378 Data Scientist With Ai Using Python jobs in New York,NY

USA, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually

USA, NY, New York - 183,800.00 - 248,700.00 USD annually

USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

Your Amazon package will include sign-on payments and restricted stock units (RSUs).

Final compensation will be determined based on factors including experience, qualifications, and location.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

3+ years of building machine learning models for business application experience

PhD, or Master's degree and 6+ years of applied research experience

Experience programming in Java, C++, Python or related language

Experience with neural deep learning methods and machine learning

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

Experience with large scale distributed systems such as Hadoop, Spark etc.

The pay range for this position is $35.00 - $38.00/hr.

Medical, dental & vision

Critical Illness, Accident, and Hospital

401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available

Life Insurance (Voluntary Life & AD&D; for the employee and dependents)

Short and long-term disability

Health Spending Account (HSA)

Transportation benefits

Employee Assistance Program

Time Off/Leave (PTO, Vacation or Sick Leave)

Bachelor's degree in Environmental Science, Industrial Hygiene, Occupational Health & Safety, Environmental Engineering, or a related field.

1-2 years of industrial hygiene, environmental consulting, or hazardous materials experience.

New York State Asbestos Inspector Certification required.

OSHA 40-Hour HAZWOPER Certification.

New York State Asbestos Project Monitor Certification preferred.

EPA Lead Inspector and/or Risk Assessor Certification preferred.

Mold Inspector Certification is a plus.

Familiarity with Phase I/II Environmental Site Assessments.

Experience using environmental monitoring and sampling equipment.

Salary: $120000 - $145000 USD per year

Base salary range: $120,000 – $145,000, depending on experience, plus meaningful stock options

Meaningful stock options

Full benefits (Health, Dental, Vision)

Remote-friendly - US based

Professional experience building ATS, HR technology, or recruiting-system integrations.

Familiarity with one or more ATS platforms such as Bullhorn, Avionte, JobDiva, Greenhouse, Lever, Workday, iCIMS, or SmartRecruiters.

Experience integrating third-party systems through REST APIs, webhooks, OAuth, scheduled jobs, file transfers, or data exports.

Strong Node.js, TypeScript and PostgreSQL skills.

Experience modeling and synchronizing interconnected records such as jobs, candidates, applications, submissions, and placements.

Experience designing data synchronization systems where correctness, idempotency, throughput, and recovery from partial failures matter.

Experience processing large volumes of operational data through batching, pagination, incremental synchronization, and backfills.

Ability to investigate unfamiliar systems, understand inconsistent data models, and turn ambiguous requirements into reliable solutions.

Strong debugging skills across authentication, data mapping, API behavior, synchronization state, and data quality.

A practical approach to engineering reliable systems without unnecessary complexity.

Comfort owning customer integration problems from initial discovery through deployment and ongoing support.

Experience incorporating coding agents into day-to-day software engineering work.

Experience leading technical conversations with both technical and nontechnical customer stakeholders, translating customer problems and workflows into clear integration requirements and practical solutions.

Experience handling sensitive customer and candidate data using appropriate security, privacy, access-control, and data-retention practices.

Experience with staffing-focused platforms such as Bullhorn, Avionte, or JobDiva and their recruiting workflows.

Familiarity with job distribution, candidate intake, submissions, placements, assignments, starts, credentialing, and pay-and-bill data.

Experience integrating recruiting systems with AI screening, matching, interviewing, or candidate engagement products.

Experience defining normalized recruiting models across systems with significantly different schemas and workflow stages.

Experience with XML, feed generation, and XML-based recruiting or job distribution standards.

Familiarity with recruitment marketing attribution, funnel analytics, or operational KPI reporting.

Experience with data reconciliation, historical backfills, migration projects, or customer-specific data repair.

Experience building integrations through reporting interfaces, scheduled exports, SFTP, or other fallback mechanisms when APIs are incomplete.

Experience engineering and monitoring agentic workflows that interact reliably with systems lacking conventional integration interfaces.

Familiarity with data warehouses, analytics pipelines, or business intelligence systems.

Experience working in a small startup environment where engineers own ambiguous technical and customer problems end to end.

$124899.00 - $199044.00

Medical

Dental

Vision

Flexible work arrangements and schedules (e.g., 4x10)

401(k) match

Paid time off

Holidays

Parental Leave

EAP

Flexible Spending Accounts

Education Assistance

Life Insurance

Short-Term Disability

Long-Term Disability

Bachelor's degree from an accredited college in a related discipline such as Engineering, Computer Science, Mathematics or Physics, in addition to at least 5 years of professional experience

Applicable technical experience on model-based systems engineering (MBSE) projects.

Ability to work collaboratively on an Agile team with both local and geographically distributed teammates including subcontractors, technical agents, and customers

Excellent demonstrated interpersonal and time management skillsets

Proficient in AI prompting as it applies to this position and practice.

Must be a US citizen; this position will require a government security clearance

Advanced degree from an accredited college in a related discipline such as Engineering, Computer Science, Mathematics or Physics

Experience with MBSE tools

Demonstrated ability to lead technical projects and/or development efforts

Knowledge of Python, Pytorch, ONNX, and general AI/ML tools and libraries

Basic understanding of time-domain (Kalman, Least-Squares, etc.) and frequency-domain filtering (Low-Pass, High-Pass, Band-Pass, Notch, etc.)

Proficiency working within both Windows and Unix/Linux environment

Proficiency with simulation tools (e.g. Simulink) and scripting languages (Python, MATLAB, C++/C)

Familiarity with coding in C and C++

Familiarity with Position, Navigation, and Timing with and without GPS

Familiarity with Inertial Navigation algorithms

Familiarity with Estimation and Guidance algorithms

Familiarity with active SONAR systems (Correlation Velocity Log, Doppler Velocity Log, etc.) and underwater platforms

Active Secret / Top Secret Security Clearance