Junior Data Science Associate Consultant - United States

micro1; United States; Remote; USD 70,000 - 90,000; Full time

Job summary

A leading data analytics company is seeking a Junior Data Science Associate Consultant to support the development of analytical models and data visualizations. The role involves applying advanced data analytics techniques and working closely with senior consultants. Candidates should possess a relevant degree and have 1-2 years of experience in data analytics or applied statistics, with proficiency in Python or R. Strong analytical skills and a willingness to learn are essential. This is a full-time remote position based in the United States.

Qualifications

• 1-2 years of experience in data analytics or applied statistics.
• Strong proficiency in Python or R for data processing and visualization.
• Understanding of data wrangling and exploratory analysis.

Responsibilities

• Support the development and testing of analytical models under guidance.
• Apply hypothesis testing, regression, and machine learning methods.
• Clean, transform, and visualize datasets using Python and BI tools.

Skills

Python

Machine Learning fundamentals

Analytical Thinking

SQL

Education

Bachelor’s or Master’s in Computer Science, Statistics, Data Science, or related quantitative field

Tools

AWS

Azure

Git

Job description

Job Title: Junior Data Science Associate Consultant

Job Type: Full-time

Location: Remote in The US

Job Summary

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

Key Responsibilities

• Support the development and testing of analytical and statistical models under senior guidance.
• Apply hypothesis testing, regression, and simple machine learning methods to solve structured data problems.
• Clean, transform, and visualize datasets using Python and basic BI tools.
• Assist in feature engineering, model validation, and documentation of analytical workflows.
• Collaborate with senior consultants to prepare reports and dashboards for client presentations.
• Explore and document emerging data sources and technologies relevant to ongoing projects.

Required Skills and Qualifications

• Bachelor’s or Master’s in Computer Science, Statistics, Data Science, or a related quantitative field.
• 1–2 years of experience in data analytics or applied statistics.
• Proficiency in Python or R for data processing and visualization.
• Understanding of machine learning fundamentals, data wrangling, and exploratory analysis.
• Familiarity with SQL and basic data pipelines.
• Exposure to cloud environments (AWS or Azure) and Git version control.
• Strong analytical thinking and eagerness to learn from senior mentors.

Preferred Qualifications

• Experience fine-tuning generative models and integrating classic AI techniques.
• Prior leadership experience and a record of mentoring junior colleagues.
• Domain expertise in healthcare, transportation, technology, insurance, or related sectors.

Our interview process is streamlined with a single step: an AI interview. If you perform well, our hiring managers will review your AI interview recording and may extend an offer directly based on that review.