1240 Data Scientist Machine Learning Python jobs in Brooklyn,NY

Bachelor's Degree or equivalent work experience: Computer Science, Data Analytics/Data Science, Business Analytics/Information Systems - Required.
Spanish language proficiency preferred
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.
Strong Proficiency in SQL, DAX, Python, PowerPoint, Excel, Power BI
3+ Years Financial Planning and Analysis in the Banking or Financial Services Industry - Preferred.
Master's Degree: Business Administration, Accounting and/or Economics - Preferred.
Demonstrated financial modeling knowledge and skills with strong analytical, qualitative, and problem-solving skills.
Strong experience in and knowledge of financial planning and analysis.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 26 min Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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Sr. Scientist, Product Development R&D

Kenvue

Summit, NJ 07901

Hybrid~ 44 minPaid Time Off

A minimum of a Bachelor's degree in a relevant subject area (Science, Engineering, Pharmacy with pharmaceutical or consumer (cosmetics, OTC) experience) with at least 5 years of related industry experience, a Master's degree with 3-5 years related experience, or a PhD in a relevant subject area is required.
A degree in Chemistry, Chemical Engineering, Industrial Pharmacy, Material Science or other science or engineering discipline is preferred.
Strong organizational and interpersonal skills and ability to work in a matrixed environment, successfully partnering with multidisciplinary teams is required
MS Office (Word and Excel) proficiency, excellent oral and written communication skills are required
Effective presentations skills that are used to communicate clearly & informatively
Ability to work cross-functionally in a team environment while being an individual contributor is required
Detail-oriented, organized, and able to manage multiple tasks
Technical writing skills that facilitate the creation of documents that are complete & accurate
Ability to handle routine processes and complexity, risk taking and decision making
Formulate new products that align with the Baby brand strategy and pipeline with supervisor oversight.
Conduct Design of Experiments, laboratory activities and analysis with hands-on involvement.
Provide technical support for product lifecycle management, including post-commercialization support and troubleshooting technical issues

SmartExplore AI is experimental.

New, Posted 7 hours ago