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

Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows. * Design realistic business and analytics use cases based on professional experience and industry ...

Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows. * Design realistic business and analytics use cases based on professional experience and industry ...

This person will implement and develop machine learning models to enhance our platform ... Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

SQL, Python, BigData, Data Analytics As a Data Analyst, you will leverage machine learning and predictive analytics to solve high impact business challenges across Insider Intelligence. This role is ...

... 85/hr Analyze large and complex datasets to derive actionable insights and inform business ... Collaborate with cross-functional teams to understand business needs and provide data-driven ...

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 ...

Senior Analyst

West Orange, NJ · On-site

$91K - $129K/yr

The Senior Business Data Analyst will wrangle large and complex data sets and build machine learning models to aid Revenue Cycle & Finance initiatives across operations & strategy. The Senior ...

Senior Analyst

West Orange, NJ · On-site

$91K - $129K/yr

The Senior Business Data Analyst will wrangle large and complex data sets and build machine learning models to aid Revenue Cycle & Finance initiatives across operations & strategy. The Senior ...

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 ...

... AI, machine learning, anomaly detection, and predictive analytics is a plus. Preferred ... Data Analytics / Business Intelligence • AI or Machine Learning Why This Role Stands Out This ...

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Data Analyst Machine Learning information

What is a data analyst machine learning?

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 key skills and qualifications needed to thrive in the data analyst machine learning role?

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.

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.

What is the salary of data analyst in AI ML?

The average salary for 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 tools tend to earn higher salaries, especially in tech hubs and 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 job categories do people searching Data Analyst Machine Learning jobs in New York look for?

The top searched job categories for Data Analyst Machine Learning jobs in New York are:

Infographic showing various Data Analyst Machine Learning job openings in New York as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution.

Senior Data Analyst (Machine Learning) : Con Edison : New York

Tech Mirrors

Manhattan, NY • On-site

$90 - $120/hr

Other

Posted 12 days ago


Job description

Senior Data Analyst/Engineer (Machine Learning) :: Con Edison :: New York

Contract

Job description Required Certifications
  • Databricks Data Engineer certification (most important; can be completed post-onboarding).
  • Google Cloud certification (acceptable post-hire).
Core Technical Skills
  • SQL – Must be able to write and execute SQL queries independently. Strong hands‑on ability is required, including data extraction and basic to intermediate transformations.
  • PySpark – Core requirement. Strong hands‑on experience building data pipelines and performing large‑scale data processing.
  • Python / Pandas – Required for data cleaning, transformation, and analysis.
  • Machine Learning – 20% of the role. Candidates must have hands‑on ML experience (classification, regression, clustering, model evaluation). No training will be provided on ML concepts.
  • Data Analysis Focus – Majority of the role involves SQL-based data extraction and PySpark/Pandas-driven analysis and insights.
  • ML + Analytics Integration – Candidates should understand end-to-end workflows combining SQL, PySpark, and ML.
Team Structure

Approximately 10 Data Engineers and 6 Data Scientists within the team.

Please ensure candidates are screened heavily for hands‑on PySpark, Pandas, SQL coding ability, and real ML implementation experience before submission.

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