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Data Scientist Machine Learning Engineer

Jersey City,NJ

613 Data Scientist Machine Learning Engineer jobs in Jersey City,NJ

New, Posted 16 hours ago
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Sr. Data / M/L Engineer [SK-12273]

Skill

New York, NY 10261

Hybrid~ 25 minHealth InsuranceRetirement Benefit

  • Strong experience with SQL and database management.
  • Proven experience in designing and implementing data pipelines and ETL processes.
  • Proficiency in machine learning and statistical modeling.
  • Hands-on experience with leading Business Intelligence (BI) tools.
  • Demonstrated full-stack development knowledge.
  • Experience with major cloud platforms.
  • Strong understanding of data architecture, data modeling, and infrastructure setup.
  • Ability to effectively work with and manage large-scale datasets.
  • Solid programming experience (e.g., Python, R).
  • Exceptional problem-solving and analytical skills.
  • Bachelor's degree in Electrical Engineering or Computer Engineering.
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Clinical Laboratory Scientist

United States Army

Jersey City, NJ 07305

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Senior Technologist, Data Center Fluids

BP

Wayne, NJ 07470

Hybrid~ 39 minFlexible ScheduleHealth InsuranceRetirement Benefit

  • Degree in Chemistry, Engineering, or related technical discipline.
  • Demonstrated fundamental skills in problem analysis, experiment design, data processing and reporting.
  • Proven broad experience of technical development and technology deployment, especially the capabilities of developing an idea to a solution.
  • Wide connections with industrial partners including companies, institutes and researchers.
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Staff Product Manager, Measurement & Marketing Science

HelloFresh

New York, NY 10025

~ 25 min OnsitePaid Time OffRetirement Benefit

  • 8–10+ years in Product Management with meaningful experience in Marketing Science, Ad-Tech, Measurement, Growth, Analytics Platforms, or Data Products.
  • Deep understanding of MMM, incrementality, experimentation, attribution, and marketing effectiveness.
  • Proven track record building platforms rather than isolated features.
  • Strong strategic thinking paired with analytical rigor.
  • Experience partnering closely with Data Science teams on model-driven products.
  • AI-native mindset with a bias toward experimentation, automation, and rapid iteration.
  • Ability to influence executive stakeholders through evidence-backed recommendations
  • Product leadership experience remains to be described as required in job posting (no explicit additional pre-hire requirement beyond the items listed).
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Senior Scientist- Self Care

Kenvue

Summit, NJ 07901

~ 26 min OnsitePaid Time Off

  • Bachelor's Degree with 5+ years or Master's degree with 3+ years of relevant experience
  • Degree must be in Materials Science, Biomedical Engineering, Pharmaceutical Sciences, Chemical Engineering, Chemistry, or a related discipline
  • Experience in early-stage product development within the consumer health care or pharmaceutical industry
  • Proficiency in formulation development, process optimization, and/or analytical techniques
  • Experience with QbD (Quality by Design) principles is required
  • Experience in typical unit operations such as granulation, roller compaction, drying, milling, blending, compression/encapsulation, film coating, and spray drying etc.
  • Knowledge and experience with regulatory requirements including ICH, FDA, compendia (e.g. USP, JP, EP, etc.) is highly preferred
  • Proven track record of managing complex projects, with strong organizational and leadership skills
  • Excellent project management skills, including timeline management, and team coordination
  • Flexibility in schedule to support global teams and willingness to travel up to 25% domestically and internationally
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Head of Product Management – Intelligence Ventures

Spectrum

New York, NY 10036

~ 25 min Onsite

  • Bachelor's Degree in Business, Computer Science, Engineering, Economics, or a related field
  • 10+ years Product management leadership experience for data, intelligence, SaaS, or platform products
  • 5+ years Hands-on product leadership, including directly owning products and building or leading a small, senior team
  • Deep expertise in product management for data, intelligence, or platform products built on AI/ML systems, with the ability to turn embeddings, features, and scores into successful commercial offerings
  • Proven success owning the full product lifecycle for technical and business-facing products, including APIs, feeds, SDKs, dashboards, and insights tools
  • Experience building and packaging data products across APIs, feeds, clean rooms, zero-copy platforms, and audience/activation products, with strong commercial and developer-experience instincts
  • Strong product strategy and commercial acumen, including pricing, packaging, tiering, business cases, and prioritizing investments across markets and revenue streams
  • Deep market fluency in adtech, martech, data, measurement, identity, clean rooms, DSPs/SSPs, and retail media, with the ability to translate market feedback into product decisions
  • Skilled at communicating complex AI/ML and data concepts to executives and partners, with a strong grasp of privacy-preserving data products, governance, and regulatory considerations
  • Comfortable as a hands-on, player-coach leader in a lean, early-stage environment, with the ability to build teams, navigate ambiguity, and deliver against ambitious goals
  • Strong interest in agentic AI and emerging intelligence-product interfaces, including AI-ready APIs, retrieval-grounded experiences, and multi-agent workflows
  • Ability to serve as a visionary leader, think strategically, and anticipate future needs and trends with respect to relevant technologies
  • Ability to lead large change, complex projects and initiatives, foster teamwork, and build a strong culture of collaboration
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New, Posted 6 hours ago
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Director, Analytics and Data Science (Hybrid)

Institute of International Education

New York, NY 10007

Hybrid~ 25 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Requires a bachelor's degree and at least eight (8) years of related work experience, or an equivalent combination of education and experience.
  • Minimum 5 years working in data and technology, 3 years in Enterprise Data Strategy, and 3 years leading Enterprise Data Management and Data Governance practices.
  • Expert level knowledge of Data Visualization with PowerBI (or similar tools).
  • Experience working with ETL (Extract, Transform and Load), Data Transformations, Data Warehouse and Building Data Pipelines.
  • Strong project management and presentation skills, including a track record of overseeing a portfolio of multiple projects and comfort with both large and small audiences.
  • Knowledge of common tools and methods for data science, machine learning, and business intelligence
  • Capability to generate Data Visualization and Data Insights with existing data from Programs.
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Grubhub Driver - Westchester, NY - Fast Cash, Flexible Work!

Grubhub

Westchester, NY 10461

Flexible Schedule
Easy Apply
Teaching in NYC - No Teaching Experience Required

Success Academy Charter Schools

New York, NY 10012

~ 25 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • A bachelor's degree before your first day of work with Success Academy (a background in education is not required).
  • Ability to work in person in New York City.
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New, Posted 1 day ago
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iHire
Machine Learning Engineer

Capital One

New York, NY 10001

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