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Senior Data Analyst Machine Learning Jobs (NOW HIRING)

Sr. Data Analyst

Manhattan, NY · On-site

$94K - $119K/yr

RIT Solutions, Inc. is seeking a Sr. Data Analyst to leverage their expertise in machine learning model deployment. The role involves working with Azure Databricks and requires strong analytical ...

... as a senior data science and analytics professional supporting DOJ JMD/OCIO and HSTF. This role leads advanced analytics, machine learning modeling, network analysis, ETL development, Tableau ...

The Senior Data Scientist provides advanced analytics, machine learning, and investigative data support. Working closely with criminal investigators, auditors, and technical stakeholders, this ...

Senior Data Analyst

$88K - $111K/yr

They are seeking a Senior Data Analyst who will lead client projects, conduct data analytics, and ... machine learning Qualifications : Required : • Bachelors Degree in Analytics, Economics ...

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... machine learning models. Essential duties include the following: * Develops and provides ...

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... machine learning models. Essential duties include the following: * Develops and provides ...

Senior Data Analyst

$100K - $125K/yr

Phase2 is looking for a Senior Data Analyst who can help our clients move from data collection to ... Experience with AI-assisted analytics, machine learning-supported insights, or automated reporting ...

Showing results 21-40

Senior Data Analyst Machine Learning information

See salary details

$55K

$99.2K

$135.5K

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

As of Sep 9, 2026, the average yearly pay for senior data analyst machine learning in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

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

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

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Infographic showing various Senior Data Analyst Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Sr. Data Analyst

Manhattan, NY • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees

$94K - $119K/yr

Full-time

Re-posted 24 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Sr. Data Analyst to leverage their expertise in machine learning model deployment. The role involves working with Azure Databricks and requires strong analytical skills and proficiency in relevant programming languages.
Qualifications:
Required:
• 7+ years of experience in ML model deployment using Azure Databricks.
• Proficiency in PySpark, Python, and SQL.
• Experience with Azure Databricks ML Flow and ML Ops best practices.
• Experience with deploying and managing LLMs and GenAI models on Databricks.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Bachelor's degree in Computer Science, Data Science, or a related field.
Preferred:
• Master's preferred.
• Experience with statistical analysis is a plus.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.