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Data Analyst Machine Learning Jobs in New York (NOW HIRING)

Microsoft AI

Machine Learning

Manhattan, NY · On-site

... fixing data quality and curation, working with collaborators on creating new products). • OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g ...

The New York Times

Machine Learning Scientist

New York, NY · On-site

$121K - $131K/yr

We are a group of machine learning scientists and data analysts that partner with teams across The New York Times. We are looking for a Machine Learning Scientist to join the team and apply machine ...

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 ...

InstantServe LLC

Machine Learning Engineer

Manhattan, NY · Hybrid

$126K - $151K/yr

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that ...

NYULMC

Data Analyst - Model Credibility

New York, NY · On-site

We are seeking a motivated Data Analyst to join our team and contribute to an exciting research ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

New

Entravision

Machine Learning Engineer

Manhattan, NY · On-site

... data analytics and machine learning solutions to challenge business issues, as well as working ... closely with our Tech and Ops team • You will work on unique modeling challenges not covered in ...

Entravision

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer New York, NY | Full Time COMPENSATION RANGE: 140,000.00 - 170,000.00 (On ... Analyze data from different sources and provide actionable insights to business and engineering ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that ... Expertise in machine learning techniques, including but not limited to regression, classification ...

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All JobsData Analyst Machine Learning JobsData Analyst Machine Learning Jobs in New York

Data Analyst Machine Learning information

See New York salary details

$37.2K

$90.4K

$148.8K

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

As of Jun 17, 2026, the average yearly pay for data analyst machine learning in New York is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Analyst Machine Learning position, and why are they important?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting results, understanding business context, and developing models remains essential in the field of data analysis and machine learning.

Is 40 too late for data science?

For a Data Analyst Machine Learning role, age is not a barrier to entering the field. Success depends on acquiring relevant skills such as programming, statistics, and machine learning tools, which can be learned at any age through online courses or certifications.

What is a Data Analyst Machine Learning job?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the typical career progression opportunities for someone in a Data Analyst Machine Learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.

Do data analysts work with machine learning?

Data analysts often work with machine learning by preparing data, performing exploratory data analysis, and applying basic models to support decision-making. However, more advanced machine learning tasks are typically handled by data scientists or machine learning engineers who have specialized skills in algorithms and programming tools like Python or R.

What is the salary of data analyst in AI ML?

The salary of a Data Analyst specializing in AI and machine learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with skills in Python, R, SQL, and machine learning frameworks may command higher salaries, especially in tech hubs or companies focusing on AI projects.
What are the most commonly searched types of Data Analyst Machine Learning jobs in New York? The most popular types of Data Analyst Machine Learning jobs in New York are:
What are popular job titles related to Data Analyst Machine Learning jobs in New York? For Data Analyst Machine Learning jobs in New York, the most frequently searched job titles are:
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Data Analyst Machine Learning jobs near you
Senior Machine Learning Analyst

Senior Machine Learning Analyst

AvePoint

Jersey City, NJ

$190K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

About AvePoint: 

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint's global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!

About the role: 

We are seeking an analytical and innovative Senior Machine Learning Analyst to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real-world business challenges. Your efforts will help optimize data pipelines, extract actionable insights, and shape the future of intelligent solutions at AvePoint. 

Key responsibilities: 

  • Solution Design: Design, build, and deploy machine learning models leveraging structured and unstructured data that align with the overall SaaS product strategy. Collaborate with stakeholders to understand business requirements and translate them into AI-based functionalities. Drive holistic end-to-end AI architecture from data pipeline to LLM to platform components to application integration. 
  • System Integration: Architect the integration of AI components into the existing SaaS infrastructure, ensuring scalability, reliability, and optimal performance. Collaborate with development teams to implement these integrations effectively. 
  • Data Management: Design data pipelines and storage solutions for handling large volumes of data required for AI models. Ensure data security, privacy, and compliance with relevant regulations. 
  • Scalability and Performance Optimization: Architect solutions that can scale horizontally to handle growing user bases. Create and optimize AI algorithms and workflows for speed, efficiency, and resource utilization. 
  • Security and Compliance: Implement security measures to safeguard AI models and data. Ensure compliance with relevant industry standards and regulations. Develop guidance for the use of AI in product and internal tooling. 
  • Execution & Adoption Ownership: Proactively identify and remove barriers to execution across data, engineering, and product workflows to ensure timely delivery of AI solutions. Serve as a steward of adoption by partnering with product, engineering, and go-to-market teams to ensure solutions are usable, measurable, and successfully adopted by end users and customers. 

The ideal candidate has: 

  • 5+ years of experience working as an engineer or architect with a focus on one or more of the following: machine learning, data science or natural language processing 
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. 
  • Preferably worked on enriching SaaS products with AI/ML functionalities 
  • Strong proficiency in AI technologies, machine learning, and deep learning frameworks. 
  • Previous experience determining measurable, revenue generating or business solving outcomes and showing how AI can drive these. 
  • Strategic thinking skills including the ability to lead and resolve company-wide technical discussions. Excellence at creating clarity and alignment for technical initiatives, in close partnership with our product management team. 
  • Great ability to build trust through collaboration with multiple teams, articulate a vision, build consensus, and get hands-on to drive implementation. 

Benefits We Offer  

  • Competitive market-based compensation (salary, yearly bonus + equity).  
  • Career progression and internal mobility opportunities.  
  • Work-life balance through a hybrid working model.  
  • Unlimited PTO. 

This role offers the opportunity to work at the intersection of machine learning innovation and industry impact, contributing to AvePoint's vision for secure, intelligent, and data-driven workplaces. 

If you are passionate about transforming data into actionable solutions and want to be part of a global tech leader, we want to hear from you! 

The Salary Range for this role is $190,000 - $220,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.

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