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Business Analyst Machine Learning Jobs (NOW HIRING)

Alt

Machine Learning Engineer

San Francisco, CA · On-site

Machine Learning Engineer (Full time) JOB DUTIES: The Machine Learning Engineer will design ... Collaborate with business stakeholders to translate analytical requirements into quantifiable ...

Hive

Business Analyst, Hive Models

San Francisco, CA · On-site

$80K - $100K/yr

Business Analyst, Hive Models As a Business Analyst on the Hive Models team, you will work closely with our Machine Learning, Product, and Business Development teams to ensure successful client ...

Hive

Business Analyst, Hive Models

San Francisco, CA

$80K - $100K/yr

Business Analyst, Hive Models As a Business Analyst on the Hive Models team, you will work closely with our Machine Learning, Product, and Business Development teams to ensure successful client ...

Saviance

Business Analyst (Healthcare)

Business Analyst (Healthcare) Duration: 10 Months Contract Location: Remote BigRio is a technology ... We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis ...

New

ECS Limited

Business Analyst

$120K - $130K/yr

Business Analyst Everforth ECS is seeking an experienced Business Analyst to support enterprise ... Familiarity with machine learning workflows, predictive analytics concepts, and data-driven ...

Argyle Infotech

Search Business Analyst

Seattle, WA · On-site

Search Business Analyst Seattle WA - Onsite FTE with Altimetrik up to $125K plus benefits Client ... Knowledge of query optimization, indexing, and machine learning techniques for search relevance.

New

SynergisticIT

Business Analyst

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

Aivra Health LLC

$28 - $45/hr

... business problems. Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... business requirements and translate them into technical solutions. * Conduct data analysis and ...

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Business Analyst Machine Learning information

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How much do business analyst machine learning jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for business analyst machine learning in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

Do business analysts use machine learning?

Business analysts increasingly use machine learning techniques to analyze large datasets, identify patterns, and support data-driven decision-making. Familiarity with tools like Python, R, or specialized analytics platforms is often beneficial for integrating machine learning into their workflows.

How much do machine learning business analysts make?

Machine learning business analysts typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data analysis, programming, and tools like Python or R tend to have higher salaries.

How does a Business Analyst specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Business Analysts in Machine Learning frequently act as a bridge between business stakeholders and technical teams. They work closely with data scientists to translate business requirements into data-driven solutions and help define project goals, KPIs, and success metrics. Collaborating with engineering teams, they ensure that data pipelines and machine learning models are implemented according to specifications and that business objectives are met. This role often involves facilitating communication, managing expectations, and ensuring alignment across multidisciplinary teams.

Which 3 jobs will survive AI?

Business analysts specializing in machine learning will continue to be in demand as they interpret data insights and develop models that require human judgment. Roles that involve complex problem-solving, strategic decision-making, and understanding of domain-specific knowledge are less likely to be fully automated. Skills in data analysis, critical thinking, and communication will remain valuable in AI-related fields.

What are the key skills and qualifications needed to thrive as a Business Analyst in Machine Learning, and why are they important?

To thrive as a Business Analyst in Machine Learning, you need a solid understanding of data analysis, statistics, and business processes, often supported by a degree in business, statistics, or computer science. Familiarity with tools such as Python, SQL, data visualization platforms, and machine learning frameworks is highly valued, along with certifications like CBAP or data analytics credentials. Strong communication, problem-solving, and stakeholder management skills help you bridge the gap between technical teams and business objectives. These skills are crucial for translating complex data insights into actionable business strategies that drive value.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI directors, which can command such salaries due to their expertise, experience, and leadership responsibilities. These positions often require advanced skills in data science, machine learning frameworks, and strong business acumen, and may involve managing large teams or strategic AI initiatives.

What is the difference between Business Analyst Machine Learning vs Data Analyst?

AspectBusiness Analyst Machine LearningData Analyst
Required CredentialsBachelor's in Business, Data Science, or related; knowledge of ML toolsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization
Work EnvironmentCollaborates with data scientists and ML engineers in tech or finance sectorsWorks with data sets to generate reports in various industries
Employer & Industry UsageTech companies, finance, e-commerceRetail, healthcare, marketing
Search & Comparison IntentUnderstanding roles involving ML and analytics in businessAnalyzing data for insights and reporting

The main difference is that Business Analyst Machine Learning focuses on applying machine learning techniques to solve business problems, often requiring knowledge of ML tools and algorithms. Data Analysts primarily analyze data sets to generate reports and insights without necessarily implementing ML models. Both roles involve data interpretation but differ in technical complexity and scope.

