Machine Learning Analyst Job Description Template

Tatia Tatoshvili

Last updated on February 19, 2025 | 8 min read

Job Description Template

General overview of the role

A Machine Learning Analyst is responsible for analyzing complex datasets, developing machine learning models, and providing data-driven insights to enhance business operations and decision-making. This role requires a strong foundation in data analysis, statistical modeling, and machine learning techniques to transform raw data into actionable insights. Machine Learning Analysts collaborate with data scientists, engineers, and business stakeholders to ensure that machine learning models effectively address business challenges and optimize operational efficiency.

Typical duties and responsibilities

• Analyze large datasets to identify trends, patterns, and correlations that can be leveraged for predictive modeling and machine learning solutions.
• Develop and implement machine learning algorithms, from data preprocessing and feature engineering to model selection and deployment.
• Work closely with data engineers and scientists to design efficient data pipelines for collecting, cleaning, and transforming data.
• Collaborate with business stakeholders to understand requirements and translate them into data-driven machine learning solutions.
• Evaluate and optimize machine learning models using appropriate performance metrics to ensure accuracy and reliability.
• Provide actionable insights and strategic recommendations based on model outputs to improve business processes.
• Visualize and present analytical findings to non-technical stakeholders, ensuring complex concepts are clearly communicated.
• Monitor the performance of deployed models and implement continuous improvements and updates as needed.
• Stay up-to-date with advancements in AI, machine learning, and data science methodologies to enhance business capabilities.

Required skills and experience

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• 3+ years of experience in machine learning and data analysis, including practical use of classification, regression, and clustering algorithms.
• Proficiency in programming languages such as Python, R, or SQL for data manipulation and model development.
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras, PyTorch).
• Hands-on experience with data processing tools like Pandas, NumPy, and SciPy for large-scale data manipulation.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Experience with cloud platforms (AWS, GCP, Azure) for machine learning model deployment and big data processing.
• Familiarity with version control systems such as Git for collaborative development.
• Strong analytical, problem-solving, and critical-thinking skills to interpret complex datasets and extract meaningful insights.

Nice to have/preferred skills and experience (not required)

• Master’s degree in Data Science, Machine Learning, or a related field.
• Experience with deep learning and neural networks, including frameworks like TensorFlow and PyTorch.
• Knowledge of Big Data technologies, such as Hadoop, Apache Spark, or Databricks.
• Familiarity with MLOps best practices, including automated model deployment and monitoring tools.
• Experience in statistical analysis and hypothesis testing to validate model outputs.
• Proficiency in business intelligence tools like Tableau, Power BI, or Looker to visualize key insights.

Machine Learning Analyst salary

Salaries for Machine Learning Analysts vary depending on experience, industry, and location:

• Entry-level Machine Learning Analysts typically earn between $80000 – $100000 annually.
• Mid-level professionals can earn between $100000 – $130000 annually.
• Senior Machine Learning Analysts or those working on large-scale enterprise AI projects may earn $140000 or more annually.

How can I become a good Machine Learning Analyst?

• Develop strong data analysis and machine learning skills, mastering regression, classification, clustering, and deep learning techniques.
• Gain hands-on experience with Python, R, and SQL, along with ML frameworks like TensorFlow and Scikit-learn.
• Learn data engineering and preprocessing techniques to ensure clean, high-quality datasets for model training.
• Stay up-to-date with the latest advancements in AI and machine learning, attending conferences, workshops, and online courses.
• Work on real-world machine learning projects, contributing to open-source AI initiatives and developing a strong portfolio.
• Build strong problem-solving and analytical skills to transform complex data into business insights.
• Develop effective communication skills to present machine learning findings to non-technical stakeholders.
• Gain experience with cloud computing and Big Data tools to scale machine learning models efficiently.

What are the key Machine Learning Analyst skills?

Hard skills

• Expertise in machine learning techniques (supervised and unsupervised learning).
• Proficiency in Python, R, and SQL for data analysis and model development.
• Hands-on experience with ML frameworks (Scikit-learn, TensorFlow, Keras, PyTorch).
• Experience with cloud ML platforms (AWS SageMaker, Google Vertex AI, Azure ML).
• Strong understanding of statistics, probability, and hypothesis testing.
• Familiarity with Big Data tools (Hadoop, Spark) for large-scale data processing.

Soft skills

• Strong analytical and critical-thinking skills to extract meaningful insights from data.
• Excellent communication skills to present machine learning results to non-technical stakeholders.
• Ability to work collaboratively with data scientists, engineers, and business teams.
• Attention to detail to ensure high-quality data processing and model development.
• Problem-solving mindset to develop innovative solutions for business challenges.

Why join us as a Machine Learning Analyst?

• Work with cutting-edge machine learning technologies to solve real-world business problems.
• Collaborate with top data scientists, engineers, and AI professionals in a fast-paced environment.
• Enjoy opportunities for career growth, upskilling, and exposure to the latest AI advancements.
• Be part of a company that values innovation, research, and data-driven decision-making.
• Access competitive salaries, comprehensive benefits, and a strong work-life balance.

What we offer

• Extensive health and wellness coverage.
• Work-from-home options and flexible hours.
• Paid time off for vacations, holidays, and sick leave.

Here are a few more benefits that, according to Forbes, are valued by employees:

• Retirement savings plans with employer matching, such as 401(k) plans, are highly valued by employees.
• Early leave on Fridays.
• 4-day work week.
• Private dental insurance.

About us

We recommend including general information about the company, such as its mission, values, and industry focus. For instance, you could say:

"DevsData LLC is an IT recruitment agency that connects top tech talent with leading companies to drive innovation and success. Their diverse team of US specialists brings unique viewpoints and cultural insights, boosting their capacity to meet client demands and build inclusive work cultures. Over the past 8 years, DevsData LLC has successfully completed more than 80 projects for startups and corporate clients in the US and Europe."

Explore sample resumes

Explore these effective resume examples to guide your focus and priorities during the candidate review.

• AI Developer Resume Sample
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Contact DevsData LLC

If you’re looking to hire a qualified Machine Learning Analyst, reach out to DevsData LLC at general@devsdata.com or visit www.devsdata.com. The company’s recruitment process is thorough and efficient, utilizing a vast database of over 65000 professionals.

They are renowned for their rigorous 90-minute interviews to assess candidates’ technical skills and problem-solving abilities.

Additionally, DevsData LLC holds a government-approved recruitment license, ensuring compliance with industry standards and regulations.