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Director Data Analyst Machine Learning Jobs in Newark, NJ

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... Conduct original research and data analysis on large proprietary and open-source data sets to ...

Forhyre

Machine Learning Engineer

New York, NY

Select appropriate datasets and data representation methods * Run machine learning tests and experiments * Perform statistical analysis and fine-tuning using test results * Train and retrain systems ...

NYULMC

Data Harmonization Analyst

New York, NY · On-site

... and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

... Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well versed in knowledge of creating algorithms, identifying ...

Jetro Restaurant Depot

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

Jetro / Restaurant Depot

Data Analyst

Whitestone, NY

$75K - $90K/yr

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Newark, NJ

Director Data Analyst Machine Learning information

See Newark, NJ salary details

$35.6K

$86.4K

$142.2K

How much do director data analyst machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director data analyst machine learning in Newark, NJ is $86,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,400.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Newark, NJ? For Director Data Analyst Machine Learning jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Newark, NJ look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Director Data Analyst Machine Learning jobs? Cities near Newark, NJ with the most Director Data Analyst Machine Learning job openings:
Director Data Analyst Machine Learning jobs near you

Asst Dir - Data Scientist

Moody's Corporation

Manhattan, NY • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Moody's Corporation is a global leader in ratings and integrated risk assessment. They are seeking an Assistant Director - Data Scientist to enhance modeling and analytical frameworks using state-of-the-art machine learning and deep learning techniques to solve complex financial problems.
Responsibilities:
• Partner across Moody’s business lines to enhance modeling and analytical frameworks, incorporating state‑of‑the‑art ML and deep‑learning techniques.
• Design and deliver innovative analytical solutions, leveraging deep learning and quantitative methods to address complex financial, economic, and operational problems.
• Identify opportunities for automation and model‑based decision enhancement, applying neural networks, representation learning, and statistical methods to improve accuracy, efficiency, and performance.
• Collaborate with cross‑disciplinary teams to build scalable, cloud‑based analytical platforms grounded in clean, well‑engineered data.
• Apply deep expertise in statistical, machine learning, and deep‑learning methods to develop insights and decision frameworks for internal stakeholders and clients.
• Provide technical leadership, advising business partners on modeling strategy, tradeoffs, and the appropriate role of deep learning in analytical solutions.
• Communicate technical subject matter clearly and concisely, ensuring that insights, limitations, and implications are well understood by diverse audiences.
Qualifications:
Required:
• Hands-on experience building, training, and evaluating deep-learning models - not just familiarity with the concepts. You should be comfortable working with modern architectures (e.g., transformers, sequence, and representation-learning models) and reasoning about where they outperform classical approaches and where they don't.
• Ability to explain complex modeling work clearly to senior leaders, cross-functional partners, and non-technical stakeholders, in both writing and speech.
• Strong programming skills in Python or R.
• Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance, Operations Research, or a related quantitative field; or master’s degree in any of these fields, with 2-3 years of experience in the financial industry.
Preferred:
• Depth in one or more deep-learning domains relevant to our work: representation learning for structured financial data, NLP for filings/news/unstructured text, or forecasting for macro and financial time series.
• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Experience developing and deploying models on large, complex, real-world datasets: financial statements, macro time series, text, and other unstructured sources.
• Ability to own the full model-development lifecycle: conceptualization, data exploration, design, estimation, validation, deployment, user training, and monitoring.
• Research output: publications, conference work, or open-source contributions.
Company:
In a world shaped by increasingly interconnected risks, Moody’s helps customers develop a holistic view of these risks to advance their business and act decisively. Founded in 1900, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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