What are Business Analyst Machine Learning roles?

Business Analyst Machine Learning roles involve bridging the gap between business objectives and machine learning solutions. Professionals in this position analyze data, identify business problems, and collaborate with data scientists to design and implement machine learning models that drive informed decision-making. They often translate business needs into technical requirements, evaluate the impact of ML initiatives, and communicate findings to stakeholders. These roles require a mix of analytical, technical, and communication skills.
Machine Learning Engineer

Machine Learning Engineer

Alt

San Francisco, CA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale-the Alt Value that powers every trade, loan, and product on the platform.
REFERRALS: The below position is eligible for employee incentives provided pursuant to Alt Platform Inc.'s referrals policy, which is described in detail at https://app.notion.com/p/altxyz/Hiring-Referral-program-29d859d114314e39886ae51c9fb1bdf9?source=copy_link
EMPLOYER NAME: Alt Platform Inc.
JOB TITLE: Machine Learning Engineer (Full time)
JOB DUTIES: The Machine Learning Engineer will design, develop, deploy, and maintain advanced machine learning models and data analysis systems to support specialized domain modeling and proprietary feature engineering. The person in this role will analyze structured and unstructured datasets, perform applied experimentation, develop production-grade machine learning pipelines, optimize modeling infrastructure, and collaborate across business and engineering teams to translate business needs into scalable data-driven solutions. The Machine Learning Engineer will be primarily responsible for the following duties:
  • Conduct applied research and experimentation to design, train, evaluate, and refine machine learning models, including performing feature engineering, selecting modeling techniques, validating model performance, and documenting analytical methods.
  • Develop, test, and deploy production machine learning systems by managing the complete MLOps lifecycle, including experiment tracking, model versioning, containerization, orchestration of automated workflows, and monitoring of model performance in production environments.
  • Maintain and optimize machine learning infrastructure to support training, inference, and data processing workflows, including configuring cloud compute environments, tuning distributed computation jobs, and improving system efficiency and scalability.
  • Collaborate with business stakeholders to translate analytical requirements into quantifiable modeling objectives, define evaluation criteria, validate assumptions with data, and communicate analytical findings and modeling results.
  • Design, prepare, and review technical documentation, including model design specifications, architecture diagrams, data-flow documentation, and systems integration requirements to support maintainability and long-term scalability.
  • Develop AI-driven automation solutions using Large Language Models to streamline internal workflows, design LLM-based agentic processes, validate automated outputs, and measure accuracy and efficiency improvements.
  • Design and develop internal software tools and backend services that support data quality, enable analytical workflows, expose model insights to internal teams, and integrate with organizational data systems and APIs.

No travel is required.
Fully remote position (100%) from anywhere in U.S. reporting to HQ in San Francisco, CA
JOB REQUIREMENTS: Master's degree (or foreign equivalent) in data science, economics, mathematics or computer science and 1 year of experience in any occupations in which required experiences were acquired (may be pre-Master's). Professional experiences must include:
  • 1 year of experience designing, training, and evaluating machine learning models using Python-based data science libraries, including experience performing feature engineering and developing predictive and descriptive models using tools such as scikit-learn and pandas.
  • Experience using machine-learning lifecycle tools, including MLflow (or similar platforms) for experiment tracking, reproducible training workflows, and model versioning.
  • Experience using Docker for containerization to package machine learning pipelines and ensure reproducible deployment environments.
  • 1 year of experience orchestrating data processing and machine learning workflows, including scheduling, monitoring, and managing dependencies using Apache Airflow.
  • 1 year of experience using CI/CD tools to automate model training, testing, and deployment processes.
  • 1 year of experience configuring and optimizing cloud compute environments to support training, inference, and large-scale data processing tasks.
  • 1 year of experience developing AI-driven automation workflows using language models, including integrating language-based model components into analytical or operational processes.
  • Experience developing backend services and APIs using FastAPI, REST, or GraphQL to support data access, model serving, and analytical tooling.
  • 1 year of experience working with SQL databases, including PostgreSQL, and cloud data platforms (e.g., Snowflake), including writing analytical queries and implementing data-quality validation workflows.
  • Experience using distributed data-processing tools, including Spark, for large-scale data transformation and feature-engineering operations.

SALARY OFFERED: From $196,776 per year
JOB LOCATION: San Francisco, CA
TO APPLY SEND RESUME TO: Eryn@alt.xyz (write "Machine Learning Engineer" in subject line)

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