and Mathematical Statistics in Data Science

STATISTICS C100: Principles and Techniques of Data Science

STATISTICS 131A: Statistical Methods for Data Science

STATISTICS 133: Concepts in Computing with Data

STATISTICS 134: Concepts of Probability

STATISTICS 135: Concepts of Statistics

STATISTICS 150: Stochastic Processes

STATISTICS 151A: Linear Modeling: Theory and Applications

STATISTICS 153: Time Series

STATISTICS 154: Modern Statistical Prediction and Machine Learning

STATISTICS 155: Game Theory

STATISTICS 159: Reproducible and Collaborative Statistical Data Science

General Duties:

General duties include developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary.

TSP (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' 3-week format in late July and early August .

Department:

Division:

To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit::

Statistics Course Descriptions: courses/stat/

The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree).

Additional qualifications include evidence of college level instructional experience.

Preference for a PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Philosophy and Experience

  
  

• Teaching Documentation - Teaching materials and/or student evaluations.

  
  

• Copy of Transcript (Optional)

  
  

• 2-3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal 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 protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.

The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest.

What you'll do:

• 
  
• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc.
  
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting.
  
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
  
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
  
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
  
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
  
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
  

What we're looking for:

• 
  
• 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
  
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
  
• Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
  
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
  
• Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
  
• Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
  
• Experience leading key technical projects.
  
• Strong Experimentation background.
  
• Statistical rigor. Experience with causal inference projects.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-NM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Are you passionate about learning, data, scale, and agility?

We’re looking for motivated professionals who love turning complex data into meaningful insights and business value. If collaboration, innovation, and problem-solving excite you — let’s connect!

What You’ll Do

• Analyze raw data: assess quality, cleanse, and structure for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering teams to bring analytical prototypes to production
• Generate actionable insights that drive smarter business decisions

What We’re Looking For

• Bachelor’s degree (or equivalent experience) in a quantitative field — Statistics, Mathematics, Computer Science, Engineering, etc.
• 1–2 years of experience in quantitative analytics or data modeling
• Strong grasp of predictive modeling, ML algorithms, clustering, and classification techniques
• Proficiency in at least one programming language: Python, C, C++, Java, or SQL
• Familiarity with Big Data frameworks (Hadoop, Spark, Cassandra) and visualization tools (Tableau, Power BI, etc.)

Who Are We?

We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.

Company Highlights:

• Our Specialization: Providing IT consulting services.
• Experience: Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.
• Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? If so, apply today! We look forward to hearing from you.