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Senior Data Analyst Machine Learning Jobs (NOW HIRING)

MeridianLink, Inc. has the following position available in Irvine, CA: Sr. Data Analyst (ML-XZ ... Use Python & other programming tools for data analysis, machine learning, model building, & model ...

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

This role is critical for driving improved business performance through advanced statistical and machine learning analytics, predictive modeling, and strategic data visualization. The Senior Analyst ...

Knowledge of machine learning techniques and algorithms for predictive analytics. Data Analyst ($71 ... Senior Data Analyst ($83,257.41 - $118,687.71 annually) A Senior Data Analyst is responsible for ...

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ... Lead the design, development, and implementation of advanced machine learning models and algorithms ...

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ... Lead the design, development, and implementation of advanced machine learning models and algorithms ...

They implement models built by senior team members, design dashboards and reports, and surface ... Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning ...

They implement models built by senior team members, design dashboards and reports, and surface ... Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning ...

... 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 ...

... 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 ...

Senior Data Analyst

Irvington, NY · On-site

$89K - $112K/yr

Data Analyst Senior Location: 4 Irving Place, NYC (Hybrid - onsite required) Duration: 12-Month ... Applied Machine Learning • ML Ops • PySpark • Python Pandas • Strong SQL • Azure ...

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

San Antonio, TX

$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

Milpitas, CA · On-site

$115K - $130K/yr

Senior Data Analyst Job Type: Full time, Onsite Salary Range: $115K to $130K (based on experience ... Working knowledge of machine learning concepts and tools (AWS SageMaker or equivalent); experience ...

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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 Jun 19, 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 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.

How does a Senior Data Analyst specializing in 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 are the key skills and qualifications needed to thrive as a Senior Data Analyst Machine Learning, and why are they important?

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.

What is a Senior Data Analyst in 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.
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Data Analyst - Machine Learning

Equation Staffing

Manhattan, NY

Full-time

Posted 16 days ago

Be an early applicant


Job description

Does getting in on the ground floor as an initial stakeholder, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you.

My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands, to millions of dollars, that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B.

The need role is for a data-savvy individual to join the Data Science team as the first Data Analyst, on the team. This person will create consumer-focused research content and support user-centric product development and growth based on real-time feed of data sets and data points. Our ideal candidate is a sharp, thoughtful problem solver, who enjoys identifying key business levers and challenges, and then building analytical frameworks with under to impact strategic decision making.

Will use big data and machine learning to help clients make decisions in a completely unprecedented way. The responsibility of the Data Analyst will be to decipher the data to find the insights and patterns that matter the most.


KEY RESPONSIBILITIES

· Interpret data, analyze results using statistical techniques and provide ongoing reports

· Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

· Acquire data from primary or secondary data sources and maintain databases/data systems by working with the data procurement team

· Identify, analyze, and interpret trends or patterns in complex data sets

· Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

· Write SQL/Hive/Spark queries to extract necessary data and present the information in a data visualization platform such as Tableau. Datorama, DOMO or similar to generate business insights.

· Proactively perform data exploration on user behavior to discover future testing opportunities.

· Work collaboratively with a cross-functional team (Product, Marketing & Engineering) to solve complex business/product/marketing problems.

· Create and manage business/operational dashboards to monitor business line performance.


QUALIFICATIONS

· Proven working experience as a data analyst or business data analyst

· Technical expertise regarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)

· Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

· BS in Mathematics, Economics, Computer Science, Information Management or Statistics

· Bachelor’s degree in a quantitative field

· You have extensive experience using SQL and Tableau, Looker or similar is a Plus.

· You understand experimentation, hypothesis testing, and causal inference

· Experience in Deep Learning and Machine Learning algorithms is a plus


It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team!


Salary based on experience