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Contract Machine Learning Data Scientist Jobs in Delaware

Bespoke Labs

Machine Learning Engineer

Seaford, DE · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Newark, DE · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Middletown, DE · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Smyrna, DE · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Dover, DE · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Wilmington, DE · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Milford, DE · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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All JobsContract Machine Learning Data Scientist JobsContract Machine Learning Data Scientist Jobs in Delaware

Contract Machine Learning Data Scientist information

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What are the key skills and qualifications needed to thrive as a Contract Machine Learning Data Scientist, and why are they important?

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What is a Contract Machine Learning Data Scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.
What are popular job titles related to Contract Machine Learning Data Scientist jobs in Delaware? For Contract Machine Learning Data Scientist jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Data Scientist jobs in Delaware look for? The top searched job categories for Contract Machine Learning Data Scientist jobs in Delaware are:
What cities in Delaware are hiring for Contract Machine Learning Data Scientist jobs? Cities in Delaware with the most Contract Machine Learning Data Scientist job openings:
Contract Machine Learning Data Scientist jobs near you

Data Science Product Senior Associate

JPMorganChase

Newark, DE • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Data Science Product Senior Associate, you will build modern data and analytics products, partner with various teams, and transform complex business needs into user-centric analytics-driven features.
Responsibilities:
• Translate business problems into analytical requirements and clear acceptance criteria; refine epics and write user stories that maximize value.
• Analyze product usage, customer behavior, and model performance to surface insights that inform prioritization and roadmap decisions.
• Build executive‑ready dashboards and narratives; design A/B tests and pilots, define success metrics, and evaluate outcomes including return on investment.
• Partner with engineering on data validation, lineage, documentation, and control alignment; ensure compliance with privacy, security, and model risk requirements.
• Maintain and prioritize a backlog of data enhancements aligned to business outcomes; manage delivery using Agile practices and tooling.
• Facilitate cross‑functional forums; synthesize feedback into clear recommendations and communicate complex findings in business language.
• Standardize reporting, create playbooks, and streamline processes for repeatable, scalable insights delivery.
• Support development and testing of artificial intelligence and machine learning models and data controls to improve data quality and operational efficiency.
Qualifications:
Required:
• Bachelor’s degree in a quantitative field (for example, computer science, statistics) and a minimum of four years in product analytics, business analytics, or data science within a digital or product environment.
• Proficiency in SQL and a data visualization tool; familiarity with cloud data platforms; hands‑on experience with Amazon Web Services and Databricks.
• Proficiency in Python or R for exploratory analysis and model evaluation; experience with time series analysis and modeling, and training or fine‑tuning machine learning models.
• Experience with experimentation (A/B testing), cohort analysis, key performance indicators (KPIs), and measurement plans for model‑powered features.
• Ability to manage multiple workstreams under tight deadlines; strong analytical, problem‑solving, and collaboration skills to influence decisions across business and technology.
• In‑depth knowledge of data and business intelligence concepts, including extract, transform, load (ETL), data modeling, and reporting automation.
• Strong storytelling skills with the ability to craft clear, concise narratives from complex data for executive and non‑technical audiences.
Preferred:
• Experience with Agile delivery methodologies and tools to manage both technical and functional work.
• Exposure to machine learning productization, including model monitoring, drift detection, and feature performance measurement.
• Knowledge of banking products such as loans, deposits, cash management, derivatives, and securities from both technical and business perspectives.
• Awareness of user interface and user experience (UI/UX) principles; experience improving interaction by integrating user needs with technical functionality.
• Experience with Jira and Confluence.
• Familiarity with model risk governance and documentation standards.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